Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition

• 成果类型: Article
• 署名作者: Yang, Hang; Wu, Guowei; Li, Yaoxin; Xu, Xiaoyu; Cong, Jing; Xu, Haoshu; Ma, Yiyao; Li, Yang; Chen, Runsen; Pines, Adam; Xu, Ting; Sydnor, Valerie J.; Satterthwaite, Theodore D.; Cui, Zaixu
• 署名单位: Chinese Academy of Medical Sciences - Peking Union Medical College; Peking Union Medical College; Chinese Institute for Brain Research, Beijing; Chinese Academy of Sciences; Institute of Psychology, CAS; University of Michigan System; University of Michigan; Beijing Normal University; Peking University; Tsinghua University; Stanford University; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; University of Pennsylvania; University of Pennsylvania
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-8507
• DOI: 10.1073/pnas.2420228122
• 发表日期: 2025-03-25
• 关键词: human brain networks; association networks; connectome; ORGANIZATION; topography; SYSTEM; scores; cortex

摘要

The human cerebral cortex exhibits intricate interareal functional synchronization at the macroscale, with substantial individual variability in these functional connections. However, the spatial organization of functional connectivity (FC) variability across the human connectome edges and its significance in cognitive development remain unclear. Here, we identified a connectional axis in the edge-level FC variability. The variability declined continuously along this axis from within-network to between-network connections and from the edges linking association networks to those linking the sensorimotor and association networks. This connectional axis of functional variability is associated with spatial pattern of structural connectivity variability. Moreover, the connectional variability axis evolves in youth with an flatter axis slope. We also observed that the slope of the connectional variability axis was positively related to the performance in the higher-order cognition. Together, our results reveal a connectional axis in functional variability that is linked with structural connectome variability, refines during development, and is relevant to cognition.