从单个配置的人类连接组合振荡器模型中出现多个自发连贯子网络
Felipe A Torres1, Mónica Otero2,3, Caroline A Lea-Carnall4,5
1Departamento de Computación e Industrias, Facultad de Ciencias de la Ingeniería, Universidad Católica del Maule, Talca, Chile.
Scientific reports
|December 27, 2024
概括
大脑是大脑的大脑.
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.
- 网络科学 网络科学
背景情况:
- 神经成像信号中的多态转移稳定性表明大脑的动态灵活性.
- 了解这些大脑网络过渡对于认知灵活性至关重要.
研究的目的:
- 在大脑网络中建模和识别最大限度地提高多状态转移稳定的参数.
- 探索模拟的转移稳定性和经验神经成像数据之间的关系.
主要方法:
- 模拟了一个由90个节点组成的库拉莫托网络,与人类大脑的结构连接,优势和延迟.
- 确定了全球合和延迟参数,最大限度地提高光谱作为转移稳定的代理.
- 分析了特定频率的连贯子网络的出现和持续时间.
主要成果:
- 在特定的全球合和延迟参数下实现了最大的多状态元稳定性.
- 自发出现的子网络持续了1404300毫秒,与静止状态神经成像数据拓结构保持一致.
- 健康参与者的EEG光谱与最大转移稳定性相关,而睡眠/麻醉光谱没有.
结论:
- 功能性大脑网络中的灵活,多态元稳定动态源于结构拓和连接延迟之间的相互作用.
- 这个模型为研究认知灵活性机制提供了一个框架.
- 这些发现将大脑动态的计算模型与不同大脑状态的经验观测联系起来.
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