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
Hauptverfasser: 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, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Chakrabarti, Bhismadev, Cornelissen, Ineke, Crawley, Daisy, Dumas, Guillaume, 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., Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Mueller, Nico, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., 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, Zwiers, Marcel P., Llera, Alberto
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container_issue 11
container_start_page 1084
container_title Biological psychiatry : cognitive neuroscience and neuroimaging
container_volume 8
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
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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. 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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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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><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, 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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>
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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
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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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