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Mapping Complex Brain Torque Components and Their Genetic and Phenomic Architecture in 24,112 healthy individuals

Lu Zhao, William Matloff, Yonggang Shi, Ryan P. Cabeen, View ORCID ProfileArthur W. Toga
doi: https://doi.org/10.1101/2021.03.09.434625
Lu Zhao
1Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA USA
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  • For correspondence: [email protected]
William Matloff
1Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA USA
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Yonggang Shi
1Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA USA
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Ryan P. Cabeen
1Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA USA
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Arthur W. Toga
1Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA USA
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  • ORCID record for Arthur W. Toga
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Abstract

The mechanisms determining the development and individual variability of brain torque (BT) remain unclear. Here, all relevant components of BT were analyzed using neuroimaging data of up to 24,112 individuals from 6 cohorts. Our large-scale data confirmed the population-level predominance of the typical anticlockwise torque and suggested a “first attenuating, then enlarging” dynamic across the lifespan primarily for frontal, occipital and perisylvian BT features. Sex/handedness differences in BT were found and were related to cognitive sex/handedness differences in verbal-numerical reasoning. We observed differential heritability of up to 56% for BT, especially in temporal language areas, and identified numerous genome- and phenome-wide significant associations pointing to neurodevelopment, cognitive functions, lifestyle, neurological and psychiatric disorders, sociodemographic, cardiovascular and anthropometric traits. This study provides a comprehensive description of BT and insights into biological and other factors that may contribute to the development and individual variations of BT.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Adding comparison with recent large-scale studies of brain skew and genetic architecture of morphometric brain asymmetry. Correcting for errors in Figure 1-C, 3-A and 4-A. Adding Figure 8 and Extended Data Figure 1.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 30, 2021.
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Mapping Complex Brain Torque Components and Their Genetic and Phenomic Architecture in 24,112 healthy individuals
Lu Zhao, William Matloff, Yonggang Shi, Ryan P. Cabeen, Arthur W. Toga
bioRxiv 2021.03.09.434625; doi: https://doi.org/10.1101/2021.03.09.434625
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Mapping Complex Brain Torque Components and Their Genetic and Phenomic Architecture in 24,112 healthy individuals
Lu Zhao, William Matloff, Yonggang Shi, Ryan P. Cabeen, Arthur W. Toga
bioRxiv 2021.03.09.434625; doi: https://doi.org/10.1101/2021.03.09.434625

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