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Resilience and Vulnerability of the Developing Brain's Connectome during the COVID-19 Pandemic

Resilience and Vulnerability of the Developing Brain's Connectome during the COVID-19 Pandemic
COVID-19 大流行期间发育中的大脑连接组的弹性和脆弱性
批准号:
2116707
负责人:
Catherine Stamoulis
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
Around the world, the COVID-19 pandemic has had a profoundly disruptive impact on everyday life. For children at vulnerable periods of development, such as adolescence, restrictions on activities that are critical to their physical, mental and cognitive health may have extensive but difficult to predict negative effects. Specifically, increased stress, fear and loneliness, may have detrimental effects on brain development and the organization of neural circuits that support critical functions, such as decision-making and social cognition. To address the urgent need to elucidate the pandemic’s impact on the developing brain, this project will use cutting-edge analytic tools to harness multimodal data from a large sample of adolescents in the Adolescent Brain Cognitive Development (ABCD) study. The overarching goal of this work is to systematically quantify the pandemic’s effects on brain networks that play a fundamental role in cognition, and to better understand aspects of their organization that reflect an increased risk of longer-term cognitive deficits. This project will leverage the data wealth of the ABCD study and novel computation approaches, with the goal to quantify modulations of neural circuits (the connectome) by the multifaceted adverse effects of the COVID-19 pandemic. For this purpose, we will develop novel network analyses/topological measures, hierarchical statistical models and extensive simulations. These tools will be applied to fMRI data collected prior to the outbreak, and topological properties of developed and maturating networks will be compared in association with cognitive and mental health outcomes. Large-scale simulations will predict outcome changes based on perturbed connectomes. Neuroimaging data collected following the outbreak will be used to validate these predictions. Findings from this project may provide transformative insights into the resilience and vulnerability of developing neural circuits to large-scale events such as a global pandemic. These findings could be leveraged to develop efficient interventions to minimize/prevent detrimental long-term effects on cognitive outcomes in children.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Generative Models For Large-Scale Simulations Of Connectome Development
连接体发育大规模模拟的生成模型
DOI: 10.1109/icasspw59220.2023.10193544
发表时间: 2023
期刊: and Signal Processing
影响因子: --
作者: [Brooks, Skylar J, Stamoulis, Catherine]
通讯作者: Stamoulis, Catherine
DOI: 10.1093/cercor/bhae164
发表时间: 2024-04-26
期刊: CEREBRAL CORTEX
影响因子: 3.7
作者: [Hu,Linfeng, Stamoulis,Catherine]
通讯作者: Stamoulis,Catherine
DOI: 10.1038/s41366-023-01303-7
发表时间: 2023-04
期刊: International Journal of Obesity
影响因子: 4.9
作者: [Skylar J. Brooks;Calli Smith;C. Stamoulis]
通讯作者: Skylar J. Brooks;Calli Smith;C. Stamoulis
DOI: 10.1002/hbm.26669
发表时间: 2024-04-01
期刊: HUMAN BRAIN MAPPING
影响因子: 4.8
作者: [Brooks,Skylar J., Jones,Victoria O., Stamoulis,Catherine]
通讯作者: Stamoulis,Catherine
CRCNS Research Proposal: Modeling Human Brain Development as a Dynamic Multi-Scale Network Optimization Process
  • 批准号:
    2207733
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $51.86万
  • 财政年份:
    2022
  • 负责人:
    Catherine Stamoulis
  • 依托单位:
Collaborative Research: From Brains to Society: Neural Underpinnings of Collective Behaviors Via Massive Data and Experiments
  • 批准号:
    1940096
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $53.85万
  • 财政年份:
    2019
  • 负责人:
    Catherine Stamoulis
  • 依托单位:
Dynamic changes in neural circuitry underlying emotional face processing in early life: network re-organization and functional interactions
  • 批准号:
    1658414
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.32万
  • 财政年份:
    2017
  • 负责人:
    Catherine Stamoulis
  • 依托单位:
Computational Infrastructure for Brain Research: EAGER: Next-Generation Neural Data Analysis (NGNDA) Platform: Massive Parallel Analysis of Multi-Modal Brain Networks
  • 批准号:
    1649865
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2016
  • 负责人:
    Catherine Stamoulis
  • 依托单位:
海外基金