通过高频自身模式揭示的跨模体皮质中增强的大脑结构-功能连接
Yaqian Yang1,2, Zhiming Zheng2,3,4,5,6,7,8,9, Longzhao Liu2,3,4,5,6,7
1School of Mathematical Sciences, Beihang University, Beijing, 100191, China.
Nature communications
|October 24, 2023
概括
由于低频信号,大脑结构和功能在跨模态皮质中分离. 然而,高频信号促进了收,这表明脱不是固有的,而是受到神经通信模式的影响.
科学领域:
- 神经科学是一个神经科学.
- 大脑的连接性 大脑的连接性
- 系统神经科学 系统神经科学
背景情况:
- 大脑结构和功能之间的关系是复杂的.
- 一个普遍的假设表明,结构-功能关系的脱从单模体到跨模体皮质.
- 现有的模型可能忽略了理解这种关系的关键信息.
研究的目的:
- 研究大脑结构和功能连接之间的关系.
- 探索频率特定的扩散模式在调节结构功能关系中的作用.
- 为了测试在皮层层次结构中结构-功能脱的假设.
主要方法:
- 使用扩散MRI和功能MRI数据,将结构和功能连接性联系起来.
- 采用直角固有模式来分析特定频率的扩散模式.
- 检查低频和高频自身模式对皮质相互作用的影响.
主要成果:
- 低频固有模式对跨模态皮质中的功能相互作用做出最小的贡献,导致结构-功能关系的分歧.
- 高频固有模式支持跨模式区域的神经元协作激活,促进结构-功能融合.
- 高频信息增强了结构-功能连接,特别是在跨模态关联皮层中.
结论:
- 观察到的结构功能脱可能不是大脑组织的内在属性.
- 多重复合和区域专业的时空传播模式可以调节结构功能脱的程度.
- 这些发现提供了关于大脑组织和皮质区域之间的连接的细微视角.
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