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Thalamic regulation of prefrontal dynamics in decision making under uncertainty

丘脑对不确定性决策中前额叶动态的调节

基本信息

批准号：
10773415
负责人：
Arghya Mukherjee
金额：
$ 10.92万
依托单位：
TUFTS UNIVERSITY BOSTON
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-03-01 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10773415
关键词：
Animal Behavior Animals Attention Auditory Behavior Behavioral Belief Belief System Biological Models Brain Communication Communities Complex Conflict (Psychology)Cues Data Decision Making Dedications Development Plans Dissection Dorsal Economics Electrophysiology (science)Environment Failure Foundations Future Genetic Human Learning Maps Mental disorders Mentors Modeling Modernization Molecular Mus Neurons Noise Outcome Phase Population Prefrontal Cortex Primates Probability Process Psychiatry Psychological reinforcement Psychoses Psychotic Disorders Regulation Research Research Proposals Rewards Rodent Role Schizophrenia Sensory Signal Transduction Source Specific qualifier value Stimulus Structure System Techniques Testing Thalamic structure Therapeutic Training Tupaia Tupaiidae Uncertainty Update Visual attentional control behavioral outcome career career development cell type cognitive control cognitive neuroscience cognitive process experimental study frontal lobe in vivo neural neural circuit optogenetics public health relevance sensory input statistics targeted treatment tool translational study

项目摘要

Abstract: Research Plan: Decision making is a process through which actions are selected based on sensory cues or value of desired outcome. Critical to their function decision making systems, like the prefrontal cortex (PFC), need to capture the causal structure of its environment (an internal model or belief system) and update its internal beliefs when underlying associations change. While a lot of effort has gone into understanding neural circuit mechanisms within the PFC recent findings suggest that interactions with the medio dorsal thalamus (MD) is crucial for its function and are especially important when decisions must be made using information that is noisy. Moreover, failure to resolve noise in updating internal beliefs is thought to underlie schizophrenia and related psychotic illnesses. Thus, determining the circuit mechanisms of MD-PFC interactions is relevant to not only cognitive neuroscience but also to psychiatry. This K99/R00 research proposal will address the role of MD in regulating PFC dynamics during decision making under uncertainty through the following three Aims. Aim 1, will explore if genetically identifiable populations within the MD, due to their unique connectivity with the PFC, are selectively geared towards resolving sensory input uncertainty arising from high noise versus low signal. Aim 2 will explore the role of MD in a multi-step decision making paradigm to study human-like reasoning using treeshrews (Tupaia), which are akin to basal primates. The first two Aims 2 will be carried out in the K99 training phase. In Aim 3, performed in the independent R00 phase the findings from Aim 1 and 2 will be extended to economic decision making where uncertainty exists at the level of expected rewards. These Aims collectively, will elucidate the circuit mechanisms through which the MD-PFC interactions play a role in resolving uncertainty in decisions and will further provide precise targets through which deficits in decision making can be therapeutically ameliorated. Career Development Plan: The K99 training will provide the tools and training necessary to study the activity of neurons in the brain to decipher underlying circuit mechanisms. The R00 phase will build the foundations of an independent research career driven by experiments that deconstructs complex decision making into a combination of simpler cognitive processes sub served by specified circuitry.

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