CAREER: Elucidating the role of brain hubs in task control

职业:阐明大脑中枢在任务控制中的作用

基本信息

  • 批准号:
    2305698
  • 负责人:
  • 金额:
    $ 96.72万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-01-15 至 2027-01-31
  • 项目状态:
    未结题

项目摘要

The human brain is made up of many regions that communicate with one another with an extensive array of axons (nerve fibers), forming multiple interlocking networks. “Hub” brain regions, much like airport hubs, have brain connections to many different regions and networks, forming a complex web of neural connections. Hubs participate widely across a diverse set of cognitive functions. Because of their widespread connections, hubs are well positioned to link functions across the brain as needed for executive and task control (the ability to flexibly guide thoughts and actions depending on our goals). Task control is vitally important for achieving both short-term goals (e.g., waking up early and carrying out a morning routine to get to work on time) and long-term goals (e.g., studying rules of the road and practicing supervised driving in order to learn how to drive and obtain a driver’s license) in everyday life. Task control requires that the brain flexibly coordinate relevant sensory, motor and cognitive functions to achieve those goals. This research explores how hub regions of the brain help to organize and coordinate these task control functions.Network neuroscience methods, based on non-invasive human neuroimaging data (using fMRI – functional Magnetic Resonance Imaging), can be used to identify, and elucidate the connectivity of brain hub regions. Prior work has shown that damage to these hub regions leads to widespread brain disconnections, and has a powerful impact on behavior and on brain interactions. However, the functional role of brain hubs in task control is still poorly understood, in terms of their specificity across task contexts and their role in representing task information. This research explores how and when brain hubs are used in different behavioral contexts and across multiple tasks in healthy subjects, and investigates the impact of individual differences in hub organization. This project uses fMRI to measure the connectivity, and task-related activation of hubs, in three inter-related research objectives to: (1) determine how hubs modulate information flow across diverse task contexts and task difficulty levels, (2) determine whether and with what specificity hubs represent task parameters, and (3) determine whether individual differences in hub organization relate to individual differences in task control functions. This investigation deepens our understanding of the functional role of hubs - leading to potential future insights into how brain hubs may be targeted to improve goal achievement.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.
人类大脑由许多区域组成,这些区域通过大量轴突(神经纤维)相互通信,形成多个联锁网络。“枢纽”大脑区域,就像机场枢纽一样,与许多不同的区域和网络有大脑连接,形成了一个复杂的神经连接网络。中枢广泛参与各种认知功能。由于它们广泛的连接,中枢可以很好地连接大脑中执行和任务控制所需的功能(根据我们的目标灵活指导思想和行动的能力)。任务控制对于实现短期目标(例如,早起并执行早晨的例行程序以准时上班)和长期目标(例如,学习道路规则和练习监督驾驶,以学习如何驾驶并获得驾驶执照)。任务控制要求大脑灵活地协调相关的感觉、运动和认知功能,以实现这些目标。这项研究探讨了大脑中枢区域如何帮助组织和协调这些任务控制功能。网络神经科学方法,基于非侵入性的人类神经成像数据(使用功能性磁共振成像),可以用来识别和阐明大脑中枢区域的连接。先前的研究表明,这些中枢区域的损伤会导致广泛的大脑连接中断,并对行为和大脑互动产生强大的影响。然而,大脑中枢在任务控制中的功能作用仍然知之甚少,就其在任务上下文中的特异性及其在代表任务信息中的作用而言。这项研究探讨了大脑中枢如何以及何时在健康受试者的不同行为环境和多项任务中使用,并调查了中枢组织中个体差异的影响。该项目使用功能磁共振成像来测量连接,以及与任务相关的中枢激活,在三个相互关联的研究目标:(1)确定中枢如何调节跨不同任务上下文和任务难度水平的信息流,(2)确定中枢是否以及以何种特异性表示任务参数,以及(3)确定中枢组织中的个体差异是否与任务控制功能中的个体差异有关。这项研究加深了我们对中枢功能作用的理解,从而为未来如何针对大脑中枢提高目标实现提供了潜在的见解。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

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)
From correlation to communication: Disentangling hidden factors from functional connectivity changes.
Brain hubs defined in the group do not overlap with regions of high inter-individual variability.
  • DOI:
    10.1016/j.neuroimage.2023.120195
  • 发表时间:
    2023-08-15
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Smith, Derek M.;Kraus, Brian T.;Dworetsky, Ally;Gordon, Evan M.;Gratton, Caterina
  • 通讯作者:
    Gratton, Caterina
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Caterina Gratton其他文献

Situating the salience and parietal memory networks in the context of multiple parallel distributed networks using precision functional mapping
利用精确的功能映射,将显著性和顶叶记忆网络置于多个并行分布式网络的背景中。
  • DOI:
    10.1016/j.celrep.2024.115207
  • 发表时间:
    2025-01-28
  • 期刊:
  • 影响因子:
    6.900
  • 作者:
    Young Hye Kwon;Joseph J. Salvo;Nathan L. Anderson;Donnisa Edmonds;Ania M. Holubecki;Maya Lakshman;Kwangsun Yoo;B.T. Thomas Yeo;Kendrick Kay;Caterina Gratton;Rodrigo M. Braga
  • 通讯作者:
    Rodrigo M. Braga
An Outline
一份大纲
  • DOI:
    10.1515/9783035617764-002
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ru Kong;R. Nathan Spreng;Aihuiping Xue;Richard F. Betzel;Jessica R. Cohen;J. Damoiseaux;F. Brigard;Simon B. Eickhoff;A. Fornito;Caterina Gratton;Evan M. Gordon;Avram J. Holmes;Angela R. Laird;Linda Larson;Lisa D. Nickerson;Ana Luísa Pinho;A. Razi;Sepideh Sadaghiani;James M. Shine;Anastasia Yendiki;B. T. Thomas Yeo;L. Uddin
  • 通讯作者:
    L. Uddin
Longitudinal Stability of Reward-Related Resting-State Networks in Youth With Bipolar-I/II Disorder
  • DOI:
    10.1016/j.biopsych.2024.02.131
  • 发表时间:
    2024-05-15
  • 期刊:
  • 影响因子:
  • 作者:
    Danella Hafeman;Jamie Feldman;Jessica Mak;John Merranko;Tina Goldstein;Caterina Gratton;Mary Phillips;Boris Birmaher
  • 通讯作者:
    Boris Birmaher
Using precision approaches to improve brain-behavior prediction
运用精准方法提升大脑与行为预测水平
  • DOI:
    10.1016/j.tics.2024.09.007
  • 发表时间:
    2025-02-01
  • 期刊:
  • 影响因子:
    17.200
  • 作者:
    Hyejin J. Lee;Ally Dworetsky;Nathan Labora;Caterina Gratton
  • 通讯作者:
    Caterina Gratton
Longitudinal stability of mood-related resting-state networks in youth with symptomatic bipolar-I/II disorder
有症状的双相 I/II 型障碍青少年中与情绪相关的静息态网络的纵向稳定性
  • DOI:
    10.1038/s41398-025-03404-5
  • 发表时间:
    2025-06-03
  • 期刊:
  • 影响因子:
    6.200
  • 作者:
    Danella M. Hafeman;Jamie Feldman;Jessica Mak;John Merranko;Tina R. Goldstein;Caterina Gratton;Mary L. Phillips;Boris Birmaher
  • 通讯作者:
    Boris Birmaher

Caterina Gratton的其他文献

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{{ truncateString('Caterina Gratton', 18)}}的其他基金

CAREER: Elucidating the role of brain hubs in task control
职业:阐明大脑中枢在任务控制中的作用
  • 批准号:
    2048066
  • 财政年份:
    2021
  • 资助金额:
    $ 96.72万
  • 项目类别:
    Continuing Grant

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