Autism classified by magnetic resonance imaging: A pilot study of a potential diagnostic tool.
autism spectrum disorder
multivariate classification
structural magnetic resonance imaging
voxel-based morphometry
Journal
International journal of methods in psychiatric research
ISSN: 1557-0657
Titre abrégé: Int J Methods Psychiatr Res
Pays: United States
ID NLM: 9111433
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
04
09
2018
revised:
10
06
2020
accepted:
11
06
2020
pubmed:
19
9
2020
medline:
26
10
2021
entrez:
18
9
2020
Statut:
ppublish
Résumé
Individual anatomical biomarkers have limited power for the classification of autism. The present study introduces a multivariate classification approach using structural magnetic resonance imaging data from individuals with and without autism. The classifier utilizes z-normalization, parameter weighting, and interindividual comparison on brain segmentation data, for estimation of an individual summed total index (TI). The TI indicates whether the gross morphological pattern of each individual's brain is in the direction of cases or controls. Morphometric analysis found significant differences within subcortical gray matter structures and limbic areas. There was no significant difference in total brain volume. A case-control pilot-study of TIs in normally intelligent individuals with autism (24) and without (21) yielded a maximal accuracy of 78.9% following cross-validation. It showed a high accuracy compared with machine learning methods when tested on the same dataset. The TI correlated well with the autism quotient (R = 0.51) across groups. These results are on par with studies on autism using machine learning. The main contributions are its transparency and simplicity. The possibility of including additional neuroimaging data further increases the potential of the classifier as a diagnostic aid for neuropsychiatric disorders, as well as a research tool for neuroscientific investigations.
Identifiants
pubmed: 32945591
doi: 10.1002/mpr.1846
pmc: PMC7723195
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-18Informations de copyright
© 2020 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.
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