在休息和认知状态下,大脑网络节点的跨模块切换多样性
Chao Yi1, Yongchen Fan1, Ying Wu1,2
1State Key Laboratory for Strength and Vibration of Mechanical Structures and School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, 710049 China.
Cognitive neurodynamics
|November 17, 2023
概括
大脑网络节点切换动态影响认知. 休息状态中的高切换率与默认网络相关,影响网络属性和与任务相关的大脑功能.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 网络科学 网络科学
背景情况:
- 大规模的大脑网络动态对于理解大脑活动状态和认知功能至关重要.
- 模块之间的节点的时间切换是大脑网络动态的一个关键方面,但它的认知影响还未得到充分研究.
研究的目的:
- 通过使用多层网络分析,研究跨模块的大脑网络节点的行为.
- 探索节点切换率,网络拓和认知状态 (休息与任务) 之间的关系.
主要方法:
- 使用了功能磁共振成像 (fMRI) 来自休息状态和任务状态的数据.
- 使用重叠的滑动时间窗口构建了动态功能网络.
- 应用多层网络分析来检查跨大脑模块的节点切换行为.
主要成果:
- 在静止状态下,在默认网络中主要观察到高节点切换速率,而低速率与视觉网络相关.
- 具有高切换率的节点表现出较低的聚类系数和较短的特征路径长度,受体运动和背部注意力网络的影响.
- 任务状态保持了切换速率和网络拓指标之间的负相关性,与脑子子系统的任务特定调节.
结论:
- 节点切换行为是大脑网络动态的一个重要特征.
- 这些发现为大脑复杂的功能组织及其与认知的关系提供了新的见解.
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