跳到主要导航 跳到搜索 跳到主要内容

Leading basic modes of spontaneous activity drive individual functional connectivity organization in the resting human brain

  • Xi Chen
  • , Haoda Ren
  • , Zhonghua Tang
  • , Ke Zhou
  • , Liqin Zhou
  • , Zhentao Zuo
  • , Xiaohua Cui
  • , Xiaosong Chen
  • , Zonghua Liu
  • , Yong He
  • , Xuhong Liao*
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Spontaneous activity of the human brain provides a window to explore intrinsic principles of functional organization. However, most studies have focused on interregional functional connectivity. The principles underlying rich repertoires of instantaneous activity remain largely unknown. We apply a recently proposed eigen-microstate analysis to three resting-state functional MRI datasets to identify basic modes that represent fundamental activity patterns that coexist over time. We identify five leading basic modes that dominate activity fluctuations. Each mode exhibits a distinct functional system-dependent coactivation pattern and corresponds to specific cognitive profiles. In particular, the spatial pattern of the first leading basis mode shows the separation of activity between the default-mode and primary and attention regions. Based on theoretical modelling, we further reconstruct individual functional connectivity as the weighted superposition of coactivation patterns corresponding to these leading basic modes. Moreover, these leading basic modes capture sleep deprivation-induced changes in brain activity and interregional connectivity, primarily involving the default-mode and task-positive regions. Our findings reveal a dominant set of basic modes of spontaneous activity that reflect multiplexed interregional coordination and drive conventional functional connectivity, furthering the understanding of the functional significance of spontaneous brain activity.

源语言英语
文章编号892
期刊Communications Biology
6
1
DOI
出版状态已出版 - 12月 2023

指纹

探究 'Leading basic modes of spontaneous activity drive individual functional connectivity organization in the resting human brain' 的科研主题。它们共同构成独一无二的指纹。

引用此