Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data

Autor/inn/en	Kim, Johanna Inhyang; Bang, Sungkyu; Yang, Jin-Ju; Kwon, Heejin; Jang, Soomin; Roh, Sungwon; Kim, Seok Hyeon; Kim, Mi Jung; Lee, Hyun Ju; Lee, Jong-Min; Kim, Bung-Nyun
Titel	Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data
Quelle	In: Journal of Autism and Developmental Disorders, 53 (2023) 1, S.25-37 (13 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kim, Johanna Inhyang)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-021-05368-z
Schlagwörter	Preschool Children; Autism Spectrum Disorders; Control Groups; Classification; Diagnostic Tests; Visual Aids; Artificial Intelligence; Intermode Differences + Suchen Sie Ihr Suchwort? Pre-school age; Preschool age; Child; Children; Pre-school education; Preschool education; Vorschulalter; Kind; Kinder; Vorschulkind; Vorschulkinder; Vorschulerziehung; Vorschule; Autism; Autismus; Classification system; Klassifikation; Klassifikationssystem; Diagnostic test; Diagnostischer Test; Anschauungsmaterial; Künstliche Intelligenz
Abstract	Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3-6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy, sensitivity, and specificity of 88.8%, 93.0%, and 83.8%, respectively. The most prominent features were the cortical thickness of the right inferior occipital gyrus, mean diffusivity of the middle cerebellar peduncle, and nodal efficiency of the left posterior cingulate gyrus. Machine learning-based analysis of MRI data was useful in distinguishing low-functioning ASD preschoolers from TDCs. Combination of T1 and DTI improved classification accuracy about 10%, and large-scale multi-modal MRI studies are warranted for external validation. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01