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Understanding overlap in resting state fMRI networks at the single cell level: a cross-species approach

Understanding overlap in resting state fMRI networks at the single cell level: a cross-species approach
了解单细胞水平静息态 fMRI 网络的重叠:跨物种方法
批准号:
10059107
负责人:
Janine Diane Bijsterbosch
金额:
$70.88万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-15 至 2023-05-31

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英文摘要
Understanding overlap in resting state fMRI networks at the single cell level: a cross-species approach Abstract Resting state functional connectivity MRI (rsfcMRI) is a popular tool to investigate the intrinsic functional organization of the brain into large scale networks. Multiple different lines of investigation have pointed to the importance of densely interconnected `hub' regions for cognition and behavior. However, the functional architecture of cellular circuits in these hub regions is unknown. To study the cellular underpinnings of hub regions, we bring together an interdisciplinary research team to bridge across species and across scales. We start by generalizing recent advances in human fcMRI analyses across species to characterize individualized patterns of network overlap in rsfcMRI data from awake macaque monkeys (Aim 1). This allows us to identify regions of interest for recordings in this same animals from a hub region where two (or more) networks spatially overlap, and from two non-hub regions that strongly contribute to only one of the networks respectively. We then ask whether, at a finer cellular scale, there is true neural coupling between both networks in hub regions, or whether networks that appear spatially overlapping at the resolution of rsfcMRI data are in fact spatially interdigitated rather than overlapping at a finer scale (Aim 2). Lastly, we use electrophysiological recordings to determine whether individual neurons in hub regions integrate information from both overlapping networks (i.e. coupling), or whether neurons dynamically switch their network allegiance from one network to another over time (Aim 3). The outcomes of this proposal have important implications for the modeling and interpretation of human rsfcMRI data. This R34 proposal provides the opportunity to establish a new collaboration and validate our methodology across species. These factors are essential for the next stage of our project, a Targeted Brain Circuits Project R01 proposal, in which we will build on this line of investigation by bridging into behavior to study how fundamental principles of the brain circuits in hub regions form the biological basis of mental processes.
期刊论文(5)
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科研奖励(0)
会议论文
DOI: 10.1016/j.neuroimage.2021.118513
发表时间: 2021-11
期刊: NeuroImage
影响因子: 5.7
作者: [Farahibozorg SR, Bijsterbosch JD, Gong W, Jbabdi S, Smith SM, Harrison SJ, Woolrich MW]
通讯作者: Woolrich MW
DOI: 10.1002/hbm.25690
发表时间: 2022-02-01
期刊: Human brain mapping
影响因子: 4.8
作者: [Dutt RK, Hannon K, Easley TO, Griffis JC, Zhang W, Bijsterbosch JD]
通讯作者: Bijsterbosch JD
DOI: 10.1038/s41398-022-02172-w
发表时间: 2022-10-03
期刊: TRANSLATIONAL PSYCHIATRY
影响因子: 6.8
作者: [Zhang, Wei, Paul, Sarah E., Winkler, Anderson, Bogdan, Ryan, Bijsterbosch, Janine D.]
通讯作者: Bijsterbosch, Janine D.
DOI: 10.1038/s41593-022-01058-w
发表时间: 2022-06
期刊: NATURE NEUROSCIENCE
影响因子: 25
作者: [Bijsterbosch, Janine]
通讯作者: Bijsterbosch, Janine
HCP-2.0: Ascertaining Network Mechanisms and Analytics of Emotional Dysfunction (HARMONY)
  • 批准号:
    10803654
  • 项目类别:
  • 资助金额:
    $84.64万
  • 财政年份:
    2023
  • 负责人:
    Janine Diane Bijsterbosch
  • 依托单位:
Individualized brain biomarkers of late life depression: contributions to heterogeneity and resilience
  • 批准号:
    10676995
  • 项目类别:
  • 资助金额:
    $46.44万
  • 财政年份:
    2022
  • 负责人:
    Janine Diane Bijsterbosch
  • 依托单位:
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