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Multi-regional neural circuit dynamics underlying short-term memory

短期记忆的多区域神经回路动力学

基本信息

批准号：
10677029
负责人：
Shaul Druckmann
金额：
$ 61.69万
依托单位：
BAYLOR COLLEGE OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-15 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10677029
关键词：
Address Algorithms Alzheimer&apos s Disease Anatomy Animals Anterior Area Atlases BRAIN initiative Behavior Behavior monitoring Behavioral Behavioral Paradigm Biophysical Process Brain Brain Mapping Brain region Cerebellum Code Cognitive Data Data Set Decision Making Disease Etiology Event Functional disorder Funding Opportunities Future Gene Expression Goals Grant Individual Knowledge Link Maps Mediating Memory Methods Midbrain structure Modeling Movement Multiregional Analyses Mus Nature Neurons Outcome Pathway Analysis Pattern Population Dynamics Psyche structure Publishing Reading Recovery Rest Sensory Short-Term Memory Signal Transduction Silicon Site Standardization Structure System Techniques Technology Thalamic structure Work brain size cognitive function cognitive process control trial density driving behavior experience experimental study flexibility frontal lobe information model innovation loss of function model building multimodality neural neural circuit predicting response response sensory discrimination spatiotemporal theories

项目摘要

Abstract The focus of this BRAIN Initiative funding opportunity is to use “innovative approaches to understand how circuit activity gives rise to a specific behavior”. Cognitive behaviors arise from collective interactions of multiple brain systems. Yet, for most cognitive processes, we do not yet know which brain areas are involved and how multi-regional interactions mediate specific cognitive processes. This gap in knowledge arises because separate parts of the brain are studied individually, yet, the brain circuits driving behavior vary from one behavior to another. The goal of this proposal is to establish a working example of how brain-wide activity dynamics collectively generate one cognitive behavior. We address this question by studying how a mouse flexibly generate a volitional movement based on short-term memory. Neurons in multiple parts of the brain, including the frontal cortex, thalamus, midbrain, and cerebellum respond robustly during this short-term memory and causally contribute to the behavior. Taking advantage of this opportunity to establish how activity distributed across multiple brain systems orchestrates one coherent behavior, in this proposal, we will use newly developed experimental frameworks to analyze the underlying neural circuitry at brain-wide scale and establish causal relationships between specific activity patterns and behavior. First, we will use brain-wide loss-of-function screen, high-density silicon probe recording, and anatomical techniques to produce multi- modal maps of core neural substrates of the short-term memory. The outcome datasets will be put into standardized brain coordinates, making it possible to link the functional data to existing connectional and gene expression atlases. Next, we will use simultaneous recordings and spatiotemporally-precise perturbations to probe multi-regional interactions underlying the observed activity patterns and relationships to behavior. Finally, we will build multi-regional models that offer interpretable description of the behaviorally-relevant dynamics and relate them to underlying circuit connectivity. The outcome will disambiguate competing models of how information distributed over multiple brain regions is coordinated during cognitive processes, how information is dynamically routed and gated. The experimental, analysis, and modeling approaches will be broadly useful for analyzing distributed circuits driving behavior, as is the focus of multiple collaborative U19 grants. All the data and code will be published in the well document Neurodata Without Border (NWB) format.

摘要

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Approaches to inferring multi-regional interactions from simultaneous population recordings: Inferring multi-regional interactions from simultaneous population recordings.

DOI：
10.1016/j.conb.2020.10.004
发表时间：
2020-12
期刊：
Current opinion in neurobiology
影响因子：
5.7
作者：
Kang B;Druckmann S
通讯作者：
Druckmann S

Not everything, not everywhere, not all at once: a study of brain-wide encoding of movement.

不是一切，不是到处，也不是同时：对全脑运动编码的研究。

DOI：
10.1101/2023.06.08.544257
发表时间：
2023
期刊：
bioRxiv : the preprint server for biology
影响因子：
0
作者：
Wang,ZiyueAiden;Chen,Susu;Liu,Yi;Liu,Dave;Svoboda,Karel;Li,Nuo;Druckmann,Shaul
通讯作者：
Druckmann,Shaul