在大脑皮层中,外和相内在合模式的结构基础
Arnaud Messé1, Karl J Hollensteiner2, Céline Delettre3
1Institute of Computational Neuroscience, Hamburg Center of Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg University, Martinistraße 52, Hamburg 20246, Germany.
NeuroImage
|June 3, 2023
概括
大脑活动显示与结构连接 (SC) 相关的内在合模式 (ICMs). 阶段和外ICM都与SC联系在一起,在更高的频率下有更强的相关性,揭示了关键的结构-功能关系.
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:
- 内在合模式 (ICMs) 在不同尺度的持续大脑活动中观察到.
- 存在两种主要类型的ICM:相位ICM和封面ICM.
- ICMs与潜在的大脑结构之间的关系尚未完全理解.
研究的目的:
- 为了研究ICMs和子大脑中的结构连接 (SC) 之间的结构功能关系.
- 探索计算模型如何根据SC预测ICM.
- 分析对体积传导效应敏感和不敏感的ICM.
主要方法:
- 从小黑猩猩的微观ECoG记录中得到量化的ICM.
- 使用扩散MRI通道图获得结构连接性 (SC).
- 使用大规模的计算模型来预测ICM.
主要成果:
- 阶段ICM和外ICM都与SC有显著的相关性,除了移除零滞后合时的阶段ICM.
- 随着频率的增加,SC和ICM之间的相关性会越来越强.
- 计算模型显示了高度的参数依赖性;基于SC的测量结果产生了最一致的预测.
结论:
- 皮层功能合模式,反映在相位和外ICM中,与结构连接性有关.
- 这种关系的程度在ICM类型之间有所不同.
- SC为理解大规模的功能性大脑动态提供了基础.
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