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Genetic influences on hub connectivity of the human connectome
by
Oldham, Stuart
, Hawi, Ziarih
, Deco, Gustavo
, Ball, Gareth
, Fulcher, Ben D.
, Klein, Marieke
, Johnson, Beth
, Aquino, Kevin
, Fornito, Alex
, Franke, Barbara
, Gerring, Zachary
, Arnatkeviciute, Aurina
, Tiego, Jeggan
, Bellgrove, Mark A.
, Paquola, Casey
in
631/378/116
/ 631/378/2583
/ 631/378/3920
/ Adult
/ Brain
/ Brain - diagnostic imaging
/ Brain - physiology
/ Brain architecture
/ Connectome
/ Datasets as Topic
/ Diffusion Magnetic Resonance Imaging
/ Female
/ Gene Expression Profiling
/ Gene Regulatory Networks
/ Genes
/ Hubs
/ Humanities and Social Sciences
/ Humans
/ Magnetic resonance imaging
/ Male
/ Models, Genetic
/ multidisciplinary
/ Nerve Net - physiology
/ Network hubs
/ Neural networks
/ Neuroimaging
/ Science
/ Science (multidisciplinary)
/ Stochastic processes
/ Transcription
/ Twins
/ Wiring
2021
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Genetic influences on hub connectivity of the human connectome
by
Oldham, Stuart
, Hawi, Ziarih
, Deco, Gustavo
, Ball, Gareth
, Fulcher, Ben D.
, Klein, Marieke
, Johnson, Beth
, Aquino, Kevin
, Fornito, Alex
, Franke, Barbara
, Gerring, Zachary
, Arnatkeviciute, Aurina
, Tiego, Jeggan
, Bellgrove, Mark A.
, Paquola, Casey
in
631/378/116
/ 631/378/2583
/ 631/378/3920
/ Adult
/ Brain
/ Brain - diagnostic imaging
/ Brain - physiology
/ Brain architecture
/ Connectome
/ Datasets as Topic
/ Diffusion Magnetic Resonance Imaging
/ Female
/ Gene Expression Profiling
/ Gene Regulatory Networks
/ Genes
/ Hubs
/ Humanities and Social Sciences
/ Humans
/ Magnetic resonance imaging
/ Male
/ Models, Genetic
/ multidisciplinary
/ Nerve Net - physiology
/ Network hubs
/ Neural networks
/ Neuroimaging
/ Science
/ Science (multidisciplinary)
/ Stochastic processes
/ Transcription
/ Twins
/ Wiring
2021
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Do you wish to request the book?
Genetic influences on hub connectivity of the human connectome
by
Oldham, Stuart
, Hawi, Ziarih
, Deco, Gustavo
, Ball, Gareth
, Fulcher, Ben D.
, Klein, Marieke
, Johnson, Beth
, Aquino, Kevin
, Fornito, Alex
, Franke, Barbara
, Gerring, Zachary
, Arnatkeviciute, Aurina
, Tiego, Jeggan
, Bellgrove, Mark A.
, Paquola, Casey
in
631/378/116
/ 631/378/2583
/ 631/378/3920
/ Adult
/ Brain
/ Brain - diagnostic imaging
/ Brain - physiology
/ Brain architecture
/ Connectome
/ Datasets as Topic
/ Diffusion Magnetic Resonance Imaging
/ Female
/ Gene Expression Profiling
/ Gene Regulatory Networks
/ Genes
/ Hubs
/ Humanities and Social Sciences
/ Humans
/ Magnetic resonance imaging
/ Male
/ Models, Genetic
/ multidisciplinary
/ Nerve Net - physiology
/ Network hubs
/ Neural networks
/ Neuroimaging
/ Science
/ Science (multidisciplinary)
/ Stochastic processes
/ Transcription
/ Twins
/ Wiring
2021
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Genetic influences on hub connectivity of the human connectome
Journal Article
Genetic influences on hub connectivity of the human connectome
2021
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Overview
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.
How genes sculpt the complex architecture of the human connectome remains unclear. Here, the authors show that genes preferentially influence the strength of connectivity between functionally valuable, metabolically costly connections between brain network hubs.
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