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Proceedings of the National Academy of SciencesNeurosciencePeer-reviewed journal article

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

Hang YangiD, Guowei WuiD, Yaoxin LiiD, Xiaoyu XuiD, Jing CongiD, Haoshu XuiD, Yiyao MaiD, Li YangiD, Runsen CheniD, Adam Robert PinesiD, Ting XuiD, Valerie J. SydnoriD, Theodore Daniel SatterthwaiteiD, Zaixu CuiiD

PDFDOIPreprint

Abstract

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 increasing flatter axis slope. We also observed that the slope of 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. Significance StatementUnderstanding the spatial organization of inter-individual variability in functional connectivity across the human connectome can offer insights into which connections are most susceptible to insults and interventions. We identify a stable axis on functional connectome along which connectivity variability continuously varies, aligning with structural connectivity variability. We find that the pattern of this axis evolves during development, marked by a decrease in functional connectivity variability among association connections. Moreover, the variability axis is associated with individual differences in higher-order cognitions, driven by increased variability in higher-order association connections linked to enhanced cognitive performance. These findings highlight the importance of connectivity-specific plasticity in understanding both typical and atypical cognitive development across diverse populations.

Citations
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top 1%

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