Genetic influences on hub connectivity of the human connectome

Aurina Arnatkeviciute, Ben D. Fulcher, Stuart Oldham, Jeggan Tiego, Casey Paquola, Zachary Gerring, Kevin Aquino, Ziarih Hawi, Beth Johnson, Gareth Ball, Marieke Klein, Gustavo Deco, Barbara Franke, Mark A. Bellgrove, Alex Fornito

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

Brain network hubs are both highly connected and highly inter-connected, forming a critical communication backbone for coherent neural dynamics. The mechanisms driving this organization are poorly understood. Using diffusion-weighted magnetic resonance imaging in twins, we identify a major role for genes, showing that they preferentially influence connectivity strength between network hubs of the human connectome. Using transcriptomic atlas data, we show that connected hubs demonstrate tight coupling of transcriptional activity related to metabolic and cytoarchitectonic similarity. Finally, comparing over thirteen generative models of network growth, we show that purely stochastic processes cannot explain the precise wiring patterns of hubs, and that model performance can be improved by incorporating genetic constraints. Our findings indicate that genes play a strong and preferential role in shaping the functionally valuable, metabolically costly connections between connectome hubs.

Original languageEnglish
Article number4237
Number of pages14
JournalNature Communications
Volume12
Issue number1
DOIs
Publication statusPublished - 9 Jul 2021

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