Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing
Abstract It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. How...
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creator | Zoltowski, Alisa R Lyu, Ilwoo Failla, Michelle Mash, Lisa E Dunham, Kacie Feldman, Jacob I Woynaroski, Tiffany G Wallace, Mark T Barquero, Laura A Nguyen, Tin Q Cutting, Laurie E Kang, Hakmook Landman, Bennett A Cascio, Carissa J |
description | Abstract
It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5–54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism. |
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It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5–54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.</description><identifier>ISSN: 1047-3211</identifier><identifier>EISSN: 1460-2199</identifier><identifier>DOI: 10.1093/cercor/bhab151</identifier><identifier>PMID: 34195789</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Adolescent ; Adult ; Autism Spectrum Disorder - diagnostic imaging ; Autistic Disorder - diagnostic imaging ; Brain ; Cerebral Cortex ; Child ; Child, Preschool ; Humans ; Magnetic Resonance Imaging - methods ; Middle Aged ; Original ; Young Adult</subject><ispartof>Cerebral cortex (New York, N.Y. 1991), 2021-10, Vol.31 (11), p.5188-5205</ispartof><rights>The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-ea4e6688944790801e0c550bbd4b73aa55f5cfeed987284b335c38ae46bcfcbb3</citedby><cites>FETCH-LOGICAL-c424t-ea4e6688944790801e0c550bbd4b73aa55f5cfeed987284b335c38ae46bcfcbb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34195789$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zoltowski, Alisa R</creatorcontrib><creatorcontrib>Lyu, Ilwoo</creatorcontrib><creatorcontrib>Failla, Michelle</creatorcontrib><creatorcontrib>Mash, Lisa E</creatorcontrib><creatorcontrib>Dunham, Kacie</creatorcontrib><creatorcontrib>Feldman, Jacob I</creatorcontrib><creatorcontrib>Woynaroski, Tiffany G</creatorcontrib><creatorcontrib>Wallace, Mark T</creatorcontrib><creatorcontrib>Barquero, Laura A</creatorcontrib><creatorcontrib>Nguyen, Tin Q</creatorcontrib><creatorcontrib>Cutting, Laurie E</creatorcontrib><creatorcontrib>Kang, Hakmook</creatorcontrib><creatorcontrib>Landman, Bennett A</creatorcontrib><creatorcontrib>Cascio, Carissa J</creatorcontrib><title>Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing</title><title>Cerebral cortex (New York, N.Y. 1991)</title><addtitle>Cereb Cortex</addtitle><description>Abstract
It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5–54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Autism Spectrum Disorder - diagnostic imaging</subject><subject>Autistic Disorder - diagnostic imaging</subject><subject>Brain</subject><subject>Cerebral Cortex</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Young Adult</subject><issn>1047-3211</issn><issn>1460-2199</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1r3DAQhkVpaD7aa49Fx_bgjWRJttVDYVnyBRtySHsWkjxeq9iSK9mh--_jZTdLcsppBuaZZwZehL5SsqBEsksL0YZ4aVptqKAf0BnlBclyKuXHuSe8zFhO6Sk6T-kvIbTMRf4JnTJOpSgreYb8KsTRWd3h-xCHNnRhs8XO4-U0utT_xNfO185vEm5i6LHGR_yx1QNky1oPo3sCvByGGLRt8RjwOuyAm210zYyOLnh852v4P3s-o5NGdwm-HOoF-nN99Xt1m60fbu5Wy3Vmec7HDDSHoqgqyXkpSUUoECsEMabmpmRaC9EI2wDUsirzihvGhGWVBl4Y21hj2AX6tfcOk-mhtuDHqDs1RNfruFVBO_V24l2rNuFJVVzSQtJZ8P0giOHfBGlUvUsWuk57CFNSueCl4EXOyIwu9qiNIaUIzfEMJWoXktqHpA4hzQvfXj93xF9SmYEfeyBMw3uyZ3kfoMQ</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Zoltowski, Alisa R</creator><creator>Lyu, Ilwoo</creator><creator>Failla, Michelle</creator><creator>Mash, Lisa E</creator><creator>Dunham, Kacie</creator><creator>Feldman, Jacob I</creator><creator>Woynaroski, Tiffany G</creator><creator>Wallace, Mark T</creator><creator>Barquero, Laura A</creator><creator>Nguyen, Tin Q</creator><creator>Cutting, Laurie E</creator><creator>Kang, Hakmook</creator><creator>Landman, Bennett A</creator><creator>Cascio, Carissa J</creator><general>Oxford University Press</general><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><scope>5PM</scope></search><sort><creationdate>20211001</creationdate><title>Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing</title><author>Zoltowski, Alisa R ; Lyu, Ilwoo ; Failla, Michelle ; Mash, Lisa E ; Dunham, Kacie ; Feldman, Jacob I ; Woynaroski, Tiffany G ; Wallace, Mark T ; Barquero, Laura A ; Nguyen, Tin Q ; Cutting, Laurie E ; Kang, Hakmook ; Landman, Bennett A ; Cascio, Carissa J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-ea4e6688944790801e0c550bbd4b73aa55f5cfeed987284b335c38ae46bcfcbb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Autism Spectrum Disorder - diagnostic imaging</topic><topic>Autistic Disorder - diagnostic imaging</topic><topic>Brain</topic><topic>Cerebral Cortex</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zoltowski, Alisa R</creatorcontrib><creatorcontrib>Lyu, Ilwoo</creatorcontrib><creatorcontrib>Failla, Michelle</creatorcontrib><creatorcontrib>Mash, Lisa E</creatorcontrib><creatorcontrib>Dunham, Kacie</creatorcontrib><creatorcontrib>Feldman, Jacob I</creatorcontrib><creatorcontrib>Woynaroski, Tiffany G</creatorcontrib><creatorcontrib>Wallace, Mark T</creatorcontrib><creatorcontrib>Barquero, Laura A</creatorcontrib><creatorcontrib>Nguyen, Tin Q</creatorcontrib><creatorcontrib>Cutting, Laurie E</creatorcontrib><creatorcontrib>Kang, Hakmook</creatorcontrib><creatorcontrib>Landman, Bennett A</creatorcontrib><creatorcontrib>Cascio, Carissa J</creatorcontrib><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cerebral cortex (New York, N.Y. 1991)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zoltowski, Alisa R</au><au>Lyu, Ilwoo</au><au>Failla, Michelle</au><au>Mash, Lisa E</au><au>Dunham, Kacie</au><au>Feldman, Jacob I</au><au>Woynaroski, Tiffany G</au><au>Wallace, Mark T</au><au>Barquero, Laura A</au><au>Nguyen, Tin Q</au><au>Cutting, Laurie E</au><au>Kang, Hakmook</au><au>Landman, Bennett A</au><au>Cascio, Carissa J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing</atitle><jtitle>Cerebral cortex (New York, N.Y. 1991)</jtitle><addtitle>Cereb Cortex</addtitle><date>2021-10-01</date><risdate>2021</risdate><volume>31</volume><issue>11</issue><spage>5188</spage><epage>5205</epage><pages>5188-5205</pages><issn>1047-3211</issn><eissn>1460-2199</eissn><abstract>Abstract
It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5–54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>34195789</pmid><doi>10.1093/cercor/bhab151</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Autism Spectrum Disorder - diagnostic imaging Autistic Disorder - diagnostic imaging Brain Cerebral Cortex Child Child, Preschool Humans Magnetic Resonance Imaging - methods Middle Aged Original Young Adult |
title | Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing |
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