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Brain structural correlates of autistic traits across the diagnostic divide: A grey matter and white matter microstructure study
Autism Spectrum Disorders (ASD) are a set of neurodevelopmental conditions characterised by difficulties in social interaction and communication as well as stereotyped and restricted patterns of interest. Autistic traits exist in a continuum across the general population, whilst the extreme end of t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641248/ https://www.ncbi.nlm.nih.gov/pubmed/34911200 http://dx.doi.org/10.1016/j.nicl.2021.102897 |
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author | Arunachalam Chandran, Varun Pliatsikas, Christos Neufeld, Janina O'Connell, Garret Haffey, Anthony DeLuca, Vincent Chakrabarti, Bhismadev |
author_facet | Arunachalam Chandran, Varun Pliatsikas, Christos Neufeld, Janina O'Connell, Garret Haffey, Anthony DeLuca, Vincent Chakrabarti, Bhismadev |
author_sort | Arunachalam Chandran, Varun |
collection | PubMed |
description | Autism Spectrum Disorders (ASD) are a set of neurodevelopmental conditions characterised by difficulties in social interaction and communication as well as stereotyped and restricted patterns of interest. Autistic traits exist in a continuum across the general population, whilst the extreme end of this distribution is diagnosed as clinical ASD. While many studies have investigated brain structure in autism using a case-control design, few have used a dimensional approach. To add to this growing body of literature, we investigated the structural brain correlates of autistic traits in a mixed sample of adult participants (25 ASD and 66 neurotypicals; age: 18–60 years). We examined the relationship between regional brain volumes (using voxel-based morphometry and surface-based morphometry) and white matter microstructure properties (using Diffusion Tensor Imaging) and autistic traits (using Autism Spectrum Quotient). Our findings show grey matter differences in regions including the orbitofrontal cortex and lingual gyrus, and suggestive evidence for white matter microstructure differences in tracts including the superior longitudinal fasciculus being related to higher autistic traits. These grey matter and white matter microstructure findings from our study are consistent with previous reports and support the brain structural differences in ASD. These findings provide further support for shared aetiology for autistic traits across the diagnostic divide. |
format | Online Article Text |
id | pubmed-8641248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86412482021-12-09 Brain structural correlates of autistic traits across the diagnostic divide: A grey matter and white matter microstructure study Arunachalam Chandran, Varun Pliatsikas, Christos Neufeld, Janina O'Connell, Garret Haffey, Anthony DeLuca, Vincent Chakrabarti, Bhismadev Neuroimage Clin Regular Article Autism Spectrum Disorders (ASD) are a set of neurodevelopmental conditions characterised by difficulties in social interaction and communication as well as stereotyped and restricted patterns of interest. Autistic traits exist in a continuum across the general population, whilst the extreme end of this distribution is diagnosed as clinical ASD. While many studies have investigated brain structure in autism using a case-control design, few have used a dimensional approach. To add to this growing body of literature, we investigated the structural brain correlates of autistic traits in a mixed sample of adult participants (25 ASD and 66 neurotypicals; age: 18–60 years). We examined the relationship between regional brain volumes (using voxel-based morphometry and surface-based morphometry) and white matter microstructure properties (using Diffusion Tensor Imaging) and autistic traits (using Autism Spectrum Quotient). Our findings show grey matter differences in regions including the orbitofrontal cortex and lingual gyrus, and suggestive evidence for white matter microstructure differences in tracts including the superior longitudinal fasciculus being related to higher autistic traits. These grey matter and white matter microstructure findings from our study are consistent with previous reports and support the brain structural differences in ASD. These findings provide further support for shared aetiology for autistic traits across the diagnostic divide. Elsevier 2021-11-23 /pmc/articles/PMC8641248/ /pubmed/34911200 http://dx.doi.org/10.1016/j.nicl.2021.102897 Text en © 2021 Published by Elsevier Inc. 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 Arunachalam Chandran, Varun Pliatsikas, Christos Neufeld, Janina O'Connell, Garret Haffey, Anthony DeLuca, Vincent Chakrabarti, Bhismadev Brain structural correlates of autistic traits across the diagnostic divide: A grey matter and white matter microstructure study |
title | Brain structural correlates of autistic traits across the diagnostic
divide: A grey matter and white matter microstructure study |
title_full | Brain structural correlates of autistic traits across the diagnostic
divide: A grey matter and white matter microstructure study |
title_fullStr | Brain structural correlates of autistic traits across the diagnostic
divide: A grey matter and white matter microstructure study |
title_full_unstemmed | Brain structural correlates of autistic traits across the diagnostic
divide: A grey matter and white matter microstructure study |
title_short | Brain structural correlates of autistic traits across the diagnostic
divide: A grey matter and white matter microstructure study |
title_sort | brain structural correlates of autistic traits across the diagnostic
divide: a grey matter and white matter microstructure study |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641248/ https://www.ncbi.nlm.nih.gov/pubmed/34911200 http://dx.doi.org/10.1016/j.nicl.2021.102897 |
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