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Brainnetome atlas of preadolescent children based on anatomical connectivity profiles
During the preadolescent period, when the cerebral thickness, curvature, and myelin are constantly changing, the brain's regionalization patterns underwent persistent development, contributing to the continuous improvements of various higher cognitive functions. Using a brain atlas to study the...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151881/ https://www.ncbi.nlm.nih.gov/pubmed/36255322 http://dx.doi.org/10.1093/cercor/bhac415 |
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author | Li, Wen Fan, Lingzhong Shi, Weiyang Lu, Yuheng Li, Jin Luo, Na Wang, Haiyan Chu, Congying Ma, Liang Song, Ming Li, Kaixin Cheng, Luqi Cao, Long Jiang, Tianzi |
author_facet | Li, Wen Fan, Lingzhong Shi, Weiyang Lu, Yuheng Li, Jin Luo, Na Wang, Haiyan Chu, Congying Ma, Liang Song, Ming Li, Kaixin Cheng, Luqi Cao, Long Jiang, Tianzi |
author_sort | Li, Wen |
collection | PubMed |
description | During the preadolescent period, when the cerebral thickness, curvature, and myelin are constantly changing, the brain's regionalization patterns underwent persistent development, contributing to the continuous improvements of various higher cognitive functions. Using a brain atlas to study the development of these functions has attracted much attention. However, the brains of children do not always have the same topological patterns as those of adults. Therefore, age-specific brain mapping is particularly important, serving as a basic and indispensable tool to study the normal development of children. In this study, we took advantage of longitudinal data to create the brain atlas specifically for preadolescent children. The resulting human Child Brainnetome Atlas, with 188 cortical and 36 subcortical subregions, provides a precise period-specific and cross-validated version of the brain atlas that is more appropriate for adoption in the preadolescent period. In addition, we compared and illustrated for regions with different topological patterns in the child and adult atlases, providing a topologically consistent reference for subsequent research studying child and adolescent development. |
format | Online Article Text |
id | pubmed-10151881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101518812023-05-03 Brainnetome atlas of preadolescent children based on anatomical connectivity profiles Li, Wen Fan, Lingzhong Shi, Weiyang Lu, Yuheng Li, Jin Luo, Na Wang, Haiyan Chu, Congying Ma, Liang Song, Ming Li, Kaixin Cheng, Luqi Cao, Long Jiang, Tianzi Cereb Cortex Original Article During the preadolescent period, when the cerebral thickness, curvature, and myelin are constantly changing, the brain's regionalization patterns underwent persistent development, contributing to the continuous improvements of various higher cognitive functions. Using a brain atlas to study the development of these functions has attracted much attention. However, the brains of children do not always have the same topological patterns as those of adults. Therefore, age-specific brain mapping is particularly important, serving as a basic and indispensable tool to study the normal development of children. In this study, we took advantage of longitudinal data to create the brain atlas specifically for preadolescent children. The resulting human Child Brainnetome Atlas, with 188 cortical and 36 subcortical subregions, provides a precise period-specific and cross-validated version of the brain atlas that is more appropriate for adoption in the preadolescent period. In addition, we compared and illustrated for regions with different topological patterns in the child and adult atlases, providing a topologically consistent reference for subsequent research studying child and adolescent development. Oxford University Press 2022-10-18 /pmc/articles/PMC10151881/ /pubmed/36255322 http://dx.doi.org/10.1093/cercor/bhac415 Text en © The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Li, Wen Fan, Lingzhong Shi, Weiyang Lu, Yuheng Li, Jin Luo, Na Wang, Haiyan Chu, Congying Ma, Liang Song, Ming Li, Kaixin Cheng, Luqi Cao, Long Jiang, Tianzi Brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
title | Brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
title_full | Brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
title_fullStr | Brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
title_full_unstemmed | Brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
title_short | Brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
title_sort | brainnetome atlas of preadolescent children based on anatomical connectivity profiles |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151881/ https://www.ncbi.nlm.nih.gov/pubmed/36255322 http://dx.doi.org/10.1093/cercor/bhac415 |
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