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Sex differences in the functional topography of association networks in youth
Prior work has shown that there is substantial interindividual variation in the spatial distribution of functional networks across the cerebral cortex, or functional topography. However, it remains unknown whether there are sex differences in the topography of individualized networks in youth. Here,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388107/ https://www.ncbi.nlm.nih.gov/pubmed/35939696 http://dx.doi.org/10.1073/pnas.2110416119 |
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author | Shanmugan, Sheila Seidlitz, Jakob Cui, Zaixu Adebimpe, Azeez Bassett, Danielle S. Bertolero, Maxwell A. Davatzikos, Christos Fair, Damien A. Gur, Raquel E. Gur, Ruben C. Larsen, Bart Li, Hongming Pines, Adam Raznahan, Armin Roalf, David R. Shinohara, Russell T. Vogel, Jacob Wolf, Daniel H. Fan, Yong Alexander-Bloch, Aaron Satterthwaite, Theodore D. |
author_facet | Shanmugan, Sheila Seidlitz, Jakob Cui, Zaixu Adebimpe, Azeez Bassett, Danielle S. Bertolero, Maxwell A. Davatzikos, Christos Fair, Damien A. Gur, Raquel E. Gur, Ruben C. Larsen, Bart Li, Hongming Pines, Adam Raznahan, Armin Roalf, David R. Shinohara, Russell T. Vogel, Jacob Wolf, Daniel H. Fan, Yong Alexander-Bloch, Aaron Satterthwaite, Theodore D. |
author_sort | Shanmugan, Sheila |
collection | PubMed |
description | Prior work has shown that there is substantial interindividual variation in the spatial distribution of functional networks across the cerebral cortex, or functional topography. However, it remains unknown whether there are sex differences in the topography of individualized networks in youth. Here, we leveraged an advanced machine learning method (sparsity-regularized non-negative matrix factorization) to define individualized functional networks in 693 youth (ages 8 to 23 y) who underwent functional MRI as part of the Philadelphia Neurodevelopmental Cohort. Multivariate pattern analysis using support vector machines classified participant sex based on functional topography with 82.9% accuracy (P < 0.0001). Brain regions most effective in classifying participant sex belonged to association networks, including the ventral attention, default mode, and frontoparietal networks. Mass univariate analyses using generalized additive models with penalized splines provided convergent results. Furthermore, transcriptomic data from the Allen Human Brain Atlas revealed that sex differences in multivariate patterns of functional topography were spatially correlated with the expression of genes on the X chromosome. These results highlight the role of sex as a biological variable in shaping functional topography. |
format | Online Article Text |
id | pubmed-9388107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-93881072022-08-19 Sex differences in the functional topography of association networks in youth Shanmugan, Sheila Seidlitz, Jakob Cui, Zaixu Adebimpe, Azeez Bassett, Danielle S. Bertolero, Maxwell A. Davatzikos, Christos Fair, Damien A. Gur, Raquel E. Gur, Ruben C. Larsen, Bart Li, Hongming Pines, Adam Raznahan, Armin Roalf, David R. Shinohara, Russell T. Vogel, Jacob Wolf, Daniel H. Fan, Yong Alexander-Bloch, Aaron Satterthwaite, Theodore D. Proc Natl Acad Sci U S A Biological Sciences Prior work has shown that there is substantial interindividual variation in the spatial distribution of functional networks across the cerebral cortex, or functional topography. However, it remains unknown whether there are sex differences in the topography of individualized networks in youth. Here, we leveraged an advanced machine learning method (sparsity-regularized non-negative matrix factorization) to define individualized functional networks in 693 youth (ages 8 to 23 y) who underwent functional MRI as part of the Philadelphia Neurodevelopmental Cohort. Multivariate pattern analysis using support vector machines classified participant sex based on functional topography with 82.9% accuracy (P < 0.0001). Brain regions most effective in classifying participant sex belonged to association networks, including the ventral attention, default mode, and frontoparietal networks. Mass univariate analyses using generalized additive models with penalized splines provided convergent results. Furthermore, transcriptomic data from the Allen Human Brain Atlas revealed that sex differences in multivariate patterns of functional topography were spatially correlated with the expression of genes on the X chromosome. These results highlight the role of sex as a biological variable in shaping functional topography. National Academy of Sciences 2022-08-08 2022-08-16 /pmc/articles/PMC9388107/ /pubmed/35939696 http://dx.doi.org/10.1073/pnas.2110416119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Shanmugan, Sheila Seidlitz, Jakob Cui, Zaixu Adebimpe, Azeez Bassett, Danielle S. Bertolero, Maxwell A. Davatzikos, Christos Fair, Damien A. Gur, Raquel E. Gur, Ruben C. Larsen, Bart Li, Hongming Pines, Adam Raznahan, Armin Roalf, David R. Shinohara, Russell T. Vogel, Jacob Wolf, Daniel H. Fan, Yong Alexander-Bloch, Aaron Satterthwaite, Theodore D. Sex differences in the functional topography of association networks in youth |
title | Sex differences in the functional topography of association networks in youth |
title_full | Sex differences in the functional topography of association networks in youth |
title_fullStr | Sex differences in the functional topography of association networks in youth |
title_full_unstemmed | Sex differences in the functional topography of association networks in youth |
title_short | Sex differences in the functional topography of association networks in youth |
title_sort | sex differences in the functional topography of association networks in youth |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388107/ https://www.ncbi.nlm.nih.gov/pubmed/35939696 http://dx.doi.org/10.1073/pnas.2110416119 |
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