Orbitofrontal cortex as a cognitive map of task states
Orbitofrontal cortex as a cognitive map of task states
批准号:
9353368
负责人:
Yael Niv
金额:
$36.45万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-15 至 2021-06-30
关键词:
AffectAgeAreaBehaviorBehavioralBrainBrain imagingCodeCognitiveComplexComputer AnalysisDataDecision MakingDimensionsDiseaseEconomicsEnvironmentFaceFunctional Magnetic Resonance ImagingFunctional disorderFutureHippocampus (Brain)HumanIndividual DifferencesInvestigationJudgmentLearningMapsMeasuresMethodsMultivariate AnalysisNatureNeuronsObsessive-Compulsive DisorderPaperParticipantPatternPerformancePrefrontal CortexReaction TimeRecording of previous eventsRewardsRoleShort-Term MemorySourceStructureSubstance abuse problemTask PerformancesTestingThinkingTimeTractionVisual CortexWorkaddictionbasebehavior predictiondesignexperimental studyextrastriate visual cortexflexibilityinsightmeetingspatient populationrelating to nervous systemresponsereward expectancysymposiumtheoriesvisual processing
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project summary: The orbitofrontal cortex as a cognitive map of task states
The orbitofrontal cortex (OFC) has remained one of the most mysterious areas in the prefrontal cortex, with suggested
functions ranging from inhibition of prepotent actions to valuation in economic decision making. OFC dysfunction is
implicated in a wide range of decision-related disorders, chief among them compulsive disorders such as addiction and OCD.
Recently, we hypothesized that the OFC represents the current state of the task within a “cognitive map” of task space,
providing a summary of task-relevant information to decision-making and learning areas elsewhere in the brain (Wilson et al.,
2014, Neuron). In particular, theoretical considerations and previous empirical data suggest that the OFC is especially
important for representing task states that are “partially observable”—states that include information that is not directly
available in the environment, such as internal information from working memory.
This hypothesis offers a unifying theoretical framework for interpreting a wide variety of existing findings, and has already
gained considerable traction in the field (e.g., the paper has been cited over 50 times and was mentioned in over half the
talks in a recent conference on the OFC). However, the theory has not yet been tested directly, as previous data can also be
explained by alternative interpretations. Here we propose to test the hypothesis that the OFC represents task states, and to
contrast and differentiate this function from the dominant competing hypothesis according to which the OFC represents
reward expectancies.
In Aim1, we will test whether the OFC codes the states of an age-judgment task that requires encoding of
unobservable information as a critical part of the task state, and that does not involve rewards. We will use fMRI to
measure OFC activity in humans, and utilize multivariate analysis methods to test whether the task states can be decoded in
OFC, and whether this state representation correlates with and predicts task performance. In Aim 2, we will differentiate
the state coding and value coding functions of the OFC by adding rewards to the age-judgment task and testing whether
rewards are decodable in OFC when they are instrumental to task performance versus incidental to task performance. Our
theory predicts that rewards will be represented in OFC only if they are required as part of the task state. Throughout, we will
also analyze representations in related brain areas such as the dorsolateral prefrontal cortex, the hippocampus and
high-level visual cortices, to determine the unique function of the OFC, and to establish the relationship between task states
in the OFC and task-relevant information encoded elsewhere in the brain.
Our findings will impact on the current understanding of the role of OFC in both normal and aberrant learning and decision
making, and will help explain why the OFC is important for some tasks but not others. Moreover, our work will establish the
utility of decoding internal task states from non-invasive brain imaging data for predicting behavior and for analyzing individual
differences in task representations. This is especially relevant to understanding the precise nature of decision-making
deficiencies in disorders such as substance abuse and other compulsive disorders where the OFC is strongly implicated.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology
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批准号:10461033
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项目类别:
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财政年份:2020
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依托单位:
Decoding the dynamic representation of reward predictions across mesocorticostriatal circuits during learning
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资助金额:$28.35万
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依托单位:
Decoding the dynamic representation of reward predictions across mesocorticostriatal circuits during learning
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批准号:10153745
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项目类别:
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资助金额:$28.35万
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财政年份:2020
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负责人:Yael Niv
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依托单位:
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology
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批准号:10239260
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项目类别:
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资助金额:$27.7万
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CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology
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批准号:10663070
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财政年份:2020
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A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention
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批准号:10656297
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项目类别:
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资助金额:$43.8万
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依托单位:
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention
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批准号:10449368
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项目类别:
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资助金额:$44.82万
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财政年份:2019
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依托单位:
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention
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批准号:10219795
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项目类别:
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资助金额:$47.43万
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财政年份:2019
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负责人:Yael Niv
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依托单位:
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention
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批准号:10002301
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项目类别:
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资助金额:$49.04万
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财政年份:2019
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负责人:Yael Niv
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依托单位:
Orbitofrontal cortex as a cognitive map of task states
-
批准号:9159875
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项目类别:
-
资助金额:$36.45万
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财政年份:2016
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负责人:Yael Niv
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依托单位:
Neural and computational mechanisms of selective attention in decision making
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批准号:8547107
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项目类别:
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资助金额:$34.98万
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财政年份:2012
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依托单位:
Neural and computational mechanisms of selective attention in experience-based de
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批准号:8413279
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项目类别:
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资助金额:$35.26万
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财政年份:2012
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负责人:Yael Niv
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依托单位:
Neural and computational mechanisms of selective attention in decision making
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批准号:8727105
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项目类别:
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资助金额:$36.44万
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财政年份:2012
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依托单位:
fMRI investigations of how we learn what is relevant for a decision
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批准号:8048585
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项目类别:
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资助金额:$24.15万
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财政年份:2011
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负责人:Yael Niv
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依托单位:
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