随意闭眼的模块化大脑网络:加强了整合,显著影响了枢纽
Yi Zhang1,2, Xiao Han2, Xuelian Ge2
1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Cerebral cortex (New York, N.Y. : 1991)
|December 3, 2023
概括
闭上眼睛可以增强大脑网络的整合,特别是在默认模式的网络枢纽中. 这种从外部转向内部处理的转变与大脑信号的减少和意识的减弱有关.
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
- 大脑网络分析 脑网络分析
背景情况:
- 意愿性闭眼转换大脑处理从外部 (外接收) 到内部 (接收) 状态.
- 这种转变涉及大规模的大脑网络重新配置,其机制需要进一步研究.
研究的目的:
- 通过检查内在大脑模块内的功能集成来研究自愿闭眼期间的网络重新配置.
- 了解大脑网络枢纽如何为闭眼期间观察到的变化做出贡献.
主要方法:
- 使用公开可用的fMRI数据集,包括48名受试者在闭眼和眼条件下.
- 使用网络科学指标分析功能集成,包括模块化,参与系数和枢纽分类.
主要成果:
- 在闭眼期间观察到显著增强的模块化集成,其特点是较低的模块化,更高的参与系数,较少的省级枢纽和更多的连接器枢纽.
- 这种增强的集成在网络枢纽中很突出,主要是在默认模式网络中.
- 观察到的枢纽主导模块增强与闭眼期间减少的BOLD信号正相关.
结论:
- 随意闭眼导致大规模的皮质网络重组,其特点是增强的模块化集成和重组的枢纽.
- 这些发现提供了与闭眼相关的意识转变的神经支柱的见解.
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