人类大脑网络与图形神经网络中的结构功能合的群体共同和个体特异效应
Peiyu Chen1,2,3, Hang Yang1,2, Xin Zheng1,2
1Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
大脑结构强烈预测大脑功能,大多数模式在个体之间都是常见的. 然而,存在微妙的个体特异性变异,特别是在关联皮层中,为大脑连接提供了洞察力.
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.
- 脑部成像 脑部成像
背景情况:
- 人类大脑皮层表现出功能分离和同步,由白质结构连接联系在一起.
- 了解群体共同和个体特有的结构-功能合之间的平衡对于认知发展和神经精神疾病至关重要.
研究的目的:
- 调查大脑结构在多大程度上预测了个人的大脑功能.
- 为了确定结构-功能合是否是一个群体共同的特征,还是个别不同.
- 探索在皮层中对联效应的等级组织.
主要方法:
- 利用了两个独立的,高质量的神经成像数据集.
- 使用图形神经网络 (GNN) 来从结构连接中预测功能连接.
- 与传统的相关性方法相比,GNN的表现.
主要成果:
- 图形神经网络准确地从结构连接中预测了个体的功能连接,证明了强大的合.
- 结构功能合主要是由网络拓和超越性能的相关联方法驱动的.
- 合效应主要是群体共同的,具有显著的,尽管微妙的,个人特有的组成部分.
- 区域合效应显示了沿传感运动-关联轴的层次组织,在关联皮层中具有更高的个体效应.
结论:
- 大脑结构-功能合是一种强大的现象,在很大程度上是个体共享的.
- 结构-功能合的个体差异是微妙的,但显著的和分层组织.
- 考虑团体和个人合效应对于理解大脑组织和个体变异性至关重要.
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