File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

류일우

Lyu, Ilwoo
3D Shape Analysis Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing

Author(s)
Zoltowski, Alisa R.Lyu, IlwooFailla, MichelleMash, Lisa E.Dunham, KacieFeldman, Jacob, IWoynaroski, Tiffany G.Wallace, Mark T.Barquero, Laura A.Nguyen, Tin Q.Cutting, Laurie E.Kang, HakmookLandman, Bennett A.Cascio, Carissa J.
Issued Date
2021-11
DOI
10.1093/cercor/bhab151
URI
https://scholarworks.unist.ac.kr/handle/201301/55162
Citation
CEREBRAL CORTEX, v.31, no.11, pp.5188 - 5205
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.
Publisher
OXFORD UNIV PRESS INC
ISSN
1047-3211
Keyword (Author)
autismbrain structurecortical morphologylocal gyrification indexing
Keyword
DIAGNOSTIC OBSERVATION SCHEDULEEARLY BRAIN-DEVELOPMENTSURFACE-AREATHICKNESS ANALYSISFUNCTIONAL CONNECTIVITYRESPONSIVENESS PATTERNSSPECTRUM DISORDERSSALIENCENETWORKRECONSTRUCTION

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.