Dynamics in resting and task-based functional connectivity

休息和基于任务的功能连接的动态

• 批准号: 8734274
• 负责人: TIMOTHY OTTO LAUMANN
• 金额: $ 2.9万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8734274
• 关键词: Aging; Anterior; Architecture; Behavior; Behavior Control; Beryllium; Bilateral; Biological; Brain; Brain region; Communities; Complex; Data; Development; Diffusion; Disease; Dorsal; Ensure; Evaluation; Exhibits; Failure; Foundations; Frequencies; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Human; Individual; Insula of Reil; Literature; Magnetic Resonance Imaging; Maintenance; Measurement; Measures; Mental disorders; Metric; Modeling; Movement; National Institute of Mental Health; Pathology; Pattern; Performance; Play; Process; Property; Relative (related person); Reporting; Research Personnel; Resolution; Resources; Rest; Role; Scanning; Signal Transduction; Slide; Stereotyping; Structure; System; Testing; Time; Training; Visual; Work; base; blood oxygen level dependent; design; information processing; insight; member; novel strategies; public health relevance; relating to nervous system; theories

DESCRIPTION (provided by applicant): In order to understand how the human brain is organized to process and transform information it has become increasingly recognized that a network-level description of its constituent processing elements is needed. To this end, structural and diffusion-based MRI have begun to explain which parts of the human brain are physically connected to each other, and resting state functional connectivity MRI (rs-fcMRI) has revealed large-scale long-term BOLD correlation relationships within that structure. This latter description has typically assumed stability in these relationships over long periods of time, but our understanding of the brain as a complex dynamic system suggests that members of the brain network change their interactions with each other moment-to-moment and in the context of different processing demands. This proposal aims to harness the unique combination of spatial and temporal resolution provided by functional MRI to rigorously demonstrate the dynamic properties of the brain network both at rest and during tasks. The proposal has two aims. The first aim is to characterize dynamic fluctuations in connectivity relationships in the unconstraine setting of rest. We plan to rigorously determine whether and where highly variable relationships exist, how these dynamics relate to the known modular network structure, and whether patterns of dynamics exist between known functional communities. We have preliminary evidence that meaningful dynamics exist, but wish to comprehensively describe the spatial organization and temporal properties of these dynamics, to give insight into how they relate to healthy brain function and to provide a reference for identifying altered dynamics in disease. The second aim is designed to illuminate the potential biological significance of dynamics in correlation by manipulating them in a well-controlled task setting. Specifically, we wish to test if changing external task demands induces transient changes in network coordination in regions of the brain believed to be involved in orchestrating effective task processing. This would provide strong evidence for an observable role of distributed network coordination in processing information in addition to localized BOLD activity, and would suggest an alternative framework for interpreting processing failures in pathological brains. In funding the Human Connectome Project, the NIMH recognized the importance of an accurate and detailed description of structural and functional connectivity in the healthy human brain as a critical step in understanding disorders of mental health. Description and analysis of dynamics in this connectivity is a natural extension of this mandate and will provide a more sensitive space in which to understand brain function, dysfunction, and changes over development and aging.

描述（由申请人提供）：为了理解人脑如何被组织以处理和转换信息，越来越认识到需要对其组成处理元件的网络级描述。为此，基于结构和扩散的MRI已经开始解释人类大脑的哪些部分是相互物理连接的，而静息状态功能连接MRI（rs-fcMRI）已经揭示了该结构内的大规模长期BOLD相关关系。后一种描述通常假设这些关系在很长一段时间内是稳定的，但我们对大脑作为一个复杂动态系统的理解表明，大脑网络的成员在不同的处理需求的背景下随时改变彼此之间的相互作用。该提案旨在利用功能性MRI提供的空间和时间分辨率的独特组合，以严格展示大脑网络在休息和任务期间的动态特性。该提案有两个目的。第一个目的是表征动态波动的连接关系中的无约束设置休息。我们计划严格确定是否以及在哪里存在高度可变的关系，这些动态如何与已知的模块化网络结构，以及是否存在已知的功能社区之间的动态模式。我们有初步的证据表明，有意义的动力学存在，但希望全面描述这些动力学的空间组织和时间特性，深入了解它们如何与健康的大脑功能，并为识别疾病中的动力学改变提供参考。第二个目的是照亮潜在的生物学意义的动力学的相关性，通过操纵它们在一个良好的控制任务设置。具体来说，我们希望测试外部任务需求的变化是否会导致大脑区域网络协调的短暂变化，这些区域被认为参与了有效的任务处理。这将提供强有力的证据，分布式网络协调在处理信息中的可观察的作用，除了本地化的BOLD活动，并建议一个替代的框架来解释病理大脑中的处理失败。在资助人类连接组项目时，NIMH认识到准确和详细描述健康人脑中结构和功能连接的重要性，这是理解精神健康障碍的关键一步。描述和分析这种连接的动态是这一任务的自然延伸，将提供一个更敏感的空间，以了解大脑功能，功能障碍以及发育和衰老的变化。