通过大脑网络的周期性振荡信息流是皮层范围内的神经元雪崩的基础
Yin Shing Lam1, Yun Zhu2, Jing-Ning Zhu3
1School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong.
NeuroImage
|November 15, 2025
概括
大脑网络使用神经元雪崩来处理信息. 特定的大脑波频率与大脑皮层的信息流连接在一起,影响雪崩活动和大脑通信.
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:
- 大脑依赖于功能神经网络内部和之间进行的通信来处理信息.
- 在大脑临界状态附近发生的神经雪崩,被认为可以优化信息容量.
- 功能网络和神经元雪崩之间的相互作用尚未得到充分理解.
研究的目的:
- 为了研究功能神经网络和神经雪崩之间的关系.
- 探索信息如何通过皮质梯度流动,与大脑范围的雪崩有关.
- 阐明振荡活动在调解雪崩动态中的作用.
主要方法:
- 对人类磁脑电图 (MEG) 数据的分析.
- 检查皮层范围的雪崩和振荡阶段.
- 神经振荡和雪崩生成的计算建模.
主要成果:
- 在特定频段的皮层范围内的雪崩与沿前后皮层梯度的信息流相关.
- 网络枢纽的振荡活动中的远程记忆影响了全球雪崩动态.
- 计算机模型显示,网络枢纽的周期性振荡可以产生雪崩.
结论:
- 这项研究将功能网络和神经元雪崩整合到一个统一的框架中.
- 振荡信息流提供了关于神经元雪崩如何促进皮层通信的机械洞察.
- 大脑活动频率对神经通信具有重要意义,并对神经精神疾病有影响.
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