Literature DB >> 35393594

Common variants contribute to intrinsic human brain functional networks.

Bingxin Zhao1, Tengfei Li2,3, Stephen M Smith4, Di Xiong5, Xifeng Wang5, Yue Yang5, Tianyou Luo5, Ziliang Zhu5, Yue Shan5, Nana Matoba6,7, Quan Sun5, Yuchen Yang6, Mads E Hauberg8,9,10,11, Jaroslav Bendl8,9,12, John F Fullard8,9,12, Panagiotis Roussos8,9,10,12,13, Weili Lin3,4, Yun Li5,6,14, Jason L Stein6,7, Hongtu Zhu15,16,17.   

Abstract

The human brain forms functional networks of correlated activity, which have been linked with both cognitive and clinical outcomes. However, the genetic variants affecting brain function are largely unknown. Here, we used resting-state functional magnetic resonance images from 47,276 individuals to discover and validate common genetic variants influencing intrinsic brain activity. We identified 45 new genetic regions associated with brain functional signatures (P < 2.8 × 10-11), including associations to the central executive, default mode, and salience networks involved in the triple-network model of psychopathology. A number of brain activity-associated loci colocalized with brain disorders (e.g., the APOE ε4 locus with Alzheimer's disease). Variation in brain function was genetically correlated with brain disorders, such as major depressive disorder and schizophrenia. Together, our study provides a step forward in understanding the genetic architecture of brain functional networks and their genetic links to brain-related complex traits and disorders.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2022        PMID: 35393594     DOI: 10.1038/s41588-022-01039-6

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  90 in total

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Authors:  Martijn P van den Heuvel; Olaf Sporns
Journal:  Trends Cogn Sci       Date:  2013-12       Impact factor: 20.229

2.  Correspondence of the brain's functional architecture during activation and rest.

Authors:  Stephen M Smith; Peter T Fox; Karla L Miller; David C Glahn; P Mickle Fox; Clare E Mackay; Nicola Filippini; Kate E Watkins; Roberto Toro; Angela R Laird; Christian F Beckmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-20       Impact factor: 11.205

3.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity.

Authors:  B T Thomas Yeo; Fenna M Krienen; Jorge Sepulcre; Mert R Sabuncu; Danial Lashkari; Marisa Hollinshead; Joshua L Roffman; Jordan W Smoller; Lilla Zöllei; Jonathan R Polimeni; Bruce Fischl; Hesheng Liu; Randy L Buckner
Journal:  J Neurophysiol       Date:  2011-06-08       Impact factor: 2.714

Review 4.  Large-scale brain networks and psychopathology: a unifying triple network model.

Authors:  Vinod Menon
Journal:  Trends Cogn Sci       Date:  2011-09-09       Impact factor: 20.229

5.  The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism.

Authors:  Vinod Menon
Journal:  Biol Psychiatry       Date:  2018-08-15       Impact factor: 13.382

Review 6.  Brain Networks and Cognitive Architectures.

Authors:  Steven E Petersen; Olaf Sporns
Journal:  Neuron       Date:  2015-10-07       Impact factor: 17.173

Review 7.  Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know.

Authors:  H Lv; Z Wang; E Tong; L M Williams; G Zaharchuk; M Zeineh; A N Goldstein-Piekarski; T M Ball; C Liao; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-18       Impact factor: 3.825

8.  Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

Authors:  Fidel Alfaro-Almagro; Mark Jenkinson; Neal K Bangerter; Jesper L R Andersson; Ludovica Griffanti; Gwenaëlle Douaud; Stamatios N Sotiropoulos; Saad Jbabdi; Moises Hernandez-Fernandez; Emmanuel Vallee; Diego Vidaurre; Matthew Webster; Paul McCarthy; Christopher Rorden; Alessandro Daducci; Daniel C Alexander; Hui Zhang; Iulius Dragonu; Paul M Matthews; Karla L Miller; Stephen M Smith
Journal:  Neuroimage       Date:  2017-10-24       Impact factor: 6.556

9.  Resting-state network dysfunction in Alzheimer's disease: A systematic review and meta-analysis.

Authors:  AmanPreet Badhwar; Angela Tam; Christian Dansereau; Pierre Orban; Felix Hoffstaedter; Pierre Bellec
Journal:  Alzheimers Dement (Amst)       Date:  2017-04-18

10.  Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.

Authors:  Emily S Finn; Xilin Shen; Dustin Scheinost; Monica D Rosenberg; Jessica Huang; Marvin M Chun; Xenophon Papademetris; R Todd Constable
Journal:  Nat Neurosci       Date:  2015-10-12       Impact factor: 24.884

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  2 in total

1.  Clinical opportunity awaits at the intersection of genomics and brain imaging.

Authors:  Carolina Makowski; Hao Wang; Chi-Hua Chen
Journal:  J Psychiatry Neurosci       Date:  2022-08-10       Impact factor: 5.699

2.  Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency.

Authors:  Steven Bell; Daniel J Tozer; Hugh S Markus
Journal:  Sci Rep       Date:  2022-09-02       Impact factor: 4.996

  2 in total

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