静态和动态的功能连接体揭示了跨认知状态的全脑网络的重新配置配置
Heming Zhang1, Chun Meng1, Xin Di2
1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
大脑网络的重新配置在静态和动态功能连接 (FC) 措施之间有所不同. 动态FC在高认知负载期间显示出更大的灵活性,为大脑功能和疾病提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 网络科学 网络科学
背景情况:
- 功能连接 (FC) 揭示了大脑网络的组织,对认知至关重要.
- 使用聚合和时间解决的FC来理解跨认知状态的大脑网络重新配置是有限的.
研究的目的:
- 在不同的认知负载下调查静态FC (sFC) 和动态FC (dFC) 网络的相似性和变化.
- 探索网络重新配置和特定的认知过程之间的关系.
主要方法:
- 采用静态FC (sFC) 进行总体网络分析,以及基于滑窗的动态FC (dFC) 进行时变网络分析.
- 在不同的认知负载下检查了边缘权重和网络拓变化.
- 与任务性能相关联的网络重新配置.
主要成果:
- 无论是sFC还是dFC网络,都表现出与任务性能相关的微妙但显著的重新配置.
- 较高的认知负载导致sFC网络的功能集成增加,dFC网络的模块化重组变化更大.
- 与传感器运动和低阶认知相关的sFC重构;与高阶认知相关的dFC重构.
结论:
- sFC和dFC重新配置配置文件提供了关于认知功能的不同的信息.
- 复杂的任务需要更集成和灵活的脑网络重新配置.
- 这些发现可以为研究大脑功能和神经系统疾病提供信息.
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