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Cited 4 time in webofscience Cited 7 time in scopus
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Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing SCIE SCOPUS

Title
Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing
Authors
Zoltowski, Alisa RLyu, IlwooFailla, MichelleMash, Lisa EDunham, KacieFeldman, Jacob IWoynaroski, Tiffany GWallace, Mark TBarquero, Laura ANguyen, Tin QCutting, Laurie EKang, HakmookLandman, Bennett ACascio, Carissa J
Date Issued
2021-10
Publisher
Oxford University Press
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.
URI
https://oasis.postech.ac.kr/handle/2014.oak/120866
DOI
10.1093/cercor/bhab151
ISSN
1047-3211
Article Type
Article
Citation
Cerebral Cortex, vol. 31, no. 11, page. 5188 - 5205, 2021-10
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류일우Lyu, Ilwoo
Grad. School of AI
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