Role of the Decision-Making Reference Point in Cognition and Psychopathology

决策参考点在认知和精神病理学中的作用

• 批准号: 10372606
• 负责人: PAUL W GLIMCHER
• 金额: $ 21.19万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-22 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10372606
• 关键词: Adult; Affective; Anhedonia; Behavioral; Behavioral Mechanisms; Brain; Categories; Clinical; Cognition; Coupled; Data; Decision Making; Depressive disorder; Development; Diagnosis; Disease; Dopamine; Environment; Event; Formulation; Goals; Health; Human; Individual; Language; Learning; Light; Link; Major Depressive Disorder; Measurement; Measures; Mental Depression; Mental Health; Modeling; Mood Disorders; Moods; Neurosciences; Outcome; Pathologic; Pathology; Patient Self-Report; Patients; Persons; Phenotype; Population; Positive Reinforcements; Positive Reinforcer; Predisposition; Property; Psychopathology; Psychophysics; Punishment; Research; Research Domain Criteria; Rewards; Rodent; Role; Science; Speed; Structure; System; Testing; Time; Work; base; clinical phenotype; computer framework; depressive symptoms; expectation; experience; experimental study; instrument; negative affect; negative mood; neurobiological mechanism; psychologic; reinforcer; response; tool

Project Summary Mood disorders are characterized by a tendency to subjectively evaluate objectively positive outcomes in a negative light. A fundamental feature of nearly all standard models of decision- making is the idea that the subjective value of any choice option is shaped by one’s internal expectation, or ‘reference point’. Using behavioral decision-making tasks informed by an understanding of how human expectations are set, here propose to test the hypothesis that affective mood impacts the decision-making reference point—the computational instantiation of our expectations—and thus drives shifts in subjective value that mark mood pathologies like major depressive disorder (MDD). In our first Aim we seek to establish that mood correlates with the static state of the reference point in health choosers and that in mood disorders, principally MDD, the level of pathology correlates with the easily and objectively measured reference point. In the second aim we propose to extend these tools to correlate the rate of dynamic reference point resetting with mood state and depressive symptoms in healthy and pathological populations. We hypothesize that developing a neurocomputational framework for understanding the role of the reference point in psychopathology may offer a new construct for use in the RDoC framework.

项目总结