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Publications of Rachel A. Adcock    :chronological  alphabetical  combined listing:

%% Journal Articles   
@article{fds373515,
   Author = {Hsiung, A and Poh, J-H and Huettel, SA and Adcock,
             RA},
   Title = {Curiosity evolves as information unfolds.},
   Journal = {Proc Natl Acad Sci U S A},
   Volume = {120},
   Number = {43},
   Pages = {e2301974120},
   Year = {2023},
   Month = {October},
   url = {http://dx.doi.org/10.1073/pnas.2301974120},
   Abstract = {When people feel curious, they often seek information to
             resolve their curiosity. Reaching resolution, however, does
             not always occur in a single step but instead may follow the
             accumulation of information over time. Here, we investigated
             changes in curiosity over a dynamic information-gathering
             process and how these changes related to affective and
             cognitive states as well as behavior. Human participants
             performed an Evolving Line Drawing Task, during which they
             reported guesses about the drawings' identities and made
             choices about whether to keep watching. In Study 1, the
             timing of choices was predetermined and externally imposed,
             while in Study 2, participants had agency in the timing of
             guesses and choices. Using this dynamic paradigm, we found
             that even within a single information-gathering episode,
             curiosity evolved in concert with other emotional states and
             with confidence. In both studies, we showed that the
             relationship between curiosity and confidence depended on
             stimulus entropy (unique guesses across participants) and on
             guess accuracy. We demonstrated that curiosity is
             multifaceted and can be experienced as either positive or
             negative depending on the state of information gathering.
             Critically, even when given the choice to alleviate
             uncertainty immediately (i.e., view a spoiler), higher
             curiosity promoted continuing to engage in the
             information-gathering process. Collectively, we show that
             curiosity changes over information accumulation to drive
             engagement with external stimuli, rather than to shortcut
             the path to resolution, highlighting the value inherent in
             the process of discovery.},
   Doi = {10.1073/pnas.2301974120},
   Key = {fds373515}
}

@article{fds372794,
   Author = {Wang, YC and Adcock, RA and Egner, T},
   Title = {Toward an integrative account of internal and external
             determinants of event segmentation.},
   Journal = {Psychon Bull Rev},
   Year = {2023},
   Month = {September},
   url = {http://dx.doi.org/10.3758/s13423-023-02375-2},
   Abstract = {Our daily experiences unfold continuously, but we remember
             them as a series of discrete events through a process called
             event segmentation. Prominent theories of event segmentation
             suggest that event boundaries in memory are triggered by
             significant shifts in the external environment, such as a
             change in one's physical surroundings. In this review, we
             argue for a fundamental extension of this research field to
             also encompass internal state changes as playing a key role
             in structuring event memory. Accordingly, we propose an
             expanded taxonomy of event boundary-triggering processes,
             and review behavioral and neuroscience research on internal
             state changes in three core domains: affective states, goal
             states, and motivational states. Finally, we evaluate how
             well current theoretical frameworks can accommodate the
             unique and interactive contributions of internal states to
             event memory. We conclude that a theoretical perspective on
             event memory that integrates both external environment and
             internal state changes allows for a more complete
             understanding of how the brain structures experiences, with
             important implications for future research in cognitive and
             clinical neuroscience.},
   Doi = {10.3758/s13423-023-02375-2},
   Key = {fds372794}
}

@article{fds371224,
   Author = {Sinclair, AH and Wang, YC and Adcock, RA},
   Title = {Instructed motivational states bias reinforcement learning
             and memory formation.},
   Journal = {Proc Natl Acad Sci U S A},
   Volume = {120},
   Number = {31},
   Pages = {e2304881120},
   Year = {2023},
   Month = {August},
   url = {http://dx.doi.org/10.1073/pnas.2304881120},
   Abstract = {Motivation influences goals, decisions, and memory
             formation. Imperative motivation links urgent goals to
             actions, narrowing the focus of attention and memory.
             Conversely, interrogative motivation integrates goals over
             time and space, supporting rich memory encoding for flexible
             future use. We manipulated motivational states via cover
             stories for a reinforcement learning task: The imperative
             group imagined executing a museum heist, whereas the
             interrogative group imagined planning a future heist.
             Participants repeatedly chose among four doors, representing
             different museum rooms, to sample trial-unique paintings
             with variable rewards (later converted to bonus payments).
             The next day, participants performed a surprise memory test.
             Crucially, only the cover stories differed between the
             imperative and interrogative groups; the reinforcement
             learning task was identical, and all participants had the
             same expectations about how and when bonus payments would be
             awarded. In an initial sample and a preregistered
             replication, we demonstrated that imperative motivation
             increased exploitation during reinforcement learning.
             Conversely, interrogative motivation increased directed (but
             not random) exploration, despite the cost to participants'
             earnings. At test, the interrogative group was more accurate
             at recognizing paintings and recalling associated values. In
             the interrogative group, higher value paintings were more
             likely to be remembered; imperative motivation disrupted
             this effect of reward modulating memory. Overall, we
             demonstrate that a prelearning motivational manipulation can
             bias learning and memory, bearing implications for
             education, behavior change, clinical interventions, and
             communication.},
   Doi = {10.1073/pnas.2304881120},
   Key = {fds371224}
}

@article{fds373427,
   Author = {Sinclair, AH and Taylor, MK and Brandel-Tanis, F and Davidson, A and Chande, AT and Rishishwar, L and Andris, C and Adcock, RA and Weitz, JS and Samanez-Larkin, GR and Beckett, SJ},
   Title = {Communicating COVID-19 exposure risk with an interactive
             website counteracts risk misestimation.},
   Journal = {PLoS One},
   Volume = {18},
   Number = {10},
   Pages = {e0290708},
   Year = {2023},
   url = {http://dx.doi.org/10.1371/journal.pone.0290708},
   Abstract = {During the COVID-19 pandemic, individuals depended on risk
             information to make decisions about everyday behaviors and
             public policy. Here, we assessed whether an interactive
             website influenced individuals' risk tolerance to support
             public health goals. We collected data from 11,169 unique
             users who engaged with the online COVID-19 Event Risk Tool
             (https://covid19risk.biosci.gatech.edu/) between 9/22/21 and
             1/22/22. The website featured interactive elements,
             including a dynamic risk map, survey questions, and a risk
             quiz with accuracy feedback. After learning about the risk
             of COVID-19 exposure, participants reported being less
             willing to participate in events that could spread COVID-19,
             especially for high-risk large events. We also uncovered a
             bias in risk estimation: Participants tended to overestimate
             the risk of small events but underestimate the risk of large
             events. Importantly, even participants who voluntarily
             sought information about COVID risks tended to misestimate
             exposure risk, demonstrating the need for intervention.
             Participants from liberal-leaning counties were more likely
             to use the website tools and more responsive to feedback
             about risk misestimation, indicating that political
             partisanship influences how individuals seek and engage with
             COVID-19 information. Lastly, we explored temporal dynamics
             and found that user engagement and risk estimation
             fluctuated over the course of the Omicron variant outbreak.
             Overall, we report an effective large-scale method for
             communicating viral exposure risk; our findings are relevant
             to broader research on risk communication, epidemiological
             modeling, and risky decision-making.},
   Doi = {10.1371/journal.pone.0290708},
   Key = {fds373427}
}

@article{fds367675,
   Author = {Poh, J-H and Vu, M-AT and Stanek, JK and Hsiung, A and Egner, T and Adcock,
             RA},
   Title = {Hippocampal convergence during anticipatory midbrain
             activation promotes subsequent memory formation.},
   Journal = {Nat Commun},
   Volume = {13},
   Number = {1},
   Pages = {6729},
   Year = {2022},
   Month = {November},
   url = {http://dx.doi.org/10.1038/s41467-022-34459-3},
   Abstract = {The hippocampus has been a focus of memory research since
             H.M's surgery abolished his ability to form new memories,
             yet its mechanistic role in memory remains debated. Here, we
             identify a candidate memory mechanism: an anticipatory
             hippocampal "convergence state", observed while awaiting
             valuable information, and which predicts subsequent
             learning. During fMRI, participants viewed trivia questions
             eliciting high or low curiosity, followed seconds later by
             its answer. We reasoned that encoding success requires a
             confluence of conditions, so that hippocampal states more
             conducive to memory formation should converge in state
             space. To operationalize convergence of neural states, we
             quantified the typicality of multivoxel patterns in the
             medial temporal lobes during anticipation and encoding of
             trivia answers. We found that the typicality of anticipatory
             hippocampal patterns increased during high curiosity.
             Crucially, anticipatory hippocampal pattern typicality
             increased with dopaminergic midbrain activation and uniquely
             accounted for the association between midbrain activation
             and subsequent recall. We propose that hippocampal
             convergence states may complete a cascade from motivation
             and midbrain activation to memory enhancement, and may be a
             general predictor of memory formation.},
   Doi = {10.1038/s41467-022-34459-3},
   Key = {fds367675}
}

@article{fds362530,
   Author = {Chiew, KS and Harris, BB and Adcock, RA},
   Title = {Remembering Election Night 2016: Subjective but not
             objective metrics of autobiographical memory vary with
             political affiliation, affective valence, and
             surprise.},
   Journal = {J Exp Psychol Gen},
   Volume = {151},
   Number = {2},
   Pages = {390-409},
   Year = {2022},
   Month = {February},
   url = {http://dx.doi.org/10.1037/xge0001080},
   Abstract = {Flashbulb memories represent a unique phenomenon linking
             research on cognition with research on emotion, yet most
             studies on this phenomenon have characterized collective
             events that are negative and unexpected in nature. In
             contrast, the 2016 American election of Donald Trump was a
             public, culturally shared event, eliciting extreme emotional
             responses that were positive for some individuals but
             negative for others, as well as varying levels of surprise.
             We longitudinally evaluated autobiographical memories for
             Election Night 2016 in a large online sample of Clinton
             supporters, Trump supporters, and third-party/nonvoters over
             a 12-month period, in terms of both objective memory metrics
             (information quantity and memory consistency) and subjective
             memory metrics (including memory confidence, metacognition,
             and sensory experience). Emotional responses to the election
             outcome varied widely, with Clinton supporters reporting
             highly negative responses, Trump supporters reporting highly
             positive responses, and third-party/nonvoters reporting
             mildly negative responses. Emotional intensity was enhanced
             in surprised versus nonsurprised individuals. Relative to
             third-party/nonvoters, Clinton and Trump supporters reported
             greater memory vividness, event importance, and sensory
             experience. Additionally, limited valence effects on
             subjective memory were observed (including higher memory
             confidence in Trump supporters and higher memory rehearsal
             in Clinton supporters). These differences in subjective
             experience were observed despite similar levels of
             information quantity and consistency as a function of
             valence. This characterization of memories for surprising
             positive events suggests they share many of the paradoxical
             qualities of memories for negative events often discussed as
             "flashbulb memories" but also points to potential
             differences in memory phenomenology for personal versus
             collectively experienced events. (PsycInfo Database Record
             (c) 2022 APA, all rights reserved).},
   Doi = {10.1037/xge0001080},
   Key = {fds362530}
}

@article{fds362014,
   Author = {Sinclair, AH and Manalili, GM and Brunec, IK and Adcock, RA and Barense,
             MD},
   Title = {Prediction errors disrupt hippocampal representations and
             update episodic memories.},
   Journal = {Proc Natl Acad Sci U S A},
   Volume = {118},
   Number = {51},
   Year = {2021},
   Month = {December},
   url = {http://dx.doi.org/10.1073/pnas.2117625118},
   Abstract = {The brain supports adaptive behavior by generating
             predictions, learning from errors, and updating memories to
             incorporate new information. Prediction error, or surprise,
             triggers learning when reality contradicts expectations.
             Prior studies have shown that the hippocampus signals
             prediction errors, but the hypothesized link to memory
             updating has not been demonstrated. In a human functional
             MRI study, we elicited mnemonic prediction errors by
             interrupting familiar narrative videos immediately before
             the expected endings. We found that prediction errors
             reversed the relationship between univariate hippocampal
             activation and memory: greater hippocampal activation
             predicted memory preservation after expected endings, but
             memory updating after surprising endings. In contrast to
             previous studies, we show that univariate activation was
             insufficient for understanding hippocampal prediction error
             signals. We explain this surprising finding by tracking both
             the evolution of hippocampal activation patterns and the
             connectivity between the hippocampus and neuromodulatory
             regions. We found that hippocampal activation patterns
             stabilized as each narrative episode unfolded, suggesting
             sustained episodic representations. Prediction errors
             disrupted these sustained representations and the degree of
             disruption predicted memory updating. The relationship
             between hippocampal activation and subsequent memory
             depended on concurrent basal forebrain activation,
             supporting the idea that cholinergic modulation regulates
             attention and memory. We conclude that prediction errors
             create conditions that favor memory updating, prompting the
             hippocampus to abandon ongoing predictions and make memories
             malleable.},
   Doi = {10.1073/pnas.2117625118},
   Key = {fds362014}
}

@article{fds362016,
   Author = {Haugg, A and Renz, FM and Nicholson, AA and Lor, C and Götzendorfer,
             SJ and Sladky, R and Skouras, S and McDonald, A and Craddock, C and Hellrung, L and Kirschner, M and Herdener, M and Koush, Y and Papoutsi,
             M and Keynan, J and Hendler, T and Cohen Kadosh and K and Zich, C and Kohl,
             SH and Hallschmid, M and MacInnes, J and Adcock, RA and Dickerson, KC and Chen, N-K and Young, K and Bodurka, J and Marxen, M and Yao, S and Becker,
             B and Auer, T and Schweizer, R and Pamplona, G and Lanius, RA and Emmert,
             K and Haller, S and Van De Ville and D and Kim, D-Y and Lee, J-H and Marins,
             T and Megumi, F and Sorger, B and Kamp, T and Liew, S-L and Veit, R and Spetter, M and Weiskopf, N and Scharnowski, F and Steyrl,
             D},
   Title = {Predictors of real-time fMRI neurofeedback performance and
             improvement - A machine learning mega-analysis.},
   Journal = {Neuroimage},
   Volume = {237},
   Pages = {118207},
   Year = {2021},
   Month = {August},
   url = {http://dx.doi.org/10.1016/j.neuroimage.2021.118207},
   Abstract = {Real-time fMRI neurofeedback is an increasingly popular
             neuroimaging technique that allows an individual to gain
             control over his/her own brain signals, which can lead to
             improvements in behavior in healthy participants as well as
             to improvements of clinical symptoms in patient populations.
             However, a considerably large ratio of participants
             undergoing neurofeedback training do not learn to control
             their own brain signals and, consequently, do not benefit
             from neurofeedback interventions, which limits clinical
             efficacy of neurofeedback interventions. As neurofeedback
             success varies between studies and participants, it is
             important to identify factors that might influence
             neurofeedback success. Here, for the first time, we employed
             a big data machine learning approach to investigate the
             influence of 20 different design-specific (e.g. activity vs.
             connectivity feedback), region of interest-specific (e.g.
             cortical vs. subcortical) and subject-specific factors (e.g.
             age) on neurofeedback performance and improvement in 608
             participants from 28 independent experiments. With a
             classification accuracy of 60% (considerably different from
             chance level), we identified two factors that significantly
             influenced neurofeedback performance: Both the inclusion of
             a pre-training no-feedback run before neurofeedback training
             and neurofeedback training of patients as compared to
             healthy participants were associated with better
             neurofeedback performance. The positive effect of
             pre-training no-feedback runs on neurofeedback performance
             might be due to the familiarization of participants with the
             neurofeedback setup and the mental imagery task before
             neurofeedback training runs. Better performance of patients
             as compared to healthy participants might be driven by
             higher motivation of patients, higher ranges for the
             regulation of dysfunctional brain signals, or a more
             extensive piloting of clinical experimental paradigms. Due
             to the large heterogeneity of our dataset, these findings
             likely generalize across neurofeedback studies, thus
             providing guidance for designing more efficient
             neurofeedback studies specifically for improving clinical
             neurofeedback-based interventions. To facilitate the
             development of data-driven recommendations for specific
             design details and subpopulations the field would benefit
             from stronger engagement in open science research practices
             and data sharing.},
   Doi = {10.1016/j.neuroimage.2021.118207},
   Key = {fds362016}
}

@article{fds362017,
   Author = {Sinclair, AH and Hakimi, S and Stanley, ML and Adcock, RA and Samanez-Larkin, GR},
   Title = {Pairing facts with imagined consequences improves
             pandemic-related risk perception.},
   Journal = {Proc Natl Acad Sci U S A},
   Volume = {118},
   Number = {32},
   Year = {2021},
   Month = {August},
   url = {http://dx.doi.org/10.1073/pnas.2100970118},
   Abstract = {The COVID-19 pandemic reached staggering new peaks during a
             global resurgence more than a year after the crisis began.
             Although public health guidelines initially helped to slow
             the spread of disease, widespread pandemic fatigue and
             prolonged harm to financial stability and mental well-being
             contributed to this resurgence. In the late stage of the
             pandemic, it became clear that new interventions were needed
             to support long-term behavior change. Here, we examined
             subjective perceived risk about COVID-19 and the
             relationship between perceived risk and engagement in risky
             behaviors. In study 1 (n = 303), we found that subjective
             perceived risk was likely inaccurate but predicted
             compliance with public health guidelines. In study 2 (n =
             735), we developed a multifaceted intervention designed to
             realign perceived risk with actual risk. Participants
             completed an episodic simulation task; we expected that
             imagining a COVID-related scenario would increase the
             salience of risk information and enhance behavior change.
             Immediately following the episodic simulation, participants
             completed a risk estimation task with individualized
             feedback about local viral prevalence. We found that
             information prediction error, a measure of surprise, drove
             beneficial change in perceived risk and willingness to
             engage in risky activities. Imagining a COVID-related
             scenario beforehand enhanced the effect of prediction error
             on learning. Importantly, our intervention produced lasting
             effects that persisted after a 1- to 3-wk delay. Overall, we
             describe a fast and feasible online intervention that
             effectively changed beliefs and intentions about risky
             behaviors.},
   Doi = {10.1073/pnas.2100970118},
   Key = {fds362017}
}

@article{fds362018,
   Author = {Sinclair, AH and Stanley, ML and Hakimi, S and Cabeza, R and Adcock, RA and Samanez-Larkin, GR},
   Title = {Imagining a Personalized Scenario Selectively Increases
             Perceived Risk of Viral Transmission for Older
             Adults.},
   Journal = {Nat Aging},
   Volume = {1},
   Number = {8},
   Pages = {677-683},
   Publisher = {Springer Science and Business Media LLC},
   Year = {2021},
   Month = {August},
   url = {http://dx.doi.org/10.1038/s43587-021-00095-7},
   Abstract = {The COVID-19 pandemic has created a serious and prolonged
             public-health emergency. Older adults have been at
             substantially greater risk of hospitalization, ICU
             admission, and death due to COVID-19; as of February 2021,
             over 81% of COVID-19-related deaths in the U.S. occurred for
             people over the age of 651,2. Converging evidence from
             around the world suggests that age is the greatest risk
             factor for severe COVID-19 illness and for the experience of
             adverse health outcomes3,4. Therefore, effectively
             communicating health-related risk information requires
             tailoring interventions to older adults' needs5. Using a
             novel informational intervention with a nationally-representative
             sample of 546 U.S. residents, we found that older adults
             reported increased perceived risk of COVID-19 transmission
             after imagining a personalized scenario with social
             consequences. Although older adults tended to forget
             numerical information over time, the personalized
             simulations elicited increases in perceived risk that
             persisted over a 1-3 week delay. Overall, our results bear
             broad implications for communicating information about
             health risks to older adults, and they suggest new
             strategies to combat annual influenza outbreaks.},
   Doi = {10.1038/s43587-021-00095-7},
   Key = {fds362018}
}

@article{fds362015,
   Author = {Dickerson, K and Poh, J-H and Hakimi, S and Wright, R and Eom, K and Muzekari, B and Kollins, S and Adcock, RA},
   Title = {Cognitive Neurostimulation of Dopaminergic Midbrain via fMRI
             Neurofeedback Training Increases Willingness to Exert Effort
             in ADHD},
   Journal = {NEUROPSYCHOPHARMACOLOGY},
   Volume = {46},
   Number = {SUPPL 1},
   Pages = {134-134},
   Year = {2021},
   Key = {fds362015}
}

@article{fds352043,
   Author = {Haugg, A and Sladky, R and Skouras, S and McDonald, A and Craddock, C and Kirschner, M and Herdener, M and Koush, Y and Papoutsi, M and Keynan,
             JN and Hendler, T and Cohen Kadosh and K and Zich, C and MacInnes, J and Adcock, RA and Dickerson, K and Chen, N-K and Young, K and Bodurka, J and Yao, S and Becker, B and Auer, T and Schweizer, R and Pamplona, G and Emmert, K and Haller, S and Van De Ville and D and Blefari, M-L and Kim,
             D-Y and Lee, J-H and Marins, T and Fukuda, M and Sorger, B and Kamp, T and Liew, S-L and Veit, R and Spetter, M and Weiskopf, N and Scharnowski,
             F},
   Title = {Can we predict real-time fMRI neurofeedback learning success
             from pretraining brain activity?},
   Journal = {Hum Brain Mapp},
   Volume = {41},
   Number = {14},
   Pages = {3839-3854},
   Year = {2020},
   Month = {October},
   url = {http://dx.doi.org/10.1002/hbm.25089},
   Abstract = {Neurofeedback training has been shown to influence behavior
             in healthy participants as well as to alleviate clinical
             symptoms in neurological, psychosomatic, and psychiatric
             patient populations. However, many real-time fMRI
             neurofeedback studies report large inter-individual
             differences in learning success. The factors that cause this
             vast variability between participants remain unknown and
             their identification could enhance treatment success. Thus,
             here we employed a meta-analytic approach including data
             from 24 different neurofeedback studies with a total of 401
             participants, including 140 patients, to determine whether
             levels of activity in target brain regions during
             pretraining functional localizer or no-feedback runs (i.e.,
             self-regulation in the absence of neurofeedback) could
             predict neurofeedback learning success. We observed a
             slightly positive correlation between pretraining activity
             levels during a functional localizer run and neurofeedback
             learning success, but we were not able to identify common
             brain-based success predictors across our diverse cohort of
             studies. Therefore, advances need to be made in finding
             robust models and measures of general neurofeedback
             learning, and in increasing the current study database to
             allow for investigating further factors that might influence
             neurofeedback learning.},
   Doi = {10.1002/hbm.25089},
   Key = {fds352043}
}

@article{fds352044,
   Author = {Botvinik-Nezer, R and Holzmeister, F and Camerer, CF and Dreber, A and Huber, J and Johannesson, M and Kirchler, M and Iwanir, R and Mumford,
             JA and Adcock, RA and Avesani, P and Baczkowski, BM and Bajracharya, A and Bakst, L and Ball, S and Barilari, M and Bault, N and Beaton, D and Beitner, J and Benoit, RG and Berkers, RMWJ and Bhanji, JP and Biswal,
             BB and Bobadilla-Suarez, S and Bortolini, T and Bottenhorn, KL and Bowring, A and Braem, S and Brooks, HR and Brudner, EG and Calderon, CB and Camilleri, JA and Castrellon, JJ and Cecchetti, L and Cieslik, EC and Cole, ZJ and Collignon, O and Cox, RW and Cunningham, WA and Czoschke,
             S and Dadi, K and Davis, CP and Luca, AD and Delgado, MR and Demetriou, L and Dennison, JB and Di, X and Dickie, EW and Dobryakova, E and Donnat, CL and Dukart, J and Duncan, NW and Durnez, J and Eed, A and Eickhoff, SB and Erhart, A and Fontanesi, L and Fricke, GM and Fu, S and Galván, A and Gau,
             R and Genon, S and Glatard, T and Glerean, E and Goeman, JJ and Golowin,
             SAE and González-García, C and Gorgolewski, KJ and Grady, CL and Green, MA and Guassi Moreira and JF and Guest, O and Hakimi, S and Hamilton, JP and Hancock, R and Handjaras, G and Harry, BB and Hawco, C and Herholz, P and Herman, G and Heunis, S and Hoffstaedter, F and Hogeveen,
             J and Holmes, S and Hu, C-P and Huettel, SA and Hughes, ME and Iacovella,
             V and Iordan, AD and Isager, PM and Isik, AI and Jahn, A and Johnson, MR and Johnstone, T and Joseph, MJE and Juliano, AC and Kable, JW and Kassinopoulos, M and Koba, C and Kong, X-Z and Koscik, TR and Kucukboyaci, NE and Kuhl, BA and Kupek, S and Laird, AR and Lamm, C and Langner, R and Lauharatanahirun, N and Lee, H and Lee, S and Leemans, A and Leo, A and Lesage, E and Li, F and Li, MYC and Lim, PC and Lintz, EN and Liphardt, SW and Losecaat Vermeer and AB and Love, BC and Mack, ML and Malpica, N and Marins, T and Maumet, C and McDonald, K and McGuire, JT and Melero, H and Méndez Leal and AS and Meyer, B and Meyer, KN and Mihai, G and Mitsis, GD and Moll, J and Nielson, DM and Nilsonne, G and Notter, MP and Olivetti, E and Onicas, AI and Papale, P and Patil, KR and Peelle, JE and Pérez, A and Pischedda, D and Poline, J-B and Prystauka, Y and Ray, S and Reuter-Lorenz, PA and Reynolds, RC and Ricciardi, E and Rieck, JR and Rodriguez-Thompson, AM and Romyn, A and Salo, T and Samanez-Larkin,
             GR and Sanz-Morales, E and Schlichting, ML and Schultz, DH and Shen, Q and Sheridan, MA and Silvers, JA and Skagerlund, K and Smith, A and Smith,
             DV and Sokol-Hessner, P and Steinkamp, SR and Tashjian, SM and Thirion,
             B and Thorp, JN and Tinghög, G and Tisdall, L and Tompson, SH and Toro-Serey, C and Torre Tresols and JJ and Tozzi, L and Truong, V and Turella, L and van 't Veer, AE and Verguts, T and Vettel, JM and Vijayarajah, S and Vo, K and Wall, MB and Weeda, WD and Weis, S and White,
             DJ and Wisniewski, D and Xifra-Porxas, A and Yearling, EA and Yoon, S and Yuan, R and Yuen, KSL and Zhang, L and Zhang, X and Zosky, JE and Nichols,
             TE and Poldrack, RA and Schonberg, T},
   Title = {Variability in the analysis of a single neuroimaging dataset
             by many teams.},
   Journal = {Nature},
   Volume = {582},
   Number = {7810},
   Pages = {84-88},
   Year = {2020},
   Month = {June},
   url = {http://dx.doi.org/10.1038/s41586-020-2314-9},
   Abstract = {Data analysis workflows in many scientific domains have
             become increasingly complex and flexible. Here we assess the
             effect of this flexibility on the results of functional
             magnetic resonance imaging by asking 70 independent teams
             to analyse the same dataset, testing the same 9 ex-ante
             hypotheses1. The flexibility of analytical approaches is
             exemplified by the fact that no two teams chose identical
             workflows to analyse the data. This flexibility resulted in
             sizeable variation in the results of hypothesis tests, even
             for teams whose statistical maps were highly correlated at
             intermediate stages of the analysis pipeline. Variation in
             reported results was related to several aspects of analysis
             methodology. Notably, a meta-analytical approach that
             aggregated information across teams yielded a significant
             consensus in activated regions. Furthermore, prediction
             markets of researchers in the field revealed an
             overestimation of the likelihood of significant findings,
             even by researchers with direct knowledge of the dataset2-5.
             Our findings show that analytical flexibility can have
             substantial effects on scientific conclusions, and identify
             factors that may be related to variability in the analysis
             of functional magnetic resonance imaging. The results
             emphasize the importance of validating and sharing complex
             analysis workflows, and demonstrate the need for performing
             and reporting multiple analyses of the same data. Potential
             approaches that could be used to mitigate issues related to
             analytical variability are discussed.},
   Doi = {10.1038/s41586-020-2314-9},
   Key = {fds352044}
}

@article{fds353894,
   Author = {MacInnes, JJ and Adcock, RA and Stocco, A and Prat, CS and Rao, RPN and Dickerson, KC},
   Title = {Pyneal: Open Source Real-Time fMRI Software.},
   Journal = {Front Neurosci},
   Volume = {14},
   Pages = {900},
   Year = {2020},
   url = {http://dx.doi.org/10.3389/fnins.2020.00900},
   Abstract = {Increasingly, neuroimaging researchers are exploring the use
             of real-time functional magnetic resonance imaging (rt-fMRI)
             as a way to access a participant's ongoing brain function
             throughout a scan. This approach presents novel and exciting
             experimental applications ranging from monitoring data
             quality in real time, to delivering neurofeedback from a
             region of interest, to dynamically controlling experimental
             flow, or interfacing with remote devices. Yet, for those
             interested in adopting this method, the existing software
             options are few and limited in application. This presents a
             barrier for new users, as well as hinders existing users
             from refining techniques and methods. Here we introduce a
             free, open-source rt-fMRI package, the Pyneal toolkit,
             designed to address this limitation. The Pyneal toolkit is
             python-based software that offers a flexible and user
             friendly framework for rt-fMRI, is compatible with all three
             major scanner manufacturers (GE, Siemens, Phillips), and,
             critically, allows fully customized analysis pipelines. In
             this article, we provide a detailed overview of the
             architecture, describe how to set up and run the Pyneal
             toolkit during an experimental session, offer tutorials with
             scan data that demonstrate how data flows through the Pyneal
             toolkit with example analyses, and highlight the advantages
             that the Pyneal toolkit offers to the neuroimaging
             community.},
   Doi = {10.3389/fnins.2020.00900},
   Key = {fds353894}
}

@article{fds362019,
   Author = {Hakimi, S and MacInnes, JJ and Dickerson, KC and McDonald, K and Adcock,
             RA},
   Title = {Embedded Temporal Patterns in the Feedback Signal
             Differentially Predict VTA Neurofeedback-Mediated Learning
             to Self-Regulate Motivation},
   Journal = {NEUROPSYCHOPHARMACOLOGY},
   Volume = {45},
   Number = {SUPPL 1},
   Pages = {378-379},
   Year = {2020},
   Key = {fds362019}
}

@article{fds374095,
   Author = {Sinclair, A and Manalili, G and Brunec, I and Adcock, A and Barense,
             M},
   Title = {Prediction Errors Disrupt Hippocampal Representations and
             Update Episodic Memories},
   Year = {2020},
   url = {http://dx.doi.org/10.1101/2020.09.29.319418},
   Abstract = {The brain supports adaptive behavior by generating
             predictions, learning from errors, and updating memories to
             incorporate new information. Prediction error, or surprise,
             triggers learning when reality contradicts expectations.
             Prior studies have shown that the hippocampus signals
             prediction errors, but the hypothesized link to memory
             updating has not been demonstrated. In a human fMRI study,
             we elicited mnemonic prediction errors by interrupting
             familiar narrative videos immediately before the expected
             endings. We found that prediction error reversed the
             relationship between univariate hippocampal activation and
             memory: greater hippocampal activation predicted memory
             preservation after expected endings, but memory updating
             after surprising endings. In contrast to previous studies,
             we showed that univariate activation was insufficient for
             understanding hippocampal prediction error signals. We
             explained this surprising finding by tracking both the
             evolution of hippocampal activation patterns and
             connectivity between the hippocampus and neuromodulatory
             regions. We found that hippocampal activation patterns
             stabilized as each narrative episode unfolded, suggesting
             sustained episodic representations. Prediction errors
             disrupted these sustained representations, and the degree of
             disruption predicted memory updating. The relationship
             between hippocampal activation and subsequent memory
             depended on concurrent basal forebrain activation,
             supporting the idea that cholinergic modulation regulates
             attention and memory. We conclude that prediction errors
             create conditions that favor memory updating, prompting the
             hippocampus to abandon ongoing predictions and make memories
             malleable. <h4>Significance</h4> Our brains draw on memories
             to predict the future; when our predictions are incorrect,
             we must update our memories to improve future predictions.
             Past studies have demonstrated that the hippocampus signals
             prediction error , or surprise, but have not linked this
             neural signal to memory updating. Here, we uncover this
             missing connection: We show that mnemonic prediction errors
             change the role of the hippocampus, reversing the
             relationship between hippocampal activation and memory
             outcomes. We examine the mechanisms of this shift in neural
             processing, showing that prediction errors disrupt the
             temporal continuity of hippocampal patterns. We propose that
             prediction errors disrupt sustained representations and
             enable memory updating. Our findings bear implications for
             improving education, understanding eyewitness memory
             distortion, and treating pathological memories.},
   Doi = {10.1101/2020.09.29.319418},
   Key = {fds374095}
}

@article{fds352045,
   Author = {Ho, NF and Holt, DJ and Cheung, M and Iglesias, JE and Goh, A and Wang, M and Lim, JKW and de Souza, J and Poh, JS and See, YM and Adcock, RA and Wood,
             SJ and Chee, MWL and Lee, J and Zhou, J},
   Title = {Correction: Progressive decline in hippocampal CA1 volume in
             individuals at ultra-high-risk for psychosis who do not
             remit: findings from the longitudinal youth at risk
             study.},
   Journal = {Neuropsychopharmacology},
   Volume = {44},
   Number = {12},
   Pages = {2144},
   Year = {2019},
   Month = {November},
   url = {http://dx.doi.org/10.1038/s41386-019-0477-6},
   Abstract = {An amendment to this paper has been published and can be
             accessed via a link at the top of the paper.},
   Doi = {10.1038/s41386-019-0477-6},
   Key = {fds352045}
}

@article{fds352046,
   Author = {Stanek, JK and Dickerson, KC and Chiew, KS and Clement, NJ and Adcock,
             RA},
   Title = {Expected Reward Value and Reward Uncertainty Have Temporally
             Dissociable Effects on Memory Formation.},
   Journal = {J Cogn Neurosci},
   Volume = {31},
   Number = {10},
   Pages = {1443-1454},
   Year = {2019},
   Month = {October},
   url = {http://dx.doi.org/10.1162/jocn_a_01411},
   Abstract = {Anticipating rewards has been shown to enhance memory
             formation. Although substantial evidence implicates dopamine
             in this behavioral effect, the precise mechanisms remain
             ambiguous. Because dopamine nuclei have been associated with
             two distinct physiological signatures of reward prediction,
             we hypothesized two dissociable effects on memory formation.
             These two signatures are a phasic dopamine response
             immediately following a reward cue that encodes its expected
             value and a sustained, ramping response that has been
             demonstrated during high reward uncertainty [Fiorillo, C.
             D., Tobler, P. N., & Schultz, W. Discrete coding of reward
             probability and uncertainty by dopamine neurons. Science,
             299, 1898-1902, 2003]. Here, we show in humans that the
             impact of reward anticipation on memory for an event depends
             on its timing relative to these physiological signatures. By
             manipulating reward probability (100%, 50%, or 0%) and the
             timing of the event to be encoded (just after the reward cue
             versus just before expected reward outcome), we demonstrated
             the predicted double dissociation: Early during reward
             anticipation, memory formation was improved by increased
             expected reward value, whereas late during reward
             anticipation, memory formation was enhanced by reward
             uncertainty. Notably, although the memory benefits of high
             expected reward in the early interval were consolidation
             dependent, the memory benefits of high uncertainty in the
             later interval were not. These findings support the view
             that expected reward benefits memory consolidation via
             phasic dopamine release. The novel finding of a distinct
             memory enhancement, temporally consistent with sustained
             anticipatory dopamine release, points toward new mechanisms
             of memory modulation by reward now ripe for further
             investigation.},
   Doi = {10.1162/jocn_a_01411},
   Key = {fds352046}
}

@article{fds352047,
   Author = {Erwin, SR and Ng, S and Hakimi, S and Shrestha, S and Silberstein, K and Wright, R and Adcock, RA and Zucker, NL},
   Title = {2.19 HARNESSING PERFECTIONISM: THE ROLE OF EMOTION
             REGULATION AND REWARD EXPERIENCE},
   Journal = {Journal of the American Academy of Child & Adolescent
             Psychiatry},
   Volume = {58},
   Number = {10},
   Pages = {S177-S177},
   Publisher = {Elsevier BV},
   Year = {2019},
   Month = {October},
   url = {http://dx.doi.org/10.1016/j.jaac.2019.08.111},
   Doi = {10.1016/j.jaac.2019.08.111},
   Key = {fds352047}
}

@article{fds352048,
   Author = {Adcock, R and Dickerson, K and MacInnes, J and Adcock,
             RA},
   Title = {144. Cognitive Neurostimulation: Volitional Regulation of
             Ventral Tegmental Area},
   Journal = {Biological Psychiatry},
   Volume = {85},
   Number = {10},
   Pages = {S60-S60},
   Publisher = {Elsevier BV},
   Year = {2019},
   Month = {May},
   url = {http://dx.doi.org/10.1016/j.biopsych.2019.03.158},
   Doi = {10.1016/j.biopsych.2019.03.158},
   Key = {fds352048}
}

@article{fds343624,
   Author = {Duffy, KA and Luber, B and Adcock, RA and Chartrand,
             TL},
   Title = {Enhancing activation in the right temporoparietal junction
             using theta-burst stimulation: Disambiguating between two
             hypotheses of top-down control of behavioral
             mimicry.},
   Journal = {PLoS One},
   Volume = {14},
   Number = {1},
   Pages = {e0211279},
   Year = {2019},
   url = {http://dx.doi.org/10.1371/journal.pone.0211279},
   Abstract = {Whereas previous research has focused on the role of the
             rTPJ when consciously inhibiting mimicry, we test the role
             of the rTPJ on mimicry within a social interaction, during
             which mimicking occurs nonconsciously. We wanted to
             determine whether higher rTPJ activation always inhibits the
             tendency to imitate (regardless of the context) or whether
             it facilitates mimicry during social interactions (when
             mimicking is an adaptive response). Participants received
             either active or sham intermittent theta-burst stimulation
             (iTBS: a type of stimulation that increases cortical
             activation) to the rTPJ. Next, we measured how much
             participants mimicked the hair and face touching of another
             person. Participants in the active stimulation condition
             engaged in significantly less mimicry than those in the sham
             stimulation condition. This finding suggests that even in a
             context in which mimicking is adaptive, rTPJ inhibits
             mimicry rather than facilitating it, supporting the
             hypothesis that rTPJ enhances representations of self over
             other regardless of the goals within a given
             context.},
   Doi = {10.1371/journal.pone.0211279},
   Key = {fds343624}
}

@article{fds340690,
   Author = {Wang, C and Lee, J and Ho, NF and Lim, JKW and Poh, JS and Rekhi, G and Krishnan, R and Keefe, RSE and Adcock, RA and Wood, SJ and Fornito, A and Chee, MWL and Zhou, J},
   Title = {Large-Scale Network Topology Reveals Heterogeneity in
             Individuals With at Risk Mental State for Psychosis:
             Findings From the Longitudinal Youth-at-Risk
             Study.},
   Journal = {Cereb Cortex},
   Volume = {28},
   Number = {12},
   Pages = {4234-4243},
   Year = {2018},
   Month = {December},
   url = {http://dx.doi.org/10.1093/cercor/bhx278},
   Abstract = {Emerging evidence demonstrates heterogeneity in clinical
             outcomes of prodromal psychosis that only a small percentage
             of at-risk individuals eventually progress to full-blown
             psychosis. To examine the neurobiological underpinnings of
             this heterogeneity from a network perspective, we tested
             whether the early patterns of large-scale brain network
             topology were associated with risk of developing clinical
             psychosis. Task-free functional MRI data were acquired from
             subjects with At Risk Mental State (ARMS) for psychosis and
             healthy controls (HC). All individuals had no history of
             drug abuse and were not on antipsychotics. We performed
             functional connectomics analysis to identify patterns of
             system-level functional brain dysconnectivity associated
             with ARMS individuals with different outcomes. In comparison
             to HC and ARMS who did not transition to psychosis at
             follow-up (ARMS-NT), ARMS individuals who did (ARMS-T)
             showed marked brain functional dysconnectivity,
             characterized by loss of network segregation and disruption
             of network communities, especially the salience, default,
             dorsal attention, sensorimotor and limbic networks (P < 0.05
             FWE-corrected, Cohen's d > 1.00), and was associated with
             baseline symptom severity. In contrast, we did not observe
             connectivity differences between ARMS-NT and HC individuals.
             Taken together, these results suggest a possible large-scale
             functional brain network topology phenotype related to risk
             of psychosis transition in ARMS individuals.},
   Doi = {10.1093/cercor/bhx278},
   Key = {fds340690}
}

@article{fds352049,
   Author = {Dickerson, K and MacDuffie, K and MacInnes, J and Eddington, K and Strauman, T and Adcock, RA},
   Title = {Real-Time fMRI as a CBT Adjunct: Predicting the Behavioral
             Impact of Neurofeedback},
   Journal = {NEUROPSYCHOPHARMACOLOGY},
   Volume = {43},
   Pages = {S125-S126},
   Publisher = {NATURE PUBLISHING GROUP},
   Year = {2018},
   Month = {December},
   Key = {fds352049}
}

@article{fds352050,
   Author = {Dickerson, K and MacDuffie, K and MacInnes, J and Eddington, K and Strauman, T and Adcock, RA},
   Title = {T157. Using Real-Time fMRI Neurofeedback as a Tool for
             Demonstrating Therapeutic Efficacy},
   Journal = {Biological Psychiatry},
   Volume = {83},
   Number = {9},
   Pages = {S189-S189},
   Publisher = {Elsevier BV},
   Year = {2018},
   Month = {May},
   url = {http://dx.doi.org/10.1016/j.biopsych.2018.02.494},
   Doi = {10.1016/j.biopsych.2018.02.494},
   Key = {fds352050}
}

@article{fds352051,
   Author = {Liu, S and Lee, J and Tandi, J and Wang, C and Lim, JKW and Ho, N and Poh, J and Alison Adcock and R and Keefe, R and Wood, S and Krishnan, R and Chee, M and Zhou, J},
   Title = {F156. LONGITUDINAL WORKING MEMORY FUNCTIONAL DYSCONNECTIVITY
             REFLECTS HETEROGENEITY IN INDIVIDUALS AT ULTRA HIGH RISK FOR
             PSYCHOSIS},
   Journal = {Schizophrenia Bulletin},
   Volume = {44},
   Number = {suppl_1},
   Pages = {S281-S281},
   Publisher = {Oxford University Press (OUP)},
   Year = {2018},
   Month = {April},
   url = {http://dx.doi.org/10.1093/schbul/sby017.687},
   Doi = {10.1093/schbul/sby017.687},
   Key = {fds352051}
}

@article{fds339377,
   Author = {MacDuffie, KE and MacInnes, J and Dickerson, KC and Eddington, KM and Strauman, TJ and Adcock, RA},
   Title = {Single session real-time fMRI neurofeedback has a lasting
             impact on cognitive behavioral therapy strategies.},
   Journal = {Neuroimage Clin},
   Volume = {19},
   Pages = {868-875},
   Year = {2018},
   url = {http://dx.doi.org/10.1016/j.nicl.2018.06.009},
   Abstract = {To benefit from cognitive behavioral therapy (CBT),
             individuals must not only learn new skills but also
             strategically implement them outside of session. Here, we
             tested a novel technique for personalizing CBT skills and
             facilitating their generalization to daily life. We
             hypothesized that showing participants the impact of
             specific CBT strategies on their own brain function using
             real-time functional magnetic imaging (rt-fMRI)
             neurofeedback would increase their metacognitive awareness,
             help them identify effective strategies, and motivate
             real-world use. In a within-subjects design, participants
             who had completed a clinical trial of a standardized course
             of CBT created a personal repertoire of negative
             autobiographical stimuli and mood regulation strategies.
             From each participant's repertoire, a set of experimental
             and control strategies were identified; only experimental
             strategies were practiced in the scanner. During the rt-fMRI
             neurofeedback session, participants used negative stimuli
             and strategies from their repertoire to manipulate
             activation in the anterior cingulate cortex, a region
             implicated in emotional distress. The primary outcome
             measures were changes in participant ratings of strategy
             difficulty, efficacy, and frequency of use. As predicted,
             ratings for unscanned control strategies were stable across
             observations, whereas ratings for experimental strategies
             changed after neurofeedback. At follow-up one month after
             the session, efficacy and frequency ratings for scanned
             strategies were predicted by neurofeedback during the
             rt-fMRI session. These results suggest that rt-fMRI
             neurofeedback created a salient and durable learning
             experience for patients, extending beyond the scan session
             to guide and motivate CBT skill use weeks later. This
             metacognitive approach to neurofeedback offers a promising
             model for increasing clinical benefits from cognitive
             behavioral therapy by personalizing skills and facilitating
             generalization.},
   Doi = {10.1016/j.nicl.2018.06.009},
   Key = {fds339377}
}

@article{fds343625,
   Author = {Dickerson, K and Adcock, RA},
   Title = {Motivation and Memory},
   Journal = {Stevens' Handbook of Experimental Psychology and Cognitive
             Neuroscience},
   Volume = {1. Learning and Memory},
   Booktitle = {Stevens' Handbook of Experimental Psychology and Cognitive
             Neuroscience, , 5 Volume Set},
   Publisher = {John Wiley & Sons, Inc.},
   Editor = {Phelps, EA and Davachi, L},
   Year = {2018},
   ISBN = {9781119170167},
   url = {http://dx.doi.org/10.1002/9781119170174.epcn107},
   Abstract = {In this chapter we explore how motivation affects what we
             learn and subsequently remember. Our memories are not a
             perfect record of every event in our lives, meticulously
             recorded and replayed precisely whenever we desire. They are
             quite the opposite: Memories are selective, flexible, and
             change over time. Neurobiologically, how a memory is encoded
             in our brains and later consolidated is influenced by our
             motivational state. Here we first review foundational
             research on motivation and describe how it affects learning
             and memory. We then describe exciting discoveries emerging
             within the past decade demonstrating that different
             motivational states engage distinct neuroanatomical
             networks, which modulate the shape and form of memory. In
             the conclusion of this chapter we note opportunities to
             leverage human motivation and tailor what we learn to help
             us adapt and grow, with profound implications for education
             and clinical treatments.},
   Doi = {10.1002/9781119170174.epcn107},
   Key = {fds343625}
}

@article{fds343626,
   Author = {Horne, AJ and Chiew, KS and Zhuang, J and George, LK and Adcock, RA and Potter, GG and Lad, EM and Cousins, SW and Lin, FR and Mamo, SK and Chen,
             N-K and Maciejewski, AJ and Duong Fernandez and X and Whitson,
             HE},
   Title = {Relating Sensory, Cognitive, and Neural Factors to Older
             Persons' Perceptions about Happiness: An Exploratory
             Study.},
   Journal = {J Aging Res},
   Volume = {2018},
   Pages = {4930385},
   Year = {2018},
   url = {http://dx.doi.org/10.1155/2018/4930385},
   Abstract = {Despite increased rates of disease, disability, and social
             losses with aging, seniors consistently report higher levels
             of subjective well-being (SWB), a construct closely related
             to happiness, than younger adults. In this exploratory
             study, we utilized an available dataset to investigate how
             aspects of health commonly deteriorating with age, including
             sensory (i.e., vision and hearing) and cognitive status,
             relate to variability in self-described contributors to
             happiness. Community-dwelling seniors (n = 114) responded to
             a single-item prompt: "name things that make people happy."
             1731 responses were categorized into 13 domains of SWB via
             structured content analysis. Sensory health and cognition
             were assessed by Snellen visual acuity, pure-tone
             audiometry, and in-person administration of the Brief Test
             of Adult Cognition by Telephone (BTACT) battery. A subset of
             eligible participants (n = 57) underwent functional magnetic
             resonance imaging (fMRI) to assess resting state functional
             connectivity (FC) within a previously described dopaminergic
             network associated with reward processing. SWB response
             patterns were relatively stable across gender, sensory
             status, and cognitive performance with few exceptions. For
             example, hearing-impaired participants listed fewer
             determinants of SWB (13.59 vs. 17.16; p < 0.001) and were
             less likely to name things in the "special events" category.
             Participants with a higher proportion of responses in the
             "accomplishments" domain (e.g., winning, getting good
             grades) demonstrated increased FC between the ventral
             tegmental area and nucleus accumbens, regions implicated in
             reward and motivated behavior. While the framework for
             determinants of happiness among seniors was largely stable
             across the factors assessed here, our findings suggest that
             subtle changes in this construct may be linked to sensory
             loss. The possibility that perceptions about determinants of
             happiness might relate to differences in intrinsic
             connectivity within reward-related brain networks also
             warrants further investigation.},
   Doi = {10.1155/2018/4930385},
   Key = {fds343626}
}

@article{fds341288,
   Author = {Chiew, KS and Hashemi, J and Gans, LK and Lerebours, L and Clement, NJ and Vu, M-AT and Sapiro, G and Heller, NE and Adcock,
             RA},
   Title = {Motivational valence alters memory formation without
             altering exploration of a real-life spatial
             environment.},
   Journal = {PLoS One},
   Volume = {13},
   Number = {3},
   Pages = {e0193506},
   Year = {2018},
   url = {http://dx.doi.org/10.1371/journal.pone.0193506},
   Abstract = {Volitional exploration and learning are key to adaptive
             behavior, yet their characterization remains a complex
             problem for cognitive science. Exploration has been posited
             as a mechanism by which motivation promotes memory, but this
             relationship is not well-understood, in part because novel
             stimuli that motivate exploration also reliably elicit
             changes in neuromodulatory brain systems that directly alter
             memory formation, via effects on neural plasticity. To
             deconfound interrelationships between motivation,
             exploration, and memory formation we manipulated
             motivational state prior to entering a spatial context,
             measured exploratory responses to the context and novel
             stimuli within it, and then examined motivation and
             exploration as predictors of memory outcomes. To elicit
             spontaneous exploration, we used the physical space of an
             art exhibit with affectively rich content; we expected
             motivated exploration and memory to reflect multiple
             factors, including not only motivational valence, but also
             individual differences. Motivation was manipulated via an
             introductory statement framing exhibit themes in terms of
             Promotion- or Prevention-oriented goals. Participants
             explored the exhibit while being tracked by video. They
             returned 24 hours later for recall and spatial memory tests,
             followed by measures of motivation, personality, and
             relevant attitude variables. Promotion and Prevention
             condition participants did not differ in terms of
             group-level exploration time or memory metrics, suggesting
             similar motivation to explore under both framing contexts.
             However, exploratory behavior and memory outcomes were
             significantly more closely related under Promotion than
             Prevention, indicating that Prevention framing disrupted
             expected depth-of-encoding effects. Additionally, while
             trait measures predicted exploration similarly across
             framing conditions, traits interacted with motivational
             framing context and facial affect to predict memory
             outcomes. This novel characterization of motivated learning
             implies that dissociable behavioral and biological
             mechanisms, here varying as a function of valence,
             contribute to memory outcomes in complex, real-life
             environments.},
   Doi = {10.1371/journal.pone.0193506},
   Key = {fds341288}
}

@article{fds319596,
   Author = {Scult, MA and Knodt, AR and Hanson, JL and Ryoo, M and Adcock, RA and Hariri, AR and Strauman, TJ},
   Title = {Individual differences in regulatory focus predict neural
             response to reward.},
   Journal = {Soc Neurosci},
   Volume = {12},
   Number = {4},
   Pages = {419-429},
   Year = {2017},
   Month = {August},
   url = {http://dx.doi.org/10.1080/17470919.2016.1178170},
   Abstract = {Although goal pursuit is related to both functioning of the
             brain's reward circuits and psychological factors, the
             literatures surrounding these concepts have often been
             separate. Here, we use the psychological construct of
             regulatory focus to investigate individual differences in
             neural response to reward. Regulatory focus theory proposes
             two motivational orientations for personal goal pursuit: (1)
             promotion, associated with sensitivity to potential gain,
             and (2) prevention, associated with sensitivity to potential
             loss. The monetary incentive delay task was used to
             manipulate reward circuit function, along with instructional
             framing corresponding to promotion and prevention in a
             within-subject design. We observed that the more promotion
             oriented an individual was, the lower their ventral striatum
             response to gain cues. Follow-up analyses revealed that
             greater promotion orientation was associated with decreased
             ventral striatum response even to no-value cues, suggesting
             that promotion orientation may be associated with relatively
             hypoactive reward system function. The findings are also
             likely to represent an interaction between the cognitive and
             motivational characteristics of the promotion system with
             the task demands. Prevention orientation did not correlate
             with ventral striatum response to gain cues, supporting the
             discriminant validity of regulatory focus theory. The
             results highlight a dynamic association between individual
             differences in self-regulation and reward system
             function.},
   Doi = {10.1080/17470919.2016.1178170},
   Key = {fds319596}
}

@article{fds343627,
   Author = {Ho, NF and Holt, DJ and Cheung, M and Iglesias, JE and Goh, A and Wang, M and Lim, JK and de Souza, J and Poh, JS and See, YM and Adcock, AR and Wood,
             SJ and Chee, MW and Lee, J and Zhou, J},
   Title = {Progressive Decline in Hippocampal CA1 Volume in Individuals
             at Ultra-High-Risk for Psychosis Who Do Not Remit: Findings
             from the Longitudinal Youth at Risk Study.},
   Journal = {Neuropsychopharmacology},
   Volume = {42},
   Number = {6},
   Pages = {1361-1370},
   Year = {2017},
   Month = {May},
   url = {http://dx.doi.org/10.1038/npp.2017.5},
   Abstract = {Most individuals identified as ultra-high-risk (UHR) for
             psychosis do not develop frank psychosis. They continue to
             exhibit subthreshold symptoms, or go on to fully remit.
             Prior work has shown that the volume of CA1, a subfield of
             the hippocampus, is selectively reduced in the early stages
             of schizophrenia. Here we aimed to determine whether
             patterns of volume change of CA1 are different in UHR
             individuals who do or do not achieve symptomatic remission.
             Structural MRI scans were acquired at baseline and at 1-2
             follow-up time points (at 12-month intervals) from 147 UHR
             and healthy control subjects. An automated method (based on
             an ex vivo atlas of ultra-high-resolution hippocampal
             tissue) was used to delineate the hippocampal subfields.
             Over time, a greater decline in bilateral CA1 subfield
             volumes was found in the subgroup of UHR subjects whose
             subthreshold symptoms persisted (n=40) and also those who
             developed clinical psychosis (n=12), compared with UHR
             subjects who remitted (n=41) and healthy controls (n=54). No
             baseline differences in volumes of the overall hippocampus
             or its subfields were found among the groups. Moreover, the
             rate of volume decline of CA1, but not of other hippocampal
             subfields, in the non-remitters was associated with
             increasing symptom severity over time. Thus, these findings
             indicate that there is deterioration of CA1 volume in
             persistently symptomatic UHR individuals in proportion to
             symptomatic progression.},
   Doi = {10.1038/npp.2017.5},
   Key = {fds343627}
}

@article{fds310030,
   Author = {Murty, VP and Ballard, IC and Adcock, RA},
   Title = {Hippocampus and Prefrontal Cortex Predict Distinct
             Timescales of Activation in the Human Ventral Tegmental
             Area.},
   Journal = {Cereb Cortex},
   Volume = {27},
   Number = {2},
   Pages = {1660-1669},
   Year = {2017},
   Month = {February},
   ISSN = {1047-3211},
   url = {http://dx.doi.org/10.1093/cercor/bhw005},
   Abstract = {The mesolimbic dopamine system contributes to a remarkable
             variety of behaviors at multiple timescales. Midbrain
             neurons have fast and slow signaling components, and
             specific afferent systems, such as the hippocampus (HPC) and
             prefrontal cortex (PFC), have been demonstrated to drive
             these components in anesthetized animals. Whether these
             interactions exist during behavior, however, is unknown. To
             address this question, we developed a novel analysis of
             human functional magnetic resonance imaging data that fits
             models of network excitation and inhibition on ventral
             tegmental area (VTA) activation. We show that specific
             afferent systems predict distinct temporal components of
             midbrain VTA signal. We found that PFC, but not HPC,
             positively predicted transient, event-evoked VTA activation.
             In contrast, HPC, but not PFC, positively predicted slow
             shifts in VTA baseline variability. Thus, unique functional
             contributions of afferent systems to VTA physiology are
             detectable at the network level in behaving humans. The
             findings support models of dopamine function in which
             dissociable neural circuits support different aspects of
             motivated behavior via active regulation of tonic and phasic
             signals.},
   Doi = {10.1093/cercor/bhw005},
   Key = {fds310030}
}

@article{fds340608,
   Author = {Murty, VP and Tompary, A and Adcock, RA and Davachi,
             L},
   Title = {Selectivity in Postencoding Connectivity with High-Level
             Visual Cortex Is Associated with Reward-Motivated
             Memory.},
   Journal = {J Neurosci},
   Volume = {37},
   Number = {3},
   Pages = {537-545},
   Year = {2017},
   Month = {January},
   url = {http://dx.doi.org/10.1523/JNEUROSCI.4032-15.2016},
   Abstract = {UNLABELLED: Reward motivation has been demonstrated to
             enhance declarative memory by facilitating systems-level
             consolidation. Although high-reward information is often
             intermixed with lower reward information during an
             experience, memory for high value information is
             prioritized. How is this selectivity achieved? One
             possibility is that postencoding consolidation processes
             bias memory strengthening to those representations
             associated with higher reward. To test this hypothesis, we
             investigated the influence of differential reward motivation
             on the selectivity of postencoding markers of systems-level
             memory consolidation. Human participants encoded intermixed,
             trial-unique memoranda that were associated with either high
             or low-value during fMRI acquisition. Encoding was
             interleaved with periods of rest, allowing us to investigate
             experience-dependent changes in connectivity as they related
             to later memory. Behaviorally, we found that reward
             motivation enhanced 24 h associative memory. Analysis of
             patterns of postencoding connectivity showed that, even
             though learning trials were intermixed, there was
             significantly greater connectivity with regions of
             high-level, category-selective visual cortex associated with
             high-reward trials. Specifically, increased connectivity of
             category-selective visual cortex with both the VTA and the
             anterior hippocampus predicted associative memory for high-
             but not low-reward memories. Critically, these results were
             independent of encoding-related connectivity and univariate
             activity measures. Thus, these findings support a model by
             which the selective stabilization of memories for salient
             events is supported by postencoding interactions with
             sensory cortex associated with reward. SIGNIFICANCE
             STATEMENT: Reward motivation is thought to promote memory by
             supporting memory consolidation. Yet, little is known as to
             how brain selects relevant information for subsequent
             consolidation based on reward. We show that
             experience-dependent changes in connectivity of both the
             anterior hippocampus and the VTA with high-level visual
             cortex selectively predicts memory for high-reward memoranda
             at a 24 h delay. These findings provide evidence for a novel
             mechanism guiding the consolidation of memories for valuable
             events, namely, postencoding interactions between neural
             systems supporting mesolimbic dopamine activation, episodic
             memory, and perception.},
   Doi = {10.1523/JNEUROSCI.4032-15.2016},
   Key = {fds340608}
}

@article{fds322744,
   Author = {Murty, VP and Tompary, A and Adcock, RA and Davachi,
             L},
   Title = {Selectivity in post-encoding connectivity with high-level
             visual cortex is associated with reward-motivated
             memory.},
   Journal = {J Neurosci},
   Year = {2016},
   Month = {December},
   url = {http://dx.doi.org/10.1523/JNEUROSCI.4032-15.2016},
   Abstract = {Reward motivation has been demonstrated to enhance
             declarative memory by facilitating systems level
             consolidation. While high reward information is often
             intermixed with lower reward information during an
             experience, memory for those experiences prioritizes high
             value information. How is this selectivity achieved? One
             possibility is that post-encoding consolidation processes
             bias memory strengthening to those representations
             associated with higher reward. To test this hypothesis, we
             investigated the influence of differential reward motivation
             on the selectivity of post-encoding markers of systems-level
             memory consolidation. Human participants encoded intermixed,
             trial-unique memoranda that were associated with either high
             or low value during fMRI acquisition. Encoding was
             interleaved with periods of rest, allowing us to investigate
             experience-dependent changes in connectivity as they related
             to later memory. Behaviorally, we found that reward
             motivation enhanced 24-hour associative memory. Analysis of
             patterns of post-encoding connectivity showed that even
             though learning trials were intermixed, there was
             significantly greater connectivity with regions of
             high-level, category-selective visual cortex associated with
             high reward trials. Specifically, increased connectivity of
             category-selective visual cortex with both the ventral
             tegmental area and the anterior hippocampus predicted
             associative memory for high- but not low-reward memories.
             Critically, these results were independent of
             encoding-related connectivity and univariate activity
             measures. Thus, these findings support a model by which the
             selective stabilization of memories for salient events is
             supported by post-encoding interactions with sensory cortex
             associated with reward. SIGNIFICANCE STATEMENT: Reward
             motivation is thought to promote memory by supporting memory
             consolidation. Yet, little is known as to how brain selects
             relevant information for subsequent consolidation based on
             reward. We show that experience-dependent changes in
             connectivity of both the anterior hippocampus and the
             ventral tegmental area with high-level visual cortex
             selectively predicts memory for high-reward memoranda at a
             24-hour delay. These findings provide evidence for a novel
             mechanism guiding the consolidation of memories for valuable
             events, namely post-encoding interactions between neural
             systems supporting mesolimbic dopamine activation, episodic
             memory, and perception.},
   Doi = {10.1523/JNEUROSCI.4032-15.2016},
   Key = {fds322744}
}

@article{fds352052,
   Author = {Dickerson, K and MacInnes, J and Chen, N-K and Adcock,
             RA},
   Title = {Cognitive Neurostimulation of the Dopamine
             System},
   Journal = {NEUROPSYCHOPHARMACOLOGY},
   Volume = {41},
   Pages = {S500-S501},
   Publisher = {NATURE PUBLISHING GROUP},
   Year = {2016},
   Month = {December},
   Key = {fds352052}
}

@article{fds319595,
   Author = {Wang, C and Ji, F and Hong, Z and Poh, JS and Krishnan, R and Lee, J and Rekhi, G and Keefe, RSE and Adcock, RA and Wood, SJ and Fornito, A and Pasternak, O and Chee, MWL and Zhou, J},
   Title = {Disrupted salience network functional connectivity and
             white-matter microstructure in persons at risk for
             psychosis: findings from the LYRIKS study.},
   Journal = {Psychol Med},
   Volume = {46},
   Number = {13},
   Pages = {2771-2783},
   Year = {2016},
   Month = {October},
   url = {http://dx.doi.org/10.1017/S0033291716001410},
   Abstract = {BACKGROUND: Salience network (SN) dysconnectivity has been
             hypothesized to contribute to schizophrenia. Nevertheless,
             little is known about the functional and structural
             dysconnectivity of SN in subjects at risk for psychosis. We
             hypothesized that SN functional and structural connectivity
             would be disrupted in subjects with At-Risk Mental State
             (ARMS) and would be associated with symptom severity and
             disease progression. METHOD: We examined 87 ARMS and 37
             healthy participants using both resting-state functional
             magnetic resonance imaging and diffusion tensor imaging.
             Group differences in SN functional and structural
             connectivity were examined using a seed-based approach and
             tract-based spatial statistics. Subject-level functional
             connectivity measures and diffusion indices of disrupted
             regions were correlated with CAARMS scores and compared
             between ARMS with and without transition to psychosis.
             RESULTS: ARMS subjects exhibited reduced functional
             connectivity between the left ventral anterior insula and
             other SN regions. Reduced fractional anisotropy (FA) and
             axial diffusivity were also found along white-matter tracts
             in close proximity to regions of disrupted functional
             connectivity, including frontal-striatal-thalamic circuits
             and the cingulum. FA measures extracted from these disrupted
             white-matter regions correlated with individual symptom
             severity in the ARMS group. Furthermore, functional
             connectivity between the bilateral insula and FA at the
             forceps minor were further reduced in subjects who
             transitioned to psychosis after 2 years. CONCLUSIONS: Our
             findings support the insular dysconnectivity of the proximal
             SN hypothesis in the early stages of psychosis. Further
             developed, the combined structural and functional SN assays
             may inform the prognosis of persons at-risk for
             psychosis.},
   Doi = {10.1017/S0033291716001410},
   Key = {fds319595}
}

@article{fds311784,
   Author = {Murty, VP and LaBar, KS and Adcock, RA},
   Title = {Distinct medial temporal networks encode surprise during
             motivation by reward versus punishment.},
   Journal = {Neurobiol Learn Mem},
   Volume = {134 Pt A},
   Number = {Pt A},
   Pages = {55-64},
   Year = {2016},
   Month = {October},
   ISSN = {1074-7427},
   url = {http://dx.doi.org/10.1016/j.nlm.2016.01.018},
   Abstract = {Adaptive motivated behavior requires predictive internal
             representations of the environment, and surprising events
             are indications for encoding new representations of the
             environment. The medial temporal lobe memory system,
             including the hippocampus and surrounding cortex, encodes
             surprising events and is influenced by motivational state.
             Because behavior reflects the goals of an individual, we
             investigated whether motivational valence (i.e., pursuing
             rewards versus avoiding punishments) also impacts neural and
             mnemonic encoding of surprising events. During functional
             magnetic resonance imaging (fMRI), participants encountered
             perceptually unexpected events either during the pursuit of
             rewards or avoidance of punishments. Despite similar levels
             of motivation across groups, reward and punishment
             facilitated the processing of surprising events in different
             medial temporal lobe regions. Whereas during reward
             motivation, perceptual surprises enhanced activation in the
             hippocampus, during punishment motivation surprises instead
             enhanced activation in parahippocampal cortex. Further, we
             found that reward motivation facilitated hippocampal
             coupling with ventromedial PFC, whereas punishment
             motivation facilitated parahippocampal cortical coupling
             with orbitofrontal cortex. Behaviorally, post-scan testing
             revealed that reward, but not punishment, motivation
             resulted in greater memory selectivity for surprising events
             encountered during goal pursuit. Together these findings
             demonstrate that neuromodulatory systems engaged by
             anticipation of reward and punishment target separate
             components of the medial temporal lobe, modulating medial
             temporal lobe sensitivity and connectivity. Thus, reward and
             punishment motivation yield distinct neural contexts for
             learning, with distinct consequences for how surprises are
             incorporated into predictive mnemonic models of the
             environment.},
   Doi = {10.1016/j.nlm.2016.01.018},
   Key = {fds311784}
}

@article{fds311783,
   Author = {MacInnes, JJ and Dickerson, KC and Chen, N-K and Adcock,
             RA},
   Title = {Cognitive Neurostimulation: Learning to Volitionally Sustain
             Ventral Tegmental Area Activation.},
   Journal = {Neuron},
   Volume = {89},
   Number = {6},
   Pages = {1331-1342},
   Publisher = {Elsevier (Cell Press)},
   Year = {2016},
   Month = {March},
   ISSN = {0896-6273},
   url = {http://dx.doi.org/10.1016/j.neuron.2016.02.002},
   Abstract = {Activation of the ventral tegmental area (VTA) and
             mesolimbic networks is essential to motivation, performance,
             and learning. Humans routinely attempt to motivate
             themselves, with unclear efficacy or impact on VTA networks.
             Using fMRI, we found untrained participants' motivational
             strategies failed to consistently activate VTA. After
             real-time VTA neurofeedback training, however, participants
             volitionally induced VTA activation without external aids,
             relative to baseline, Pre-test, and control groups. VTA
             self-activation was accompanied by increased mesolimbic
             network connectivity. Among two comparison groups (no
             neurofeedback, false neurofeedback) and an alternate
             neurofeedback group (nucleus accumbens), none sustained
             activation in target regions of interest nor increased VTA
             functional connectivity. The results comprise two novel
             demonstrations: learning and generalization after VTA
             neurofeedback training and the ability to sustain VTA
             activation without external reward or reward cues. These
             findings suggest theoretical alignment of ideas about
             motivation and midbrain physiology and the potential for
             generalizable interventions to improve performance and
             learning.},
   Doi = {10.1016/j.neuron.2016.02.002},
   Key = {fds311783}
}

@article{fds300278,
   Author = {McClernon, FJ and Conklin, CA and Kozink, RV and Adcock, RA and Sweitzer, MM and Addicott, MA and Chou, Y-H and Chen, N-K and Hallyburton, MB and DeVito, AM},
   Title = {Hippocampal and Insular Response to Smoking-Related
             Environments: Neuroimaging Evidence for Drug-Context Effects
             in Nicotine Dependence.},
   Journal = {Neuropsychopharmacology},
   Volume = {41},
   Number = {3},
   Pages = {877-885},
   Year = {2016},
   Month = {February},
   ISSN = {0893-133X},
   url = {http://dx.doi.org/10.1038/npp.2015.214},
   Abstract = {Environments associated with prior drug use provoke craving
             and drug taking, and set the stage for lapse/relapse.
             Although the neurobehavioral bases of environment-induced
             drug taking have been investigated with animal models, the
             influence of drug-environments on brain function and
             behavior in clinical populations of substance users is
             largely unexplored. Adult smokers (n=40) photographed
             locations personally associated with smoking (personal
             smoking environments; PSEs) or personal nonsmoking
             environment (PNEs). Following 24-h abstinence, participants
             underwent fMRI scanning while viewing PSEs, PNEs, standard
             smoking and nonsmoking environments, as well as proximal
             smoking (eg, lit cigarette) and nonsmoking (eg, pencil)
             cues. Finally, in two separate sessions following 6-h
             abstinence they viewed either PSEs or PNEs while cue-induced
             self-reported craving and smoking behavior were assessed.
             Viewing PSEs increased blood oxygen level-dependent signal
             in right posterior hippocampus (pHPC; F(2,685)=3.74,
             p<0.024) and bilateral insula (left: F(2,685)=6.87,
             p=0.0011; right: F(2,685)=5.34, p=0.005). In the laboratory,
             viewing PSEs, compared with PNEs, was associated with higher
             craving levels (F(2,180)=18.32, p<0.0001) and greater ad lib
             smoking (F(1,36)=5.01, p=0.032). The effect of PSEs (minus
             PNEs) on brain activation in right insula was positively
             correlated with the effect of PSEs (minus PNEs) on number of
             puffs taken from a cigarette (r=0.6, p=0.001). Our data, for
             the first time in humans, elucidates the neural mechanisms
             that mediate the effects of real-world drug-associated
             environments on drug taking behavior under conditions of
             drug abstinence. These findings establish targets for the
             development and evaluation of treatments seeking to reduce
             environment provoked relapse.},
   Doi = {10.1038/npp.2015.214},
   Key = {fds300278}
}

@article{fds322745,
   Author = {Chiew, KS and Stanek, JK and Adcock, RA},
   Title = {Reward Anticipation Dynamics during Cognitive Control and
             Episodic Encoding: Implications for Dopamine.},
   Journal = {Front Hum Neurosci},
   Volume = {10},
   Pages = {555},
   Year = {2016},
   url = {http://dx.doi.org/10.3389/fnhum.2016.00555},
   Abstract = {Dopamine (DA) modulatory activity critically supports
             motivated behavior. This modulation operates at multiple
             timescales, but the functional roles of these distinct
             dynamics on cognition are still being characterized. Reward
             processing has been robustly linked to DA activity; thus,
             examining behavioral effects of reward anticipation at
             different timing intervals, corresponding to different
             putative dopaminergic dynamics, may help in characterizing
             the functional role of these dynamics. Towards this end, we
             present two research studies investigating reward motivation
             effects on cognitive control and episodic memory, converging
             in their manipulation of rapid vs. multi-second reward
             anticipation (consistent with timing profiles of phasic vs.
             ramping DA, respectively) on performance. Under prolonged
             reward anticipation, both control and memory performances
             were enhanced, specifically when combined with other
             experimental factors: task-informative cues (control task)
             and reward uncertainty (memory task). Given observations of
             ramping DA under uncertainty (Fiorillo et al., 2003) and
             arguments that uncertainty may act as a control signal
             increasing environmental monitoring (Mushtaq et al., 2011),
             we suggest that task information and reward uncertainty can
             both serve as "need for control" signals that facilitate
             learning via enhanced monitoring, and that this activity may
             be supported by a ramping profile of dopaminergic activity.
             Observations of rapid (i.e., phasic) reward on control and
             memory performance can be interpreted in line with prior
             evidence, but review indicates that contributions of
             different dopaminergic timescales in these processes are not
             well-understood. Future experimental work to clarify these
             dynamics and characterize a cross-domain role for reward
             motivation and DA in goal-directed behavior is
             suggested.},
   Doi = {10.3389/fnhum.2016.00555},
   Key = {fds322745}
}

@article{fds300279,
   Author = {Klauser, P and Zhou, J and Lim, JKW and Poh, JS and Zheng, H and Tng, HY and Krishnan, R and Lee, J and Keefe, RSE and Adcock, RA and Wood, SJ and Fornito, A and Chee, MWL},
   Title = {Lack of Evidence for Regional Brain Volume or Cortical
             Thickness Abnormalities in Youths at Clinical High Risk for
             Psychosis: Findings From the Longitudinal Youth at Risk
             Study.},
   Journal = {Schizophr Bull},
   Volume = {41},
   Number = {6},
   Pages = {1285-1293},
   Year = {2015},
   Month = {November},
   ISSN = {0586-7614},
   url = {http://dx.doi.org/10.1093/schbul/sbv012},
   Abstract = {There is cumulative evidence that young people in an
             "at-risk mental state" (ARMS) for psychosis show structural
             brain abnormalities in frontolimbic areas, comparable to,
             but less extensive than those reported in established
             schizophrenia. However, most available data come from ARMS
             samples from Australia, Europe, and North America while
             large studies from other populations are missing. We
             conducted a structural brain magnetic resonance imaging
             study from a relatively large sample of 69 ARMS individuals
             and 32 matched healthy controls (HC) recruited from
             Singapore as part of the Longitudinal Youth At-Risk Study
             (LYRIKS). We used 2 complementary approaches: a voxel-based
             morphometry and a surface-based morphometry analysis to
             extract regional gray and white matter volumes (GMV and WMV)
             and cortical thickness (CT). At the whole-brain level, we
             did not find any statistically significant difference
             between ARMS and HC groups concerning total GMV and WMV or
             regional GMV, WMV, and CT. The additional comparison of 2
             regions of interest, hippocampal, and ventricular volumes,
             did not return any significant difference either. Several
             characteristics of the LYRIKS sample like Asian origins or
             the absence of current illicit drug use could explain, alone
             or in conjunction, the negative findings and suggest that
             there may be no dramatic volumetric or CT abnormalities in
             ARMS.},
   Doi = {10.1093/schbul/sbv012},
   Key = {fds300279}
}

@article{fds270237,
   Author = {Murty, VP and Shermohammed, M and Smith, DV and Carter, RM and Huettel,
             SA and Adcock, RA},
   Title = {Resting state networks distinguish human ventral tegmental
             area from substantia nigra.},
   Journal = {Neuroimage},
   Volume = {100},
   Pages = {580-589},
   Year = {2014},
   Month = {October},
   ISSN = {1053-8119},
   url = {http://dx.doi.org/10.1016/j.neuroimage.2014.06.047},
   Abstract = {Dopaminergic networks modulate neural processing across a
             spectrum of function from perception to learning to action.
             Multiple organizational schemes based on anatomy and
             function have been proposed for dopaminergic nuclei in the
             midbrain. One schema originating in rodent models delineated
             ventral tegmental area (VTA), implicated in complex
             behaviors like addiction, from more lateral substantia nigra
             (SN), preferentially implicated in movement. However,
             because anatomy and function in rodent midbrain differs from
             the primate midbrain in important ways, the utility of this
             distinction for human neuroscience has been questioned. We
             asked whether functional definition of networks within the
             human dopaminergic midbrain would recapitulate this
             traditional anatomical topology. We first developed a method
             for reliably defining SN and VTA in humans at conventional
             MRI resolution. Hand-drawn VTA and SN regions-of-interest
             (ROIs) were constructed for 50 participants, using
             individually-localized anatomical landmarks and signal
             intensity. Individual segmentation was used in seed-based
             functional connectivity analysis of resting-state functional
             MRI data; results of this analysis recapitulated traditional
             anatomical targets of the VTA versus SN. Next, we
             constructed a probabilistic atlas of the VTA, SN, and the
             dopaminergic midbrain region (comprised of SN plus VTA) from
             individual hand-drawn ROIs. The combined probabilistic (SN
             plus VTA) ROI was then used for connectivity-based
             dual-regression analysis in two independent resting-state
             datasets (n = 69 and n = 79). Results of the
             connectivity-based, dual-regression functional segmentation
             recapitulated results of the anatomical segmentation,
             validating the utility of this probabilistic atlas for
             future research.},
   Doi = {10.1016/j.neuroimage.2014.06.047},
   Key = {fds270237}
}

@article{fds270252,
   Author = {Murty, VP and Adcock, RA},
   Title = {Enriched encoding: reward motivation organizes cortical
             networks for hippocampal detection of unexpected
             events.},
   Journal = {Cereb Cortex},
   Volume = {24},
   Number = {8},
   Pages = {2160-2168},
   Year = {2014},
   Month = {August},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/23529005},
   Abstract = {Learning how to obtain rewards requires learning about their
             contexts and likely causes. How do long-term memory
             mechanisms balance the need to represent potential
             determinants of reward outcomes with the computational
             burden of an over-inclusive memory? One solution would be to
             enhance memory for salient events that occur during reward
             anticipation, because all such events are potential
             determinants of reward. We tested whether reward motivation
             enhances encoding of salient events like expectancy
             violations. During functional magnetic resonance imaging,
             participants performed a reaction-time task in which
             goal-irrelevant expectancy violations were encountered
             during states of high- or low-reward motivation. Motivation
             amplified hippocampal activation to and declarative memory
             for expectancy violations. Connectivity of the ventral
             tegmental area (VTA) with medial prefrontal, ventrolateral
             prefrontal, and visual cortices preceded and predicted this
             increase in hippocampal sensitivity. These findings
             elucidate a novel mechanism whereby reward motivation can
             enhance hippocampus-dependent memory: anticipatory
             VTA-cortical-hippocampal interactions. Further, the findings
             integrate literatures on dopaminergic neuromodulation of
             prefrontal function and hippocampus-dependent memory. We
             conclude that during reward motivation, VTA modulation
             induces distributed neural changes that amplify hippocampal
             signals and records of expectancy violations to improve
             predictions-a potentially unique contribution of the
             hippocampus to reward learning.},
   Doi = {10.1093/cercor/bht063},
   Key = {fds270252}
}

@article{fds270241,
   Author = {Kollins, SH and Adcock, RA},
   Title = {ADHD, altered dopamine neurotransmission, and disrupted
             reinforcement processes: implications for smoking and
             nicotine dependence.},
   Journal = {Prog Neuropsychopharmacol Biol Psychiatry},
   Volume = {52},
   Pages = {70-78},
   Year = {2014},
   Month = {July},
   ISSN = {0278-5846},
   url = {http://dx.doi.org/10.1016/j.pnpbp.2014.02.002},
   Abstract = {Attention deficit hyperactivity disorder (ADHD) is a common
             and impairing disorder affecting millions of children,
             adolescents, and adults. Individuals with ADHD smoke
             cigarettes at rates significantly higher than their
             non-diagnosed peers and the disorder also confers risk for a
             number of related adverse smoking outcomes including earlier
             age of initiation, faster progression to regular use,
             heavier smoking/greater dependence, and more difficulty
             quitting. Progress in our understanding of dopamine
             neurotransmission and basic behavioral reinforcement
             processes in ADHD may help increase our understanding of the
             ADHD-smoking comorbidity. This review will examine how these
             areas have been studied and how further work may aid in the
             development of better prevention and treatment for smoking
             in those with ADHD.},
   Doi = {10.1016/j.pnpbp.2014.02.002},
   Key = {fds270241}
}

@article{fds270238,
   Author = {Dandash, O and Fornito, A and Lee, J and Keefe, RSE and Chee, MWL and Adcock, RA and Pantelis, C and Wood, SJ and Harrison,
             BJ},
   Title = {Altered striatal functional connectivity in subjects with an
             at-risk mental state for psychosis.},
   Journal = {Schizophr Bull},
   Volume = {40},
   Number = {4},
   Pages = {904-913},
   Year = {2014},
   Month = {July},
   ISSN = {0586-7614},
   url = {http://dx.doi.org/10.1093/schbul/sbt093},
   Abstract = {Recent functional imaging work in individuals experiencing
             an at-risk mental state (ARMS) for psychosis has implicated
             dorsal striatal abnormalities in the emergence of psychotic
             symptoms, contrasting with earlier findings implicating the
             ventral striatum. Our aims here were to characterize
             putative dorsal and ventral striatal circuit-level
             abnormalities in ARMS individuals using resting-state
             functional magnetic resonance imaging (fMRI) and to
             investigate their relationship to positive psychotic
             symptoms. Resting-state fMRI was acquired in 74 ARMS
             subjects and 35 matched healthy controls. An established
             method for mapping ventral and dorsal striatal functional
             connectivity was used to examine corticostriatal functional
             integrity. Positive psychotic symptoms were assessed using
             the Comprehensive Assessment of At-Risk Mental State and the
             Positive and Negative Syndrome Scale. Compared with healthy
             controls, ARMS subjects showed reductions in functional
             connectivity between the dorsal caudate and right
             dorsolateral prefrontal cortex, left rostral medial
             prefrontal cortex, and thalamus, and between the dorsal
             putamen and left thalamic and lenticular nuclei. ARMS
             subjects also showed increased functional connectivity
             between the ventral putamen and the insula, frontal
             operculum, and superior temporal gyrus bilaterally. No
             differences in ventral striatal (ie, nucleus accumbens)
             functional connectivity were found. Altered functional
             connectivity in corticostriatal circuits were significantly
             correlated with positive psychotic symptoms. Together, these
             results suggest that risk for psychosis is mediated by a
             complex interplay of alterations in both dorsal and ventral
             corticostriatal systems.},
   Doi = {10.1093/schbul/sbt093},
   Key = {fds270238}
}

@article{fds270239,
   Author = {Braver, TS and Krug, MK and Chiew, KS and Kool, W and Westbrook, JA and Clement, NJ and Adcock, RA and Barch, DM and Botvinick, MM and Carver,
             CS and Cools, R and Custers, R and Dickinson, A and Dweck, CS and Fishbach,
             A and Gollwitzer, PM and Hess, TM and Isaacowitz, DM and Mather, M and Murayama, K and Pessoa, L and Samanez-Larkin, GR and Somerville, LH and MOMCAI group},
   Title = {Mechanisms of motivation-cognition interaction: challenges
             and opportunities.},
   Journal = {Cogn Affect Behav Neurosci},
   Volume = {14},
   Number = {2},
   Pages = {443-472},
   Year = {2014},
   Month = {June},
   ISSN = {1530-7026},
   url = {http://dx.doi.org/10.3758/s13415-014-0300-0},
   Abstract = {Recent years have seen a rejuvenation of interest in studies
             of motivation-cognition interactions arising from many
             different areas of psychology and neuroscience. The present
             issue of Cognitive, Affective, & Behavioral Neuroscience
             provides a sampling of some of the latest research from a
             number of these different areas. In this introductory
             article, we provide an overview of the current state of the
             field, in terms of key research developments and candidate
             neural mechanisms receiving focused investigation as
             potential sources of motivation-cognition interaction.
             However, our primary goal is conceptual: to highlight the
             distinct perspectives taken by different research areas, in
             terms of how motivation is defined, the relevant dimensions
             and dissociations that are emphasized, and the theoretical
             questions being targeted. Together, these distinctions
             present both challenges and opportunities for efforts aiming
             toward a more unified and cross-disciplinary approach. We
             identify a set of pressing research questions calling for
             this sort of cross-disciplinary approach, with the explicit
             goal of encouraging integrative and collaborative
             investigations directed toward them.},
   Doi = {10.3758/s13415-014-0300-0},
   Key = {fds270239}
}

@article{fds270249,
   Author = {Clark, K and Cain, MS and Adcock, RA and Mitroff,
             SR},
   Title = {Context matters: the structure of task goals affects
             accuracy in multiple-target visual search.},
   Journal = {Appl Ergon},
   Volume = {45},
   Number = {3},
   Pages = {528-533},
   Year = {2014},
   Month = {May},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/23957930},
   Abstract = {Career visual searchers such as radiologists and airport
             security screeners strive to conduct accurate visual
             searches, but despite extensive training, errors still
             occur. A key difference between searches in radiology and
             airport security is the structure of the search task:
             Radiologists typically scan a certain number of medical
             images (fixed objective), and airport security screeners
             typically search X-rays for a specified time period (fixed
             duration). Might these structural differences affect
             accuracy? We compared performance on a search task
             administered either under constraints that approximated
             radiology or airport security. Some displays contained more
             than one target because the presence of multiple targets is
             an established source of errors for career searchers, and
             accuracy for additional targets tends to be especially
             sensitive to contextual conditions. Results indicate that
             participants searching within the fixed objective framework
             produced more multiple-target search errors; thus, adopting
             a fixed duration framework could improve accuracy for career
             searchers.},
   Doi = {10.1016/j.apergo.2013.07.008},
   Key = {fds270249}
}

@article{fds343628,
   Author = {Adcock, RA and MacInnes, J and Murty, V and Ballard, I and Chong, SA and Subramaniam, M and Keefe, R and MacDuffie, K and Poh, J and Dorairaj, K and Thong, J and Bong, Y},
   Title = {DORSOLATERAL PREFRONTAL CORTEX DRIVES MESOLIMBIC
             DOPAMINERGIC REGIONS DURING MOTIVATED BEHAVIOR: INSIGHTS
             FROM DYNAMIC CAUSAL MODELING AND FMRI IN AT-RISK
             ADOLESCENTS},
   Journal = {Schizophrenia Research},
   Volume = {153},
   Pages = {S38-S38},
   Publisher = {Elsevier BV},
   Year = {2014},
   Month = {April},
   url = {http://dx.doi.org/10.1016/s0920-9964(14)70127-6},
   Doi = {10.1016/s0920-9964(14)70127-6},
   Key = {fds343628}
}

@article{fds270243,
   Author = {Yaakub, SN and Dorairaj, K and Poh, JS and Asplund, CL and Krishnan, R and Lee, J and Keefe, RSE and Adcock, RA and Wood, SJ and Chee,
             MWL},
   Title = {Preserved working memory and altered brain activation in
             persons at risk for psychosis.},
   Journal = {Am J Psychiatry},
   Volume = {170},
   Number = {11},
   Pages = {1297-1307},
   Year = {2013},
   Month = {November},
   ISSN = {0002-953X},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000326724300012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Abstract = {OBJECTIVE: Patients with schizophrenia exhibit impairments
             in working memory that often appear in attenuated form in
             persons at high risk for the illness. The authors
             hypothesized that deviations in task-related brain
             activation and deactivation would occur in persons with an
             at-risk mental state performing a working memory task that
             entailed the maintenance and manipulation of letters.
             METHOD: Participants at ultra high risk for developing
             psychosis (N=60), identified using the Comprehensive
             Assessment of At-Risk Mental States, and healthy comparison
             subjects (N=38) 14 to 29 years of age underwent functional
             MRI while performing a verbal working memory task. Group
             differences in brain activation were identified using
             analysis of covariance. RESULTS: The two groups did not show
             significant differences in speed or accuracy of performance,
             even after accounting for differences in education.
             Irrespective of task condition, at-risk participants
             exhibited significantly less activation than healthy
             comparison subjects in the left anterior insula. During
             letter manipulation, at-risk persons exhibited greater
             task-related deactivation within the default-mode network
             than comparison subjects. Region-of-interest analysis in the
             at-risk group revealed significantly greater right
             dorsolateral prefrontal cortex activation during
             manipulation of letters. CONCLUSIONS: Despite comparable
             behavioral performance, at-risk participants performing a
             verbal working memory task exhibited altered brain
             activation compared with healthy subjects. These findings
             demonstrate an altered pattern of brain activation in
             at-risk persons that contains elements of reduced function
             as well as compensation.},
   Doi = {10.1176/appi.ajp.2013.12081135},
   Key = {fds270243}
}

@article{fds270250,
   Author = {Libertus, K and Gibson, J and Hidayatallah, NZ and Hirtle, J and Adcock,
             RA and Needham, A},
   Title = {Size matters: how age and reaching experiences shape
             infants' preferences for different sized
             objects.},
   Journal = {Infant Behav Dev},
   Volume = {36},
   Number = {2},
   Pages = {189-198},
   Year = {2013},
   Month = {April},
   ISSN = {0163-6383},
   url = {http://dx.doi.org/10.1016/j.infbeh.2013.01.006},
   Abstract = {Looking and reaching preferences for different-sized objects
             were examined in 4-5- and 5-6-month-old infants. Infants
             were presented with pairs of different sized cylinders and
             preferences were analyzed by age and reaching status.
             Outcome variables included looking and touching time for
             each object, first look, and first touch. Significant
             three-way interactions with age and reaching status were
             found for both infants' looking and touching duration.
             Four-5- and 5-6-month-olds with less reaching experience
             spent more time visually and manually exploring larger
             objects. In contrast, 5-6-month-olds with more reaching
             experience spent more time looking at and touching smaller
             objects, despite a first look and first touch preference for
             the largest object. Initially, looking and reaching
             preferences seem to be driven by mechanisms responding to
             general visual salience independent of an object's potential
             for manual action. Once reaching skills emerge, infants
             begin to use visual information to selectively choose
             smaller, more graspable objects as exploration
             targets.},
   Doi = {10.1016/j.infbeh.2013.01.006},
   Key = {fds270250}
}

@article{fds270251,
   Author = {Murty, VP and Ballard, IC and Macduffie, KE and Krebs, RM and Adcock,
             RA},
   Title = {Hippocampal networks habituate as novelty
             accumulates.},
   Journal = {Learn Mem},
   Volume = {20},
   Number = {4},
   Pages = {229-235},
   Year = {2013},
   Month = {March},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/23512939},
   Abstract = {Novelty detection, a critical computation within the medial
             temporal lobe (MTL) memory system, necessarily depends on
             prior experience. The current study used functional magnetic
             resonance imaging (fMRI) in humans to investigate dynamic
             changes in MTL activation and functional connectivity as
             experience with novelty accumulates. fMRI data were
             collected during a target detection task: Participants
             monitored a series of trial-unique novel and familiar scene
             images to detect a repeating target scene. Even though novel
             images themselves did not repeat, we found that fMRI
             activations in the hippocampus and surrounding cortical MTL
             showed a specific, decrementing response with accumulating
             exposure to novelty. The significant linear decrement
             occurred for the novel but not the familiar images, and
             behavioral measures ruled out a corresponding decline in
             vigilance. Additionally, early in the series, the
             hippocampus was inversely coupled with the dorsal striatum,
             lateral and medial prefrontal cortex, and posterior visual
             processing regions; this inverse coupling also habituated as
             novelty accumulated. This novel demonstration of a dynamic
             adjustment in neural responses to novelty suggests a
             similarly dynamic allocation of neural resources based on
             recent experience.},
   Doi = {10.1101/lm.029728.112},
   Key = {fds270251}
}

@article{fds300282,
   Author = {Sumner, E and Duffy, K and Adcock, RA},
   Title = {DOPAMINERGIC MODULATION OF REWARD-MOTIVATED
             MEMORY},
   Journal = {JOURNAL OF COGNITIVE NEUROSCIENCE},
   Pages = {227-228},
   Publisher = {MIT PRESS},
   Year = {2013},
   Month = {January},
   ISSN = {0898-929X},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000317030501259&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Key = {fds300282}
}

@article{fds300281,
   Author = {Murty, V and LaBar, K and Adcock, RA},
   Title = {THE ACTIVE AVOIDANCE OF THREAT ENHANCES NEURAL SENSITIVITY
             TO EXPECTANCY VIOLATION.},
   Journal = {JOURNAL OF COGNITIVE NEUROSCIENCE},
   Pages = {183-183},
   Publisher = {MIT PRESS},
   Year = {2013},
   Month = {January},
   ISSN = {0898-929X},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000317030501048&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Key = {fds300281}
}

@article{fds300280,
   Author = {Clement, N and Adcock, RA},
   Title = {MOVE FASTER TO LEARN BETTER: EXPLORATION SPEED IMPACTS
             LEARNING ABOUT OBJECTS AND THEIR LOCATIONS},
   Journal = {JOURNAL OF COGNITIVE NEUROSCIENCE},
   Pages = {79-80},
   Publisher = {MIT PRESS},
   Year = {2013},
   Month = {January},
   ISSN = {0898-929X},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000317030500272&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Key = {fds300280}
}

@article{fds270268,
   Author = {Murty, VP and Labar, KS and Adcock, RA},
   Title = {Threat of punishment motivates memory encoding via amygdala,
             not midbrain, interactions with the medial temporal
             lobe.},
   Journal = {J Neurosci},
   Volume = {32},
   Number = {26},
   Pages = {8969-8976},
   Year = {2012},
   Month = {June},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/22745496},
   Abstract = {Neural circuits associated with motivated declarative
             encoding and active threat avoidance have both been
             described, but the relative contribution of these systems to
             punishment-motivated encoding remains unknown. The current
             study used functional magnetic resonance imaging in humans
             to examine mechanisms of declarative memory enhancement when
             subjects were motivated to avoid punishments that were
             contingent on forgetting. A motivational cue on each trial
             informed participants whether they would be punished or not
             for forgetting an upcoming scene image. Items associated
             with the threat of shock were better recognized 24 h later.
             Punishment-motivated enhancements in subsequent memory were
             associated with anticipatory activation of right amygdala
             and increases in its functional connectivity with
             parahippocampal and orbitofrontal cortices. On a
             trial-by-trial basis, right amygdala activation during the
             motivational cue predicted hippocampal activation during
             encoding of the subsequent scene; across participants, the
             strength of this interaction predicted memory advantages due
             to motivation. Of note, punishment-motivated learning was
             not associated with activation of dopaminergic midbrain, as
             would be predicted by valence-independent models of
             motivation to learn. These data are consistent with the view
             that motivation by punishment activates the amygdala, which
             in turn prepares the medial temporal lobe for memory
             formation. The findings further suggest a brain system for
             declarative learning motivated by punishment that is
             distinct from that for learning motivated by
             reward.},
   Doi = {10.1523/JNEUROSCI.0094-12.2012},
   Key = {fds270268}
}

@article{fds300283,
   Author = {Johnson, EB and Wilson, J and Poh, J and Yaakub, S and Dorairaj, K and Rapisarda, A and Chee, M and Chong, SA and Subramaniam, M and Keefe, R and Kraus, M and Thong, J and Bong, YL and Adcock, RA},
   Title = {Midbrain Modulation of Hippocampus Dependent Learning in
             Singaporeans at Ultra High Risk for the Development of
             Schizophrenia},
   Journal = {BIOLOGICAL PSYCHIATRY},
   Volume = {71},
   Number = {8},
   Pages = {254S-254S},
   Publisher = {ELSEVIER SCIENCE INC},
   Year = {2012},
   Month = {April},
   ISSN = {0006-3223},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000302466001118&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Key = {fds300283}
}

@article{fds270266,
   Author = {Ballard, IC and Murty, VP and Carter, RM and MacInnes, JJ and Huettel,
             SA and Adcock, RA},
   Title = {Dorsolateral prefrontal cortex drives mesolimbic
             dopaminergic regions to initiate motivated
             behavior.},
   Journal = {J Neurosci},
   Volume = {31},
   Number = {28},
   Pages = {10340-10346},
   Year = {2011},
   Month = {July},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/21753011},
   Abstract = {How does the brain translate information signaling potential
             rewards into motivation to get them? Motivation to obtain
             reward is thought to depend on the midbrain [particularly
             the ventral tegmental area (VTA)], the nucleus accumbens
             (NAcc), and the dorsolateral prefrontal cortex (dlPFC), but
             it is not clear how the interactions among these regions
             relate to reward-motivated behavior. To study the influence
             of motivation on these reward-responsive regions and on
             their interactions, we used dynamic causal modeling to
             analyze functional magnetic resonance imaging (fMRI) data
             from humans performing a simple task designed to isolate
             reward anticipation. The use of fMRI permitted the
             simultaneous measurement of multiple brain regions while
             human participants anticipated and prepared for
             opportunities to obtain reward, thus allowing
             characterization of how information about reward changes
             physiology underlying motivational drive. Furthermore, we
             modeled the impact of external reward cues on causal
             relationships within this network, thus elaborating a link
             between physiology, connectivity, and motivation.
             Specifically, our results indicated that dlPFC was the
             exclusive entry point of information about reward in this
             network, and that anticipated reward availability caused VTA
             activation only via its effect on the dlPFC. Anticipated
             reward thus increased dlPFC activation directly, whereas it
             influenced VTA and NAcc only indirectly, by enhancing
             intrinsically weak or inactive pathways from the dlPFC. Our
             findings of a directional prefrontal influence on
             dopaminergic regions during reward anticipation suggest a
             model in which the dlPFC integrates and transmits
             representations of reward to the mesolimbic and mesocortical
             dopamine systems, thereby initiating motivated
             behavior.},
   Doi = {10.1523/JNEUROSCI.0895-11.2011},
   Key = {fds270266}
}

@article{fds270265,
   Author = {Whitford, TJ and Mathalon, DH and Shenton, ME and Roach, BJ and Bammer,
             R and Adcock, RA and Bouix, S and Kubicki, M and De Siebenthal and J and Rausch, AC and Schneiderman, JS and Ford, JM},
   Title = {Electrophysiological and diffusion tensor imaging evidence
             of delayed corollary discharges in patients with
             schizophrenia.},
   Journal = {Psychol Med},
   Volume = {41},
   Number = {5},
   Pages = {959-969},
   Year = {2011},
   Month = {May},
   ISSN = {0033-2917},
   url = {http://dx.doi.org/10.1017/S0033291710001376},
   Abstract = {BACKGROUND: Patients with schizophrenia (SZ)
             characteristically exhibit supranormal levels of cortical
             activity to self-induced sensory stimuli, ostensibly because
             of abnormalities in the neural signals (corollary
             discharges, CDs) normatively involved in suppressing the
             sensory consequences of self-generated actions. The nature
             of these abnormalities is unknown. This study investigated
             whether SZ patients experience CDs that are abnormally
             delayed in their arrival at the sensory cortex. METHOD:
             Twenty-one patients with SZ and 25 matched control
             participants underwent electroencephalography (EEG).
             Participants' level of cortical suppression was calculated
             as the amplitude of the N1 component evoked by a button
             press-elicited auditory stimulus, subtracted from the N1
             amplitude evoked by the same stimulus presented passively.
             In the three experimental conditions, the auditory stimulus
             was delivered 0, 50 or 100 ms subsequent to the
             button-press. Fifteen SZ patients and 17 healthy controls
             (HCs) also underwent diffusion tensor imaging (DTI), and the
             fractional anisotropy (FA) of participants' arcuate
             fasciculus was used to predict their level of cortical
             suppression in the three conditions. RESULTS: While the SZ
             patients exhibited subnormal N1 suppression to undelayed,
             self-generated auditory stimuli, these deficits were
             eliminated by imposing a 50-ms, but not a 100-ms, delay
             between the button-press and the evoked stimulus.
             Furthermore, the extent to which the 50-ms delay normalized
             a patient's level of N1 suppression was linearly related to
             the FA of their arcuate fasciculus. CONCLUSIONS: These data
             suggest that SZ patients experience temporally delayed CDs
             to self-generated auditory stimuli, putatively because of
             structural damage to the white-matter (WM) fasciculus
             connecting the sites of discharge initiation and
             destination.},
   Doi = {10.1017/S0033291710001376},
   Key = {fds270265}
}

@article{fds300284,
   Author = {Murty, VP and Chong, SA and Subramaniam, M and Keefe, R and Kraus, M and Poh, J and Dorairaj, K and Thong, J and Bong, YL and Adcock,
             RA},
   Title = {Amygdala Reactivity in Singaporeans at Ultra High Risk for
             the Development of Schizophrenia},
   Journal = {BIOLOGICAL PSYCHIATRY},
   Volume = {69},
   Number = {9},
   Pages = {235S-235S},
   Publisher = {ELSEVIER SCIENCE INC},
   Year = {2011},
   Month = {May},
   ISSN = {0006-3223},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000290641800747&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Key = {fds300284}
}

@article{fds270264,
   Author = {Murty, VP and Ritchey, M and Adcock, RA and LaBar,
             KS},
   Title = {Reprint of: fMRI studies of successful emotional memory
             encoding: a quantitative meta-analysis.},
   Journal = {Neuropsychologia},
   Volume = {49},
   Number = {4},
   Pages = {695-705},
   Year = {2011},
   Month = {March},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/21414466},
   Abstract = {Over the past decade, fMRI techniques have been increasingly
             used to interrogate the neural correlates of successful
             emotional memory encoding. These investigations have
             typically aimed to either characterize the contributions of
             the amygdala and medial temporal lobe (MTL) memory system,
             replicating results in animals, or delineate the neural
             correlates of specific behavioral phenomena. It has remained
             difficult, however, to synthesize these findings into a
             systems neuroscience account of how networks across the
             whole-brain support the enhancing effects of emotion on
             memory encoding. To this end, the present study employed a
             meta-analytic approach using activation likelihood estimates
             to assess the anatomical specificity and reliability of
             event-related fMRI activations related to successful memory
             encoding for emotional versus neutral information. The
             meta-analysis revealed consistent clusters within bilateral
             amygdala, anterior hippocampus, anterior and posterior
             parahippocampal gyrus, the ventral visual stream, left
             lateral prefrontal cortex and right ventral parietal cortex.
             The results within the amygdala and MTL support a wealth of
             findings from the animal literature linking these regions to
             arousal-mediated memory effects. The consistency of findings
             in cortical targets, including the visual, prefrontal, and
             parietal cortices, underscores the importance of generating
             hypotheses regarding their participation in emotional memory
             formation. In particular, we propose that the amygdala
             interacts with these structures to promote enhancements in
             perceptual processing, semantic elaboration, and attention,
             which serve to benefit subsequent memory for emotional
             material. These findings may motivate future research on
             emotional modulation of widespread neural systems and the
             implications of this modulation for cognition.},
   Doi = {10.1016/j.neuropsychologia.2011.02.031},
   Key = {fds270264}
}

@article{fds270267,
   Author = {Murty, VP and LaBar, KS and Hamilton, DA and Adcock,
             RA},
   Title = {Is all motivation good for learning? Dissociable influences
             of approach and avoidance motivation in declarative
             memory.},
   Journal = {Learn Mem},
   Volume = {18},
   Number = {11},
   Pages = {712-717},
   Year = {2011},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/22021253},
   Abstract = {The present study investigated the effects of approach
             versus avoidance motivation on declarative learning. Human
             participants navigated a virtual reality version of the
             Morris water task, a classic spatial memory paradigm,
             adapted to permit the experimental manipulation of
             motivation during learning. During this task, participants
             were instructed to navigate to correct platforms while
             avoiding incorrect platforms. To manipulate motivational
             states participants were either rewarded for navigating to
             correct locations (approach) or punished for navigating to
             incorrect platforms (avoidance). Participants' skin
             conductance levels (SCLs) were recorded during navigation to
             investigate the role of physiological arousal in motivated
             learning. Behavioral results revealed that, overall,
             approach motivation enhanced and avoidance motivation
             impaired memory performance compared to nonmotivated spatial
             learning. This advantage was evident across several
             performance indices, including accuracy, learning rate, path
             length, and proximity to platform locations during probe
             trials. SCL analysis revealed three key findings. First,
             within subjects, arousal interacted with approach
             motivation, such that high arousal on a given trial was
             associated with performance deficits. In addition, across
             subjects, high arousal negated or reversed the benefits of
             approach motivation. Finally, low-performing, highly aroused
             participants showed SCL responses similar to those of
             avoidance-motivation participants, suggesting that for these
             individuals, opportunities for reward may evoke states of
             learning similar to those typically evoked by threats of
             punishment. These results provide a novel characterization
             of how approach and avoidance motivation influence
             declarative memory and indicate a critical and selective
             role for arousal in determining how reinforcement influences
             goal-oriented learning.},
   Doi = {10.1101/lm.023549.111},
   Key = {fds270267}
}

@article{fds270262,
   Author = {Shohamy, D and Adcock, RA},
   Title = {Dopamine and adaptive memory.},
   Journal = {Trends Cogn Sci},
   Volume = {14},
   Number = {10},
   Pages = {464-472},
   Year = {2010},
   Month = {October},
   ISSN = {1364-6613},
   url = {http://dx.doi.org/10.1016/j.tics.2010.08.002},
   Abstract = {Memory is essential to adaptive behavior because it allows
             past experience to guide choices. Emerging findings indicate
             that the neurotransmitter dopamine, which signals
             motivationally important events, also modulates the
             hippocampus, a crucial brain system for long-term memory.
             Here we review recent evidence that highlights multiple
             mechanisms whereby dopamine biases memory towards events
             that are of motivational significance. These effects take
             place over a variety of timescales, permitting both
             expectations and outcomes to influence memory. Thus,
             dopamine ensures that memories are relevant and accessible
             for future adaptive behavior, a concept we refer to as
             'adaptive memory'. Understanding adaptive memory at
             biological and psychological levels helps to resolve a
             fundamental challenge in memory research: explaining what is
             remembered, and why.},
   Doi = {10.1016/j.tics.2010.08.002},
   Key = {fds270262}
}

@article{fds270263,
   Author = {Murty, VP and Ritchey, M and Adcock, RA and LaBar,
             KS},
   Title = {fMRI studies of successful emotional memory encoding: A
             quantitative meta-analysis.},
   Journal = {Neuropsychologia},
   Volume = {48},
   Number = {12},
   Pages = {3459-3469},
   Year = {2010},
   Month = {October},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/20688087},
   Abstract = {Over the past decade, fMRI techniques have been increasingly
             used to interrogate the neural correlates of successful
             emotional memory encoding. These investigations have
             typically aimed to either characterize the contributions of
             the amygdala and medial temporal lobe (MTL) memory system,
             replicating results in animals, or delineate the neural
             correlates of specific behavioral phenomena. It has remained
             difficult, however, to synthesize these findings into a
             systems neuroscience account of how networks across the
             whole-brain support the enhancing effects of emotion on
             memory encoding. To this end, the present study employed a
             meta-analytic approach using activation likelihood estimates
             to assess the anatomical specificity and reliability of
             event-related fMRI activations related to successful memory
             encoding for emotional versus neutral information. The
             meta-analysis revealed consistent clusters within bilateral
             amygdala, anterior hippocampus, anterior and posterior
             parahippocampal gyrus, the ventral visual stream, left
             lateral prefrontal cortex and right ventral parietal cortex.
             The results within the amygdala and MTL support a wealth of
             findings from the animal literature linking these regions to
             arousal-mediated memory effects. The consistency of findings
             in cortical targets, including the visual, prefrontal, and
             parietal cortices, underscores the importance of generating
             hypotheses regarding their participation in emotional memory
             formation. In particular, we propose that the amygdala
             interacts with these structures to promote enhancements in
             perceptual processing, semantic elaboration, and attention,
             which serve to benefit subsequent memory for emotional
             material. These findings may motivate future research on
             emotional modulation of widespread neural systems and the
             implications of this modulation for cognition.},
   Doi = {10.1016/j.neuropsychologia.2010.07.030},
   Key = {fds270263}
}

@article{fds300285,
   Author = {Johnson, EB and Adcock, RA},
   Title = {Generalized Enhancement of Episodic Memory by Prior Reward
             Experience},
   Journal = {BIOLOGICAL PSYCHIATRY},
   Volume = {67},
   Number = {9},
   Pages = {85S-85S},
   Publisher = {ELSEVIER SCIENCE INC},
   Year = {2010},
   Month = {May},
   ISSN = {0006-3223},
   url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000277064200272&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92},
   Key = {fds300285}
}

@article{fds270261,
   Author = {Han, S and Huettel, SA and Raposo, A and Adcock, RA and Dobbins,
             IG},
   Title = {Functional significance of striatal responses during
             episodic decisions: recovery or goal attainment?},
   Journal = {J Neurosci},
   Volume = {30},
   Number = {13},
   Pages = {4767-4775},
   Year = {2010},
   Month = {March},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/20357127},
   Abstract = {Memory retrieval is typically a goal-directed behavior, and
             as such, potentially influenced by reinforcement and
             motivation processes. Although striatal activation is often
             evident during memory retrieval, its functional significance
             remains unclear because typical memory paradigms do not
             control the motivational significance of memory decisions.
             We used event-related functional magnetic resonance imaging
             (fMRI) to investigate striatal activation during recognition
             with and without performance-linked monetary incentives.
             During initial performance in the absence of incentives,
             dorsal striatal activation for "Old" memory conclusions
             nonetheless exceeded that for "New" conclusions regardless
             of the accuracy of these conclusions. In contrast,
             subsequent scans paired incentives with either "Old" or
             "New" conclusions and demonstrated greater activation for
             whichever judgment was potentially rewarded, both with and
             without performance feedback. The data demonstrate that
             striatal activation during recognition judgments does not
             signal monetary reward receipt, cognitive feedback, or
             successful episodic retrieval. Instead, it is heavily
             dependent upon satisfaction of the subjective goals of the
             observer.},
   Doi = {10.1523/JNEUROSCI.3077-09.2010},
   Key = {fds270261}
}

@article{fds270260,
   Author = {Dale, CL and Findlay, AM and Adcock, RA and Vertinski, M and Fisher, M and Genevsky, A and Aldebot, S and Subramaniam, K and Luks, TL and Simpson,
             GV and Nagarajan, SS and Vinogradov, S},
   Title = {Timing is everything: neural response dynamics during
             syllable processing and its relation to higher-order
             cognition in schizophrenia and healthy comparison
             subjects.},
   Journal = {Int J Psychophysiol},
   Volume = {75},
   Number = {2},
   Pages = {183-193},
   Year = {2010},
   Month = {February},
   ISSN = {0167-8760},
   url = {http://dx.doi.org/10.1016/j.ijpsycho.2009.10.009},
   Abstract = {Successful linguistic processing requires efficient encoding
             of successively-occurring auditory input in a
             time-constrained manner, especially under noisy conditions.
             In this study we examined the early neural response dynamics
             to rapidly-presented successive syllables in schizophrenia
             participants and healthy comparison subjects, and
             investigated the effects of noise on these responses. We
             used magnetoencephalography (MEG) to reveal the time-course
             of stimulus-locked activity over bilateral auditory cortices
             during discrimination of syllable pairs that differed either
             in voice onset time (VOT) or place of articulation (POA), in
             the presence or absence of noise. We also examined the
             association of these early neural response patterns to
             higher-order cognitive functions. The M100 response, arising
             from auditory cortex and its immediate environs, showed less
             attenuation to the second syllable in patients with
             schizophrenia than healthy comparison subjects during
             VOT-based discrimination in noise. M100 response amplitudes
             were similar between groups for the first syllable during
             all three discrimination conditions, and for the second
             syllable during VOT-based discrimination in quiet and
             POA-based discrimination in noise. Across subjects, the lack
             of M100 attenuation to the second syllable during VOT-based
             discrimination in noise was associated with poorer task
             accuracy, lower education and IQ, and lower scores on
             measures of Verbal Learning and Memory and Global Cognition.
             Because the neural response to the first syllable was not
             significantly different between groups, nor was a
             schizophrenia-related difference obtained in all
             discrimination tasks, early linguistic processing
             dysfunction in schizophrenia does not appear to be due to
             general sensory input problems. Rather, data suggest that
             faulty temporal integration occurs during successive
             syllable processing when the signal-to-noise ratio is low.
             Further, the neural mechanism by which the second syllable
             is suppressed during noise-challenged VOT discrimination
             appears to be important for higher-order cognition and
             provides a promising target for neuroscience-guided
             cognitive training approaches to schizophrenia.},
   Doi = {10.1016/j.ijpsycho.2009.10.009},
   Key = {fds270260}
}

@article{fds270259,
   Author = {Adcock, RA and Dale, C and Fisher, M and Aldebot, S and Genevsky, A and Simpson, GV and Nagarajan, S and Vinogradov, S},
   Title = {When top-down meets bottom-up: auditory training enhances
             verbal memory in schizophrenia.},
   Journal = {Schizophr Bull},
   Volume = {35},
   Number = {6},
   Pages = {1132-1141},
   Year = {2009},
   Month = {November},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/19745022},
   Abstract = {A critical research priority for our field is to develop
             treatments that enhance cognitive functioning in
             schizophrenia and thereby attenuate the functional losses
             associated with the illness. In this article, we describe
             such a treatment method that is grounded in emerging
             research on the widespread sensory processing impairments of
             schizophrenia, as described elsewhere in this special issue.
             We first present the rationale for this treatment approach,
             which consists of cognitive training exercises that make use
             of principles derived from the past 2 decades of basic
             science research in learning-induced neuroplasticity; these
             exercises explicitly target not only the higher order or
             "top-down" processes of cognition but also the content
             building blocks of accurate and efficient sensory
             representations to simultaneously achieve "bottom-up"
             remediation. We then summarize our experience to date and
             briefly review our behavioral and serum biomarker findings
             from a randomized controlled trial of this method in
             outpatients with long-term symptoms of schizophrenia.
             Finally, we present promising early psychophysiological
             evidence that supports the hypothesis that this cognitive
             training method induces changes in aspects of impaired
             bottom-up sensory processing in schizophrenia. We conclude
             with the observation that neuroplasticity-based cognitive
             training brings patients closer to physiological patterns
             seen in healthy participants, suggesting that it changes the
             brain in an adaptive manner in schizophrenia.},
   Doi = {10.1093/schbul/sbp068},
   Key = {fds270259}
}

@article{fds270253,
   Author = {Carter, RM and Macinnes, JJ and Huettel, SA and Adcock,
             RA},
   Title = {Activation in the VTA and nucleus accumbens increases in
             anticipation of both gains and losses.},
   Journal = {Front Behav Neurosci},
   Volume = {3},
   Pages = {21},
   Year = {2009},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/19753142},
   Abstract = {To represent value for learning and decision making, the
             brain must encode information about both the motivational
             relevance and affective valence of anticipated outcomes. The
             nucleus accumbens (NAcc) and ventral tegmental area (VTA)
             are thought to play key roles in representing these and
             other aspects of valuation. Here, we manipulated the valence
             (i.e., monetary gain or loss) and personal relevance (i.e.,
             self-directed or charity-directed) of anticipated outcomes
             within a variant of the monetary incentive delay task. We
             scanned young-adult participants using functional magnetic
             resonance imaging (fMRI), utilizing imaging parameters
             targeted for the NAcc and VTA. For both self-directed and
             charity-directed trials, activation in the NAcc and VTA
             increased to anticipated gains, as predicted by prior work,
             but also increased to anticipated losses. Moreover, the
             magnitude of responses in both regions was positively
             correlated for gains and losses, across participants, while
             an independent reward-sensitivity covariate predicted the
             relative difference between and gain- and loss-related
             activation on self-directed trials. These results are
             inconsistent with the interpretation that these regions
             reflect anticipation of only positive-valence events.
             Instead, they indicate that anticipatory activation in
             reward-related regions largely reflects the motivational
             relevance of an upcoming event.},
   Doi = {10.3389/neuro.08.021.2009},
   Key = {fds270253}
}

@article{fds270256,
   Author = {Adcock, RA and Thangavel, A and Whitfield-Gabrieli, S and Knutson, B and Gabrieli, JDE},
   Title = {Reward-motivated learning: mesolimbic activation precedes
             memory formation.},
   Journal = {Neuron},
   Volume = {50},
   Number = {3},
   Pages = {507-517},
   Year = {2006},
   Month = {May},
   ISSN = {0896-6273},
   url = {http://dx.doi.org/10.1016/j.neuron.2006.03.036},
   Abstract = {We examined anticipatory mechanisms of reward-motivated
             memory formation using event-related FMRI. In a monetary
             incentive encoding task, cues signaled high- or low-value
             reward for memorizing an upcoming scene. When tested 24 hr
             postscan, subjects were significantly more likely to
             remember scenes that followed cues for high-value rather
             than low-value reward. A monetary incentive delay task
             independently localized regions responsive to reward
             anticipation. In the encoding task, high-reward cues
             preceding remembered but not forgotten scenes activated the
             ventral tegmental area, nucleus accumbens, and hippocampus.
             Across subjects, greater activation in these regions
             predicted superior memory performance. Within subject,
             increased correlation between the hippocampus and ventral
             tegmental area was associated with enhanced long-term memory
             for the subsequent scene. These findings demonstrate that
             brain activation preceding stimulus encoding can predict
             declarative memory formation. The findings are consistent
             with the hypothesis that reward motivation promotes memory
             formation via dopamine release in the hippocampus prior to
             learning.},
   Doi = {10.1016/j.neuron.2006.03.036},
   Key = {fds270256}
}

@article{fds270257,
   Author = {Knutson, B and Adcock, RA},
   Title = {Remembrance of rewards past.},
   Journal = {Neuron},
   Volume = {45},
   Number = {3},
   Pages = {331-332},
   Year = {2005},
   Month = {February},
   ISSN = {0896-6273},
   url = {http://dx.doi.org/10.1016/j.neuron.2005.01.020},
   Abstract = {Using event-related fMRI, Wittmann and colleagues report in
             this issue of Neuron that reward value enhances cue memory
             and that this process is associated with midbrain modulation
             of hippocampal consolidation. We propose that their findings
             introduce a novel mechanism by which positive arousal
             induced by reward anticipation may promote
             memory.},
   Doi = {10.1016/j.neuron.2005.01.020},
   Key = {fds270257}
}

@article{fds270258,
   Author = {Adcock, RA and Constable, RT and Gore, JC and Goldman-Rakic,
             PS},
   Title = {Functional neuroanatomy of executive processes involved in
             dual-task performance.},
   Journal = {Proc Natl Acad Sci U S A},
   Volume = {97},
   Number = {7},
   Pages = {3567-3572},
   Year = {2000},
   Month = {March},
   url = {http://dx.doi.org/10.1073/pnas.97.7.3567},
   Abstract = {The subjective experience of allocating one's attentional
             resources among competing tasks is nearly universal, and
             most current models of cognition include a mechanism that
             performs this allocation; examples include the central
             executive system and the supervisory attentional system.
             Yet, the exact form that an executive system might take and
             even its necessity for cognition are controversial.
             Dual-task paradigms have commonly been used to investigate
             executive function. The few neuroimaging studies of these
             paradigms have yielded contradictory findings. Using
             functional MRI, we imaged brain function during two
             dual-task paradigms, each with a common auditory component
             task (NOUN task) but varying with respect to a visual
             component task (SPACE or FACE tasks). In each of the two
             dual-task paradigms, the results showed that the activated
             areas varied with the component tasks, that all of the areas
             activated during dual task performance were also activated
             during the component tasks, and that surplus activation
             within activated areas during DUAL conditions was
             parsimoniously accounted for by the addition of the second
             task. These findings suggest that executive processes may be
             mediated by interactions between anatomically and
             functionally distinct systems engaged in performance of
             component tasks, as opposed to an area or areas dedicated to
             a generic executive system.},
   Doi = {10.1073/pnas.97.7.3567},
   Key = {fds270258}
}

@article{fds362021,
   Author = {Vinogradov, S and Fischer, A and DeVivo, K and Poole, JH and Merzenich,
             M and Wexler, BE},
   Title = {A pilot test of intensive computer-based cognitive training
             in schizophrenia},
   Journal = {BIOLOGICAL PSYCHIATRY},
   Volume = {47},
   Number = {8},
   Pages = {23S-23S},
   Year = {2000},
   Key = {fds362021}
}

@article{fds362022,
   Author = {Vinogradov, S and Adcock, RA and Fischer, A and Poole,
             JH},
   Title = {Neurocognitive findings in schizophrenic subjects with above
             average IQ},
   Journal = {BIOLOGICAL PSYCHIATRY},
   Volume = {47},
   Number = {8},
   Pages = {23S-23S},
   Year = {2000},
   Key = {fds362022}
}

@article{fds270255,
   Author = {Lane, JD and Adcock, RA and Burnett, RE},
   Title = {Respiratory sinus arrhythmia and cardiovascular responses to
             stress.},
   Journal = {Psychophysiology},
   Volume = {29},
   Number = {4},
   Pages = {461-470},
   Year = {1992},
   Month = {July},
   ISSN = {0048-5772},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/1410177},
   Abstract = {The parasympathetic nervous system provides mechanisms that
             could attenuate sympathetically mediated heart rate stress
             responses and might have even more general antagonistic
             actions on stress reactivity. Individuals characterized by
             higher levels of parasympathetic tone might, through such
             mechanisms, be less reactive when stimuli elicit
             sympathetically mediated responses. Respiratory sinus
             arrhythmia (RSA) is considered to be a noninvasive index of
             cardiac parasympathetic (vagal) tone. The present study
             investigated whether individual differences in RSA level at
             rest could predict variations among individuals in the
             magnitude of cardiovascular responses to psychological
             stress. None of the measures of resting respiratory sinus
             arrhythmia, derived from spectral analysis of beat-to-beat
             changes in resting heart rate, predicted the observed
             variations in cardiovascular task reactivity. However,
             scores reflecting respiratory sinus arrhythmia as the
             percentage of total heart rate variability (RSAnorm) were
             negatively correlated with blood pressure levels, both at
             rest and during the task. Furthermore, subjects with higher
             scores for RSAnorm demonstrated a faster adaptation of heart
             rate responses during stress, which suggests the development
             of parasympathetic antagonism to ongoing sympathetic
             arousal. Although a simple relationship between respiratory
             sinus arrhythmia and reactivity was not observed, these
             results encourage further investigation of RSA measures as
             psychophysiological indices of individual differences in
             parasympathetic (vagal) cardiac tone, or perhaps of general
             parasympathetic/sympathetic balance, which could modulate
             the expression of potentially pathogenic stress
             responses.},
   Doi = {10.1111/j.1469-8986.1992.tb01720.x},
   Key = {fds270255}
}

@article{fds270254,
   Author = {Lane, JD and Adcock, RA and Williams, RB and Kuhn,
             CM},
   Title = {Caffeine effects on cardiovascular and neuroendocrine
             responses to acute psychosocial stress and their
             relationship to level of habitual caffeine
             consumption.},
   Journal = {Psychosom Med},
   Volume = {52},
   Number = {3},
   Pages = {320-336},
   Year = {1990},
   ISSN = {0033-3174},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/2195579},
   Abstract = {The effects of a moderate dose of caffeine on cardiovascular
             and neuroendocrine stress reactivity were examined in 25
             healthy male subjects selected as habitual or light
             consumers of caffeine. Measurements were taken under resting
             conditions before and after administration of caffeine (3.5
             mg/kg) or placebo, during a stressful laboratory task, and
             in a post-stress recovery period. Caffeine elevated blood
             pressure and plasma norepinephrine levels at rest, effects
             which added significantly to the effects of stress. Caffeine
             potentiated stress-related increases in plasma epinephrine
             and cortisol stress, more than doubling the responses
             observed in the control condition. These effects were
             present in both habitual and light consumers and level of
             habitual caffeine consumption did not affect their
             magnitude. Results indicate that caffeine can potentiate
             both cardiovascular and neuroendocrine stress reactivity and
             that the habitual use of caffeine is not necessarily
             associated with the development of tolerance to these
             effects.},
   Doi = {10.1097/00006842-199005000-00006},
   Key = {fds270254}
}


%% Chapters in Books   
@misc{fds362020,
   Author = {Chiew, KS and Adcock, RA},
   Title = {Motivated memory: Integrating cognitive and affective
             neuroscience},
   Pages = {517-546},
   Booktitle = {The Cambridge Handbook of Motivation and
             Learning},
   Year = {2019},
   Month = {February},
   ISBN = {9781107177932},
   Abstract = {A growing body of literature indicates that motivation can
             critically shape long-term memory formation in the service
             of adaptive behavior. In the present chapter, we review
             recent cognitive neuroscience evidence of motivational
             influences on memory, with a focus on anatomical pathways by
             which neuromodulatory networks support encoding-related
             activity in distinct subregions of the medial temporal lobe.
             We argue that engagement of distinct neural circuits as a
             function of motivational context at encoding leads to
             formation of different memory representations, supporting
             different patterns of adaptive behavior. We present a novel
             neurocognitive model, the Interrogative/Imperative model of
             information-seeking, to account for pursuit of learning
             goals. Interrogative or imperative modes of
             information-seeking are often, but not necessarily,
             associated with approach or avoidance motivation,
             respectively. We also discuss additional influences on
             motivated memory encoding, including intrinsic motivation,
             curiosity, choice, and cognitive control processes. Taken
             together, this body of research suggests that the nature of
             memory representations depends on an individual's
             neurophysiological response to, rather than extrinsic
             qualities of, a given motivational manipulation or context
             at the time of encoding. Finally, we discuss potential
             applications of these research findings to real-life
             educational settings and directions for future
             research.},
   Key = {fds362020}
}

@misc{fds341289,
   Author = {Murty, VP and Adcock, RA},
   Title = {Distinct medial temporal lobe network states as neural
             contexts for motivated memory formation},
   Pages = {467-501},
   Booktitle = {The Hippocampus from Cells to Systems: Structure,
             Connectivity, and Functional Contributions to Memory and
             Flexible Cognition},
   Year = {2017},
   Month = {January},
   ISBN = {9783319504056},
   url = {http://dx.doi.org/10.1007/978-3-319-50406-3_15},
   Abstract = {In this chapter we examine how motivation creates a neural
             context for learning by dynamically engaging medial temporal
             lobe (MTL) systems. We review findings demonstrating that
             distinct modulatory networks, centered on the ventral
             tegmental area (VTA) and amygdala, are coherently recruited
             during specific motivational states and shunt encoding to
             hippocampal versus cortical MTL systems during learning. We
             posit that these shifts in encoding substrate serve to
             tailor both the content and form of memory representations,
             and speculate that these different representations support
             current and future adaptive behavior.},
   Doi = {10.1007/978-3-319-50406-3_15},
   Key = {fds341289}
}


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