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Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study
BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition. Understanding the brain’s microstructure and its relationship to clinical characteristics is important to advance our understanding of the neural supports underlying ASD. In the current work, we implemented Gray-Ma...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817031/ https://www.ncbi.nlm.nih.gov/pubmed/36587584 http://dx.doi.org/10.1016/j.nicl.2022.103306 |
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author | DiPiero, Marissa A. Surgent, Olivia J. Travers, Brittany G. Alexander, Andrew L. Lainhart, Janet E. Dean III, Douglas C. |
author_facet | DiPiero, Marissa A. Surgent, Olivia J. Travers, Brittany G. Alexander, Andrew L. Lainhart, Janet E. Dean III, Douglas C. |
author_sort | DiPiero, Marissa A. |
collection | PubMed |
description | BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition. Understanding the brain’s microstructure and its relationship to clinical characteristics is important to advance our understanding of the neural supports underlying ASD. In the current work, we implemented Gray-Matter Based Spatial Statistics (GBSS) to examine and characterize cortical microstructure and assess differences between typically developing (TD) and autistic males. METHODS: A multi-shell diffusion MRI (dMRI) protocol was acquired from 83 TD and 70 autistic males (5-to-21-years) and fit to the DTI and NODDI models. GBSS was performed for voxelwise analysis of cortical gray matter (GM). General linear models were used to investigate group differences, while age-by-group interactions assessed age-related differences between groups. Within the ASD group, relationships between cortical microstructure and measures of autistic symptoms were investigated. RESULTS: All dMRI measures were significantly associated with age across the GM skeleton. Group differences and age-by-group interactions are reported. Group-wise increases in neurite density in autistic individuals were observed across frontal, temporal, and occipital regions of the right hemisphere. Significant age-by-group interactions of neurite density were observed within the middle frontal gyrus, precentral gyrus, and frontal pole. Negative relationships between neurite dispersion and the ADOS-2 Calibrated Severity Scores (CSS) were observed within the ASD group. DISCUSSION: Findings demonstrate group and age-related differences between groups in neurite density in ASD across right-hemisphere brain regions supporting cognitive processes. Results provide evidence of altered neurodevelopmental processes affecting GM microstructure in autistic males with implications for the role of cortical microstructure in the level of autistic symptoms. CONCLUSION: Using dMRI and GBSS, our findings provide new insights into group and age-related differences of the GM microstructure in autistic males. Defining where and when these cortical GM differences arise will contribute to our understanding of brain-behavior relationships of ASD and may aid in the development and monitoring of targeted and individualized interventions. |
format | Online Article Text |
id | pubmed-9817031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98170312023-01-07 Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study DiPiero, Marissa A. Surgent, Olivia J. Travers, Brittany G. Alexander, Andrew L. Lainhart, Janet E. Dean III, Douglas C. Neuroimage Clin Regular Article BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition. Understanding the brain’s microstructure and its relationship to clinical characteristics is important to advance our understanding of the neural supports underlying ASD. In the current work, we implemented Gray-Matter Based Spatial Statistics (GBSS) to examine and characterize cortical microstructure and assess differences between typically developing (TD) and autistic males. METHODS: A multi-shell diffusion MRI (dMRI) protocol was acquired from 83 TD and 70 autistic males (5-to-21-years) and fit to the DTI and NODDI models. GBSS was performed for voxelwise analysis of cortical gray matter (GM). General linear models were used to investigate group differences, while age-by-group interactions assessed age-related differences between groups. Within the ASD group, relationships between cortical microstructure and measures of autistic symptoms were investigated. RESULTS: All dMRI measures were significantly associated with age across the GM skeleton. Group differences and age-by-group interactions are reported. Group-wise increases in neurite density in autistic individuals were observed across frontal, temporal, and occipital regions of the right hemisphere. Significant age-by-group interactions of neurite density were observed within the middle frontal gyrus, precentral gyrus, and frontal pole. Negative relationships between neurite dispersion and the ADOS-2 Calibrated Severity Scores (CSS) were observed within the ASD group. DISCUSSION: Findings demonstrate group and age-related differences between groups in neurite density in ASD across right-hemisphere brain regions supporting cognitive processes. Results provide evidence of altered neurodevelopmental processes affecting GM microstructure in autistic males with implications for the role of cortical microstructure in the level of autistic symptoms. CONCLUSION: Using dMRI and GBSS, our findings provide new insights into group and age-related differences of the GM microstructure in autistic males. Defining where and when these cortical GM differences arise will contribute to our understanding of brain-behavior relationships of ASD and may aid in the development and monitoring of targeted and individualized interventions. Elsevier 2022-12-26 /pmc/articles/PMC9817031/ /pubmed/36587584 http://dx.doi.org/10.1016/j.nicl.2022.103306 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article DiPiero, Marissa A. Surgent, Olivia J. Travers, Brittany G. Alexander, Andrew L. Lainhart, Janet E. Dean III, Douglas C. Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study |
title | Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study |
title_full | Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study |
title_fullStr | Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study |
title_full_unstemmed | Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study |
title_short | Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study |
title_sort | gray matter microstructure differences in autistic males: a gray matter based spatial statistics study |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817031/ https://www.ncbi.nlm.nih.gov/pubmed/36587584 http://dx.doi.org/10.1016/j.nicl.2022.103306 |
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