Genetic influences on hub connectivity of the human connectome.
IF: 17.694
Cited by: 22


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.


Gene Expression

MeSH terms

Datasets as Topic
Diffusion Magnetic Resonance Imaging
Gene Expression Profiling
Gene Regulatory Networks
Models, Genetic
Nerve Net


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

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