频谱切换分析揭示了人类大脑中同时发生的自发自然主义行为的实时神经网络表示
Hongkun Zhu1,2,3, Andrew J Michalak2, Edward M Merricks2
1Department of Biomedical Engineering, Columbia University.
bioRxiv : the preprint server for biology
|July 19, 2024
概括
大脑区域在功率状态之间表现出同步的"光谱切换",形成功能网络. 这些网络与对话和运动等实时行为保持一致,为大脑动态提供了新的见解.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
背景情况:
- 了解功能性大脑网络的神经元基础及其实时行为相关性仍然是一个挑战.
- 现有的方法通常通过分析单个频段来掩盖网络动态.
研究的目的:
- 研究功能网络的动态,大脑范围内的神经元支柱.
- 探索神经活动模式与并发的自然主义行为之间的关系.
主要方法:
- 从正在接受评估的清醒受试者的内脑电图 (iEEG) 记录的分析.
- 同时视频监控以将神经活动与行为相关联.
- 检查功率光谱密度 (PSD) 和它们在大脑区域之间的切换动态.
主要成果:
- 发现了一种新的"光谱切换"现象,其中大脑区域在两个不同的PSD (2-55Hz) 之间交替.
- 在遥远的大脑区域之间展示了同步的光谱切换,揭示了远程功能网络.
- 展示了网络切换动态与对话和手动等自然行为实时对齐.
- 观察到跨日稳定的网络结构,在N3睡眠期间发生变化.
结论:
- 引入了一个新的框架,以了解基于光谱切换的实时,大脑范围的神经网络动态.
- 强调了这种方法能够揭示传统分析所掩盖的功能网络的能力.
- 提供了多线程神经对并发行为表示的证据.
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