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Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder
OBJECTIVE: The present study used magnetic resonance imaging to investigate the difference in the relationship between gray matter structure and age in children and adolescents with autism spectrum disorder (ASD) and typically developing (TD) subjects. METHODS: After screening T1 structural images f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853167/ https://www.ncbi.nlm.nih.gov/pubmed/36684838 http://dx.doi.org/10.3389/fnhum.2022.1039590 |
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author | Sun, Fenfen Chen, Yue Huang, Yingwen Yan, Jing Chen, Yihong |
author_facet | Sun, Fenfen Chen, Yue Huang, Yingwen Yan, Jing Chen, Yihong |
author_sort | Sun, Fenfen |
collection | PubMed |
description | OBJECTIVE: The present study used magnetic resonance imaging to investigate the difference in the relationship between gray matter structure and age in children and adolescents with autism spectrum disorder (ASD) and typically developing (TD) subjects. METHODS: After screening T1 structural images from the Autism Brain Imaging Data Exchange (ABIDE) database, 111 children and adolescents (7–18 years old) with high-functioning ASD and 151 TD subjects matched for age, sex and full IQ were included in the current study. By using the voxel-based morphological analysis method, gray matter volume/density (GMV/GMD) maps were obtained for each participant. Then, a multiple regression analysis was performed for ASD and TD groups, respectively to estimate the relationship between GMV/GMD and age with gender, education, site, and IQ scores as covariates. Furthermore, a z-test was used to compare such relationship difference between the groups. RESULTS: Results showed that compared with TD, the GMD of ASD showed stronger positive correlations with age in the prefrontal cortex, and a stronger negative correlation in the left inferior parietal lobule, and a weaker positive correlation in the right inferior parietal lobule. The GMV of ASD displayed stronger positive correlations with age in the prefrontal cortex and cerebellum. CONCLUSION: These findings may provide evidence to support that the brain structure abnormalities underlying ASD during childhood and adolescence may differ from each other. |
format | Online Article Text |
id | pubmed-9853167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98531672023-01-21 Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder Sun, Fenfen Chen, Yue Huang, Yingwen Yan, Jing Chen, Yihong Front Hum Neurosci Neuroscience OBJECTIVE: The present study used magnetic resonance imaging to investigate the difference in the relationship between gray matter structure and age in children and adolescents with autism spectrum disorder (ASD) and typically developing (TD) subjects. METHODS: After screening T1 structural images from the Autism Brain Imaging Data Exchange (ABIDE) database, 111 children and adolescents (7–18 years old) with high-functioning ASD and 151 TD subjects matched for age, sex and full IQ were included in the current study. By using the voxel-based morphological analysis method, gray matter volume/density (GMV/GMD) maps were obtained for each participant. Then, a multiple regression analysis was performed for ASD and TD groups, respectively to estimate the relationship between GMV/GMD and age with gender, education, site, and IQ scores as covariates. Furthermore, a z-test was used to compare such relationship difference between the groups. RESULTS: Results showed that compared with TD, the GMD of ASD showed stronger positive correlations with age in the prefrontal cortex, and a stronger negative correlation in the left inferior parietal lobule, and a weaker positive correlation in the right inferior parietal lobule. The GMV of ASD displayed stronger positive correlations with age in the prefrontal cortex and cerebellum. CONCLUSION: These findings may provide evidence to support that the brain structure abnormalities underlying ASD during childhood and adolescence may differ from each other. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9853167/ /pubmed/36684838 http://dx.doi.org/10.3389/fnhum.2022.1039590 Text en Copyright © 2023 Sun, Chen, Huang, Yan and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Sun, Fenfen Chen, Yue Huang, Yingwen Yan, Jing Chen, Yihong Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
title | Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
title_full | Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
title_fullStr | Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
title_full_unstemmed | Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
title_short | Relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
title_sort | relationship between gray matter structure and age in children and adolescents with high-functioning autism spectrum disorder |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853167/ https://www.ncbi.nlm.nih.gov/pubmed/36684838 http://dx.doi.org/10.3389/fnhum.2022.1039590 |
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