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The individuality of shape asymmetries of the human cerebral cortex

Asymmetries of the cerebral cortex are found across diverse phyla and are particularly pronounced in humans, with important implications for brain function and disease. However, many prior studies have confounded asymmetries due to size with those due to shape. Here, we introduce a novel approach to...

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Autores principales: Chen, Yu-Chi, Arnatkevičiūtė, Aurina, McTavish, Eugene, Pang, James C, Chopra, Sidhant, Suo, Chao, Fornito, Alex, Aquino, Kevin M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668337/
https://www.ncbi.nlm.nih.gov/pubmed/36197720
http://dx.doi.org/10.7554/eLife.75056
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author Chen, Yu-Chi
Arnatkevičiūtė, Aurina
McTavish, Eugene
Pang, James C
Chopra, Sidhant
Suo, Chao
Fornito, Alex
Aquino, Kevin M
author_facet Chen, Yu-Chi
Arnatkevičiūtė, Aurina
McTavish, Eugene
Pang, James C
Chopra, Sidhant
Suo, Chao
Fornito, Alex
Aquino, Kevin M
author_sort Chen, Yu-Chi
collection PubMed
description Asymmetries of the cerebral cortex are found across diverse phyla and are particularly pronounced in humans, with important implications for brain function and disease. However, many prior studies have confounded asymmetries due to size with those due to shape. Here, we introduce a novel approach to characterize asymmetries of the whole cortical shape, independent of size, across different spatial frequencies using magnetic resonance imaging data in three independent datasets. We find that cortical shape asymmetry is highly individualized and robust, akin to a cortical fingerprint, and identifies individuals more accurately than size-based descriptors, such as cortical thickness and surface area, or measures of inter-regional functional coupling of brain activity. Individual identifiability is optimal at coarse spatial scales (~37 mm wavelength), and shape asymmetries show scale-specific associations with sex and cognition, but not handedness. While unihemispheric cortical shape shows significant heritability at coarse scales (~65 mm wavelength), shape asymmetries are determined primarily by subject-specific environmental effects. Thus, coarse-scale shape asymmetries are highly personalized, sexually dimorphic, linked to individual differences in cognition, and are primarily driven by stochastic environmental influences.
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spelling pubmed-96683372022-11-17 The individuality of shape asymmetries of the human cerebral cortex Chen, Yu-Chi Arnatkevičiūtė, Aurina McTavish, Eugene Pang, James C Chopra, Sidhant Suo, Chao Fornito, Alex Aquino, Kevin M eLife Neuroscience Asymmetries of the cerebral cortex are found across diverse phyla and are particularly pronounced in humans, with important implications for brain function and disease. However, many prior studies have confounded asymmetries due to size with those due to shape. Here, we introduce a novel approach to characterize asymmetries of the whole cortical shape, independent of size, across different spatial frequencies using magnetic resonance imaging data in three independent datasets. We find that cortical shape asymmetry is highly individualized and robust, akin to a cortical fingerprint, and identifies individuals more accurately than size-based descriptors, such as cortical thickness and surface area, or measures of inter-regional functional coupling of brain activity. Individual identifiability is optimal at coarse spatial scales (~37 mm wavelength), and shape asymmetries show scale-specific associations with sex and cognition, but not handedness. While unihemispheric cortical shape shows significant heritability at coarse scales (~65 mm wavelength), shape asymmetries are determined primarily by subject-specific environmental effects. Thus, coarse-scale shape asymmetries are highly personalized, sexually dimorphic, linked to individual differences in cognition, and are primarily driven by stochastic environmental influences. eLife Sciences Publications, Ltd 2022-10-05 /pmc/articles/PMC9668337/ /pubmed/36197720 http://dx.doi.org/10.7554/eLife.75056 Text en © 2022, Chen et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Chen, Yu-Chi
Arnatkevičiūtė, Aurina
McTavish, Eugene
Pang, James C
Chopra, Sidhant
Suo, Chao
Fornito, Alex
Aquino, Kevin M
The individuality of shape asymmetries of the human cerebral cortex
title The individuality of shape asymmetries of the human cerebral cortex
title_full The individuality of shape asymmetries of the human cerebral cortex
title_fullStr The individuality of shape asymmetries of the human cerebral cortex
title_full_unstemmed The individuality of shape asymmetries of the human cerebral cortex
title_short The individuality of shape asymmetries of the human cerebral cortex
title_sort individuality of shape asymmetries of the human cerebral cortex
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668337/
https://www.ncbi.nlm.nih.gov/pubmed/36197720
http://dx.doi.org/10.7554/eLife.75056
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