Journal Article

FZJ-2021-05859

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Genetic influences on hub connectivity of the human connectome

Arnatkeviciute, A. (Corresponding author) ; Fulcher, B. D. ; Oldham, S. ; Tiego, J. ; Paquola, C.FZJ* ; Gerring, Z. ; Aquino, K. ; Hawi, Z. ; Johnson, B. ; Ball, G. ; Klein, M. ; Deco, G. ; Franke, B. ; Bellgrove, M. A. ; Fornito, A.

2021
Nature Publishing Group UK [London]

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Please use a persistent id in citations: http://hdl.handle.net/2128/29745  doi:10.1038/s41467-021-24306-2

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.

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Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)
2. HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) (InterLabs-0015)

Appears in the scientific report 2021

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