Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology
Although many studies have explored atypicalities in gray matter (GM) and white matter (WM) morphology of autism, most of them relied on unimodal analyses that did not benefit from the likelihood that different imaging modalities may reflect common neurobiology. We aimed to establish brain patterns...
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Veröffentlicht in: | Biological psychiatry : cognitive neuroscience and neuroimaging 2023-11, Vol.8 (11), p.1084-1093 |
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creator | Mei, Ting Forde, Natalie J. Floris, Dorothea L. Dell’Acqua, Flavio Stones, Richard Ilioska, Iva Durston, Sarah Moessnang, Carolin Banaschewski, Tobias Holt, Rosemary J. Baron-Cohen, Simon Rausch, Annika Loth, Eva Oakley, Bethany Charman, Tony Ecker, Christine Murphy, Declan G.M. Buitelaar, Jan K. Ahmad, Jumana Ambrosino, Sara Auyeung, Bonnie Banaschewski, Tobias Baron-Cohen, Simon Baumeister, Sarah Beckmann, Christian F. Bölte, Sven Bourgeron, Thomas Bours, Carsten Brammer, Michael Brandeis, Daniel Brogna, Claudia de Bruijn, Yvette Chakrabarti, Bhismadev Charman, Tony Cornelissen, Ineke Crawley, Daisy Dell’Acqua, Flavio Dumas, Guillaume Durston, Sarah Ecker, Christine Faulkner, Jessica Frouin, Vincent Garcés, Pilar Goyard, David Ham, Lindsay Hayward, Hannah Hipp, Joerg Holt, Rosemary Johnson, Mark H. Jones, Emily J.H. Kundu, Prantik Lai, Meng-Chuan Liogier d’Ardhuy, Xavier Lombardo, Michael V. Loth, Eva Lythgoe, David J. Mandl, René Marquand, Andre Mason, Luke Mennes, Maarten Meyer-Lindenberg, Andreas Moessnang, Carolin Mueller, Nico Murphy, Declan G.M. Oakley, Bethany O’Dwyer, Laurence Oldehinkel, Marianne Oranje, Bob Pandina, Gahan Persico, Antonio M. Rausch, Annika Ruggeri, Barbara Ruigrok, Amber Sabet, Jessica Sacco, Roberto San José Cáceres, Antonia Simonoff, Emily Spooren, Will Tillmann, Julian Toro, Roberto Tost, Heike Waldman, Jack Williams, Steve C.R. Wooldridge, Caroline Ilioska, Iva Mei, Ting Zwiers, Marcel P. Beckmann, Christian F. Llera, Alberto Buitelaar, Jan K. |
description | Although many studies have explored atypicalities in gray matter (GM) and white matter (WM) morphology of autism, most of them relied on unimodal analyses that did not benefit from the likelihood that different imaging modalities may reflect common neurobiology. We aimed to establish brain patterns of modalities that differentiate between individuals with and without autism and explore associations between these brain patterns and clinical measures in the autism group.
We studied 183 individuals with autism and 157 nonautistic individuals (age range, 6–30 years) in a large, deeply phenotyped autism dataset (EU-AIMS LEAP [European Autism Interventions—A Multicentre Study for Developing New Medications Longitudinal European Autism Project]). Linked independent component analysis was used to link all participants’ GM volume and WM diffusion tensor images, and group comparisons of modality shared variances were examined. Subsequently, we performed univariate and multivariate brain-behavior correlation analyses to separately explore the relationships between brain patterns and clinical profiles.
One multimodal pattern was significantly related to autism. This pattern was primarily associated with GM volume in bilateral insula and frontal, precentral and postcentral, cingulate, and caudate areas and co-occurred with altered WM features in the superior longitudinal fasciculus. The brain-behavior correlation analyses showed a significant multivariate association primarily between brain patterns that involved variation of WM and symptoms of restricted and repetitive behavior in the autism group.
Our findings demonstrate the assets of integrated analyses of GM and WM alterations to study the brain mechanisms that underpin autism and show that the complex clinical autism phenotype can be interpreted by brain covariation patterns that are spread across the brain involving both cortical and subcortical areas. |
doi_str_mv | 10.1016/j.bpsc.2022.08.011 |
format | Article |
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We aimed to establish brain patterns of modalities that differentiate between individuals with and without autism and explore associations between these brain patterns and clinical measures in the autism group.
We studied 183 individuals with autism and 157 nonautistic individuals (age range, 6–30 years) in a large, deeply phenotyped autism dataset (EU-AIMS LEAP [European Autism Interventions—A Multicentre Study for Developing New Medications Longitudinal European Autism Project]). Linked independent component analysis was used to link all participants’ GM volume and WM diffusion tensor images, and group comparisons of modality shared variances were examined. Subsequently, we performed univariate and multivariate brain-behavior correlation analyses to separately explore the relationships between brain patterns and clinical profiles.
One multimodal pattern was significantly related to autism. This pattern was primarily associated with GM volume in bilateral insula and frontal, precentral and postcentral, cingulate, and caudate areas and co-occurred with altered WM features in the superior longitudinal fasciculus. The brain-behavior correlation analyses showed a significant multivariate association primarily between brain patterns that involved variation of WM and symptoms of restricted and repetitive behavior in the autism group.
Our findings demonstrate the assets of integrated analyses of GM and WM alterations to study the brain mechanisms that underpin autism and show that the complex clinical autism phenotype can be interpreted by brain covariation patterns that are spread across the brain involving both cortical and subcortical areas.</description><identifier>ISSN: 2451-9022</identifier><identifier>EISSN: 2451-9030</identifier><identifier>DOI: 10.1016/j.bpsc.2022.08.011</identifier><identifier>PMID: 36075529</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Autism ; Autistic Disorder ; Brain ; Canonical correlation analysis ; Child ; Gray matter ; Gray Matter - diagnostic imaging ; Humans ; Magnetic Resonance Imaging - methods ; Multimodal analysis ; Multivariate analysis ; White matter ; White Matter - diagnostic imaging ; Young Adult</subject><ispartof>Biological psychiatry : cognitive neuroscience and neuroimaging, 2023-11, Vol.8 (11), p.1084-1093</ispartof><rights>2022 Society of Biological Psychiatry</rights><rights>Copyright © 2022 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-919e7cbb727e34be9df0ba1256e77178d6f8631481c174d07bd1d6ad85e62d283</citedby><cites>FETCH-LOGICAL-c400t-919e7cbb727e34be9df0ba1256e77178d6f8631481c174d07bd1d6ad85e62d283</cites><orcidid>0000-0003-3029-4460</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36075529$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mei, Ting</creatorcontrib><creatorcontrib>Forde, Natalie J.</creatorcontrib><creatorcontrib>Floris, Dorothea L.</creatorcontrib><creatorcontrib>Dell’Acqua, Flavio</creatorcontrib><creatorcontrib>Stones, 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Iva</creatorcontrib><creatorcontrib>Mei, Ting</creatorcontrib><creatorcontrib>Zwiers, Marcel P.</creatorcontrib><creatorcontrib>Beckmann, Christian F.</creatorcontrib><creatorcontrib>Llera, Alberto</creatorcontrib><creatorcontrib>Buitelaar, Jan K.</creatorcontrib><creatorcontrib>the EU-AIMS LEAP group</creatorcontrib><creatorcontrib>EU-AIMS LEAP group</creatorcontrib><title>Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology</title><title>Biological psychiatry : cognitive neuroscience and neuroimaging</title><addtitle>Biol Psychiatry Cogn Neurosci Neuroimaging</addtitle><description>Although many studies have explored atypicalities in gray matter (GM) and white matter (WM) morphology of autism, most of them relied on unimodal analyses that did not benefit from the likelihood that different imaging modalities may reflect common neurobiology. We aimed to establish brain patterns of modalities that differentiate between individuals with and without autism and explore associations between these brain patterns and clinical measures in the autism group.
We studied 183 individuals with autism and 157 nonautistic individuals (age range, 6–30 years) in a large, deeply phenotyped autism dataset (EU-AIMS LEAP [European Autism Interventions—A Multicentre Study for Developing New Medications Longitudinal European Autism Project]). Linked independent component analysis was used to link all participants’ GM volume and WM diffusion tensor images, and group comparisons of modality shared variances were examined. Subsequently, we performed univariate and multivariate brain-behavior correlation analyses to separately explore the relationships between brain patterns and clinical profiles.
One multimodal pattern was significantly related to autism. This pattern was primarily associated with GM volume in bilateral insula and frontal, precentral and postcentral, cingulate, and caudate areas and co-occurred with altered WM features in the superior longitudinal fasciculus. The brain-behavior correlation analyses showed a significant multivariate association primarily between brain patterns that involved variation of WM and symptoms of restricted and repetitive behavior in the autism group.
Our findings demonstrate the assets of integrated analyses of GM and WM alterations to study the brain mechanisms that underpin autism and show that the complex clinical autism phenotype can be interpreted by brain covariation patterns that are spread across the brain involving both cortical and subcortical areas.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Autism</subject><subject>Autistic Disorder</subject><subject>Brain</subject><subject>Canonical correlation analysis</subject><subject>Child</subject><subject>Gray matter</subject><subject>Gray Matter - diagnostic imaging</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Multimodal analysis</subject><subject>Multivariate analysis</subject><subject>White matter</subject><subject>White Matter - diagnostic imaging</subject><subject>Young 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Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3029-4460</orcidid></search><sort><creationdate>202311</creationdate><title>Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology</title><author>Mei, Ting ; Forde, Natalie J. ; Floris, Dorothea L. ; Dell’Acqua, Flavio ; Stones, Richard ; Ilioska, Iva ; Durston, Sarah ; Moessnang, Carolin ; Banaschewski, Tobias ; Holt, Rosemary J. ; Baron-Cohen, Simon ; Rausch, Annika ; Loth, Eva ; Oakley, Bethany ; Charman, Tony ; Ecker, Christine ; Murphy, Declan G.M. ; Buitelaar, Jan K. ; Ahmad, Jumana ; Ambrosino, Sara ; Auyeung, Bonnie ; Banaschewski, Tobias ; Baron-Cohen, Simon ; Baumeister, Sarah ; Beckmann, Christian F. ; Bölte, Sven ; Bourgeron, Thomas ; Bours, Carsten ; Brammer, Michael ; Brandeis, Daniel ; Brogna, Claudia ; de Bruijn, Yvette ; Chakrabarti, Bhismadev ; Charman, Tony ; Cornelissen, Ineke ; Crawley, Daisy ; Dell’Acqua, Flavio ; Dumas, Guillaume ; Durston, Sarah ; Ecker, Christine ; Faulkner, Jessica ; Frouin, Vincent ; Garcés, Pilar ; Goyard, David ; Ham, Lindsay ; Hayward, Hannah ; Hipp, Joerg ; Holt, Rosemary ; Johnson, Mark H. ; Jones, Emily J.H. ; Kundu, Prantik ; Lai, Meng-Chuan ; Liogier d’Ardhuy, Xavier ; Lombardo, Michael V. ; Loth, Eva ; Lythgoe, David J. ; Mandl, René ; Marquand, Andre ; Mason, Luke ; Mennes, Maarten ; Meyer-Lindenberg, Andreas ; Moessnang, Carolin ; Mueller, Nico ; Murphy, Declan G.M. ; Oakley, Bethany ; O’Dwyer, Laurence ; Oldehinkel, Marianne ; Oranje, Bob ; Pandina, Gahan ; Persico, Antonio M. ; Rausch, Annika ; Ruggeri, Barbara ; Ruigrok, Amber ; Sabet, Jessica ; Sacco, Roberto ; San José Cáceres, Antonia ; Simonoff, Emily ; Spooren, Will ; Tillmann, Julian ; Toro, Roberto ; Tost, Heike ; Waldman, Jack ; Williams, Steve C.R. ; Wooldridge, Caroline ; Ilioska, Iva ; Mei, Ting ; Zwiers, Marcel P. ; Beckmann, Christian F. ; Llera, Alberto ; Buitelaar, Jan K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-919e7cbb727e34be9df0ba1256e77178d6f8631481c174d07bd1d6ad85e62d283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Autism</topic><topic>Autistic Disorder</topic><topic>Brain</topic><topic>Canonical correlation analysis</topic><topic>Child</topic><topic>Gray matter</topic><topic>Gray Matter - diagnostic imaging</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Multimodal analysis</topic><topic>Multivariate analysis</topic><topic>White matter</topic><topic>White Matter - diagnostic imaging</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mei, Ting</creatorcontrib><creatorcontrib>Forde, Natalie J.</creatorcontrib><creatorcontrib>Floris, Dorothea L.</creatorcontrib><creatorcontrib>Dell’Acqua, Flavio</creatorcontrib><creatorcontrib>Stones, Richard</creatorcontrib><creatorcontrib>Ilioska, Iva</creatorcontrib><creatorcontrib>Durston, Sarah</creatorcontrib><creatorcontrib>Moessnang, Carolin</creatorcontrib><creatorcontrib>Banaschewski, Tobias</creatorcontrib><creatorcontrib>Holt, Rosemary J.</creatorcontrib><creatorcontrib>Baron-Cohen, Simon</creatorcontrib><creatorcontrib>Rausch, Annika</creatorcontrib><creatorcontrib>Loth, Eva</creatorcontrib><creatorcontrib>Oakley, Bethany</creatorcontrib><creatorcontrib>Charman, Tony</creatorcontrib><creatorcontrib>Ecker, Christine</creatorcontrib><creatorcontrib>Murphy, Declan G.M.</creatorcontrib><creatorcontrib>Buitelaar, Jan K.</creatorcontrib><creatorcontrib>Ahmad, Jumana</creatorcontrib><creatorcontrib>Ambrosino, Sara</creatorcontrib><creatorcontrib>Auyeung, Bonnie</creatorcontrib><creatorcontrib>Banaschewski, Tobias</creatorcontrib><creatorcontrib>Baron-Cohen, Simon</creatorcontrib><creatorcontrib>Baumeister, Sarah</creatorcontrib><creatorcontrib>Beckmann, Christian F.</creatorcontrib><creatorcontrib>Bölte, Sven</creatorcontrib><creatorcontrib>Bourgeron, Thomas</creatorcontrib><creatorcontrib>Bours, Carsten</creatorcontrib><creatorcontrib>Brammer, Michael</creatorcontrib><creatorcontrib>Brandeis, Daniel</creatorcontrib><creatorcontrib>Brogna, Claudia</creatorcontrib><creatorcontrib>de Bruijn, Yvette</creatorcontrib><creatorcontrib>Chakrabarti, Bhismadev</creatorcontrib><creatorcontrib>Charman, Tony</creatorcontrib><creatorcontrib>Cornelissen, Ineke</creatorcontrib><creatorcontrib>Crawley, Daisy</creatorcontrib><creatorcontrib>Dell’Acqua, Flavio</creatorcontrib><creatorcontrib>Dumas, Guillaume</creatorcontrib><creatorcontrib>Durston, Sarah</creatorcontrib><creatorcontrib>Ecker, Christine</creatorcontrib><creatorcontrib>Faulkner, Jessica</creatorcontrib><creatorcontrib>Frouin, Vincent</creatorcontrib><creatorcontrib>Garcés, Pilar</creatorcontrib><creatorcontrib>Goyard, David</creatorcontrib><creatorcontrib>Ham, Lindsay</creatorcontrib><creatorcontrib>Hayward, Hannah</creatorcontrib><creatorcontrib>Hipp, Joerg</creatorcontrib><creatorcontrib>Holt, Rosemary</creatorcontrib><creatorcontrib>Johnson, Mark H.</creatorcontrib><creatorcontrib>Jones, Emily J.H.</creatorcontrib><creatorcontrib>Kundu, Prantik</creatorcontrib><creatorcontrib>Lai, Meng-Chuan</creatorcontrib><creatorcontrib>Liogier d’Ardhuy, Xavier</creatorcontrib><creatorcontrib>Lombardo, Michael V.</creatorcontrib><creatorcontrib>Loth, Eva</creatorcontrib><creatorcontrib>Lythgoe, David J.</creatorcontrib><creatorcontrib>Mandl, René</creatorcontrib><creatorcontrib>Marquand, Andre</creatorcontrib><creatorcontrib>Mason, Luke</creatorcontrib><creatorcontrib>Mennes, Maarten</creatorcontrib><creatorcontrib>Meyer-Lindenberg, Andreas</creatorcontrib><creatorcontrib>Moessnang, Carolin</creatorcontrib><creatorcontrib>Mueller, Nico</creatorcontrib><creatorcontrib>Murphy, Declan G.M.</creatorcontrib><creatorcontrib>Oakley, Bethany</creatorcontrib><creatorcontrib>O’Dwyer, Laurence</creatorcontrib><creatorcontrib>Oldehinkel, Marianne</creatorcontrib><creatorcontrib>Oranje, Bob</creatorcontrib><creatorcontrib>Pandina, Gahan</creatorcontrib><creatorcontrib>Persico, Antonio M.</creatorcontrib><creatorcontrib>Rausch, Annika</creatorcontrib><creatorcontrib>Ruggeri, Barbara</creatorcontrib><creatorcontrib>Ruigrok, Amber</creatorcontrib><creatorcontrib>Sabet, Jessica</creatorcontrib><creatorcontrib>Sacco, Roberto</creatorcontrib><creatorcontrib>San José Cáceres, Antonia</creatorcontrib><creatorcontrib>Simonoff, Emily</creatorcontrib><creatorcontrib>Spooren, Will</creatorcontrib><creatorcontrib>Tillmann, Julian</creatorcontrib><creatorcontrib>Toro, Roberto</creatorcontrib><creatorcontrib>Tost, Heike</creatorcontrib><creatorcontrib>Waldman, Jack</creatorcontrib><creatorcontrib>Williams, Steve C.R.</creatorcontrib><creatorcontrib>Wooldridge, Caroline</creatorcontrib><creatorcontrib>Ilioska, Iva</creatorcontrib><creatorcontrib>Mei, Ting</creatorcontrib><creatorcontrib>Zwiers, Marcel P.</creatorcontrib><creatorcontrib>Beckmann, Christian F.</creatorcontrib><creatorcontrib>Llera, Alberto</creatorcontrib><creatorcontrib>Buitelaar, Jan K.</creatorcontrib><creatorcontrib>the EU-AIMS LEAP group</creatorcontrib><creatorcontrib>EU-AIMS LEAP group</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biological psychiatry : cognitive neuroscience and neuroimaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mei, Ting</au><au>Forde, Natalie J.</au><au>Floris, Dorothea L.</au><au>Dell’Acqua, Flavio</au><au>Stones, Richard</au><au>Ilioska, Iva</au><au>Durston, Sarah</au><au>Moessnang, Carolin</au><au>Banaschewski, Tobias</au><au>Holt, Rosemary J.</au><au>Baron-Cohen, Simon</au><au>Rausch, Annika</au><au>Loth, Eva</au><au>Oakley, Bethany</au><au>Charman, Tony</au><au>Ecker, Christine</au><au>Murphy, Declan G.M.</au><au>Buitelaar, Jan K.</au><au>Ahmad, Jumana</au><au>Ambrosino, Sara</au><au>Auyeung, Bonnie</au><au>Banaschewski, Tobias</au><au>Baron-Cohen, Simon</au><au>Baumeister, Sarah</au><au>Beckmann, Christian F.</au><au>Bölte, Sven</au><au>Bourgeron, Thomas</au><au>Bours, Carsten</au><au>Brammer, Michael</au><au>Brandeis, Daniel</au><au>Brogna, Claudia</au><au>de Bruijn, Yvette</au><au>Chakrabarti, Bhismadev</au><au>Charman, Tony</au><au>Cornelissen, Ineke</au><au>Crawley, Daisy</au><au>Dell’Acqua, Flavio</au><au>Dumas, Guillaume</au><au>Durston, Sarah</au><au>Ecker, Christine</au><au>Faulkner, Jessica</au><au>Frouin, Vincent</au><au>Garcés, Pilar</au><au>Goyard, David</au><au>Ham, Lindsay</au><au>Hayward, Hannah</au><au>Hipp, Joerg</au><au>Holt, Rosemary</au><au>Johnson, Mark H.</au><au>Jones, Emily J.H.</au><au>Kundu, Prantik</au><au>Lai, Meng-Chuan</au><au>Liogier d’Ardhuy, Xavier</au><au>Lombardo, Michael V.</au><au>Loth, Eva</au><au>Lythgoe, David J.</au><au>Mandl, René</au><au>Marquand, Andre</au><au>Mason, Luke</au><au>Mennes, Maarten</au><au>Meyer-Lindenberg, Andreas</au><au>Moessnang, Carolin</au><au>Mueller, Nico</au><au>Murphy, Declan G.M.</au><au>Oakley, Bethany</au><au>O’Dwyer, Laurence</au><au>Oldehinkel, Marianne</au><au>Oranje, Bob</au><au>Pandina, Gahan</au><au>Persico, Antonio M.</au><au>Rausch, Annika</au><au>Ruggeri, Barbara</au><au>Ruigrok, Amber</au><au>Sabet, Jessica</au><au>Sacco, Roberto</au><au>San José Cáceres, Antonia</au><au>Simonoff, Emily</au><au>Spooren, Will</au><au>Tillmann, Julian</au><au>Toro, Roberto</au><au>Tost, Heike</au><au>Waldman, Jack</au><au>Williams, Steve C.R.</au><au>Wooldridge, Caroline</au><au>Ilioska, Iva</au><au>Mei, Ting</au><au>Zwiers, Marcel P.</au><au>Beckmann, Christian F.</au><au>Llera, Alberto</au><au>Buitelaar, Jan K.</au><aucorp>the EU-AIMS LEAP group</aucorp><aucorp>EU-AIMS LEAP group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology</atitle><jtitle>Biological psychiatry : cognitive neuroscience and neuroimaging</jtitle><addtitle>Biol Psychiatry Cogn Neurosci Neuroimaging</addtitle><date>2023-11</date><risdate>2023</risdate><volume>8</volume><issue>11</issue><spage>1084</spage><epage>1093</epage><pages>1084-1093</pages><issn>2451-9022</issn><eissn>2451-9030</eissn><abstract>Although many studies have explored atypicalities in gray matter (GM) and white matter (WM) morphology of autism, most of them relied on unimodal analyses that did not benefit from the likelihood that different imaging modalities may reflect common neurobiology. We aimed to establish brain patterns of modalities that differentiate between individuals with and without autism and explore associations between these brain patterns and clinical measures in the autism group.
We studied 183 individuals with autism and 157 nonautistic individuals (age range, 6–30 years) in a large, deeply phenotyped autism dataset (EU-AIMS LEAP [European Autism Interventions—A Multicentre Study for Developing New Medications Longitudinal European Autism Project]). Linked independent component analysis was used to link all participants’ GM volume and WM diffusion tensor images, and group comparisons of modality shared variances were examined. Subsequently, we performed univariate and multivariate brain-behavior correlation analyses to separately explore the relationships between brain patterns and clinical profiles.
One multimodal pattern was significantly related to autism. This pattern was primarily associated with GM volume in bilateral insula and frontal, precentral and postcentral, cingulate, and caudate areas and co-occurred with altered WM features in the superior longitudinal fasciculus. The brain-behavior correlation analyses showed a significant multivariate association primarily between brain patterns that involved variation of WM and symptoms of restricted and repetitive behavior in the autism group.
Our findings demonstrate the assets of integrated analyses of GM and WM alterations to study the brain mechanisms that underpin autism and show that the complex clinical autism phenotype can be interpreted by brain covariation patterns that are spread across the brain involving both cortical and subcortical areas.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36075529</pmid><doi>10.1016/j.bpsc.2022.08.011</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3029-4460</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2451-9022 |
ispartof | Biological psychiatry : cognitive neuroscience and neuroimaging, 2023-11, Vol.8 (11), p.1084-1093 |
issn | 2451-9022 2451-9030 |
language | eng |
recordid | cdi_proquest_miscellaneous_2712847632 |
source | MEDLINE; Alma/SFX Local Collection |
subjects | Adolescent Adult Autism Autistic Disorder Brain Canonical correlation analysis Child Gray matter Gray Matter - diagnostic imaging Humans Magnetic Resonance Imaging - methods Multimodal analysis Multivariate analysis White matter White Matter - diagnostic imaging Young Adult |
title | Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology |
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