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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Veröffentlicht in:Cerebral cortex (New York, N.Y. 1991) N.Y. 1991), 2021-10, Vol.31 (11), p.5188-5205
Hauptverfasser: 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
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container_end_page 5205
container_issue 11
container_start_page 5188
container_title Cerebral cortex (New York, N.Y. 1991)
container_volume 31
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.
doi_str_mv 10.1093/cercor/bhab151
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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. 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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 ; 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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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