Representational similarity analysis reveals atypical age-related changes in brain regions supporting face and car recognition in autism.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 04 01 2019
revised: 25 10 2019
accepted: 29 10 2019
pubmed: 2 12 2019
medline: 16 2 2021
entrez: 2 12 2019
Statut: ppublish

Résumé

Autism Spectrum Disorder (ASD) is associated with atypical activation in the ventral stream during face processing. The current study further characterizes the development of face processing in ASD using a multivoxel pattern analysis, which assesses the similarity in the representation of exemplars from the same category. Ninety-two children, adolescents and adults - with and without ASD - performed the Cambridge Face Memory Test, the Australian Face Memory Test, and a matched car memory test. Regions of interest during these tasks included Fusiform Face Area (FFA), based on the literature, and additional, structurally-defined regions in the ventral stream. Group differences in the patterns of activity within these ROIs when memorizing exemplars were examined using a representational similarity analysis (RSA). The RSA revealed significant interactions between age group and diagnostic group in R FFA, with increasing similarity within a category (faces, cars) into adulthood typically but not in those with ASD. This pattern was also evident in structurally defined ventral stream regions, namely L inferior frontal gyrus (IFG), bilateral temporoparietal junction (TPJ), L inferior temporal lobule, and the R fusiform gyrus. The specialization of face and object processing from adolescence to adulthood evident in typical development may be impaired in ASD, undermining the ability to reach adult-level visual processing in those with ASD.

Sections du résumé

BACKGROUND
Autism Spectrum Disorder (ASD) is associated with atypical activation in the ventral stream during face processing. The current study further characterizes the development of face processing in ASD using a multivoxel pattern analysis, which assesses the similarity in the representation of exemplars from the same category.
METHODS
Ninety-two children, adolescents and adults - with and without ASD - performed the Cambridge Face Memory Test, the Australian Face Memory Test, and a matched car memory test. Regions of interest during these tasks included Fusiform Face Area (FFA), based on the literature, and additional, structurally-defined regions in the ventral stream. Group differences in the patterns of activity within these ROIs when memorizing exemplars were examined using a representational similarity analysis (RSA).
RESULTS
The RSA revealed significant interactions between age group and diagnostic group in R FFA, with increasing similarity within a category (faces, cars) into adulthood typically but not in those with ASD. This pattern was also evident in structurally defined ventral stream regions, namely L inferior frontal gyrus (IFG), bilateral temporoparietal junction (TPJ), L inferior temporal lobule, and the R fusiform gyrus.
CONCLUSIONS
The specialization of face and object processing from adolescence to adulthood evident in typical development may be impaired in ASD, undermining the ability to reach adult-level visual processing in those with ASD.

Identifiants

pubmed: 31786166
pii: S1053-8119(19)30913-9
doi: 10.1016/j.neuroimage.2019.116322
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

116322

Subventions

Organisme : NIMH NIH HHS
ID : K01 MH081191
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH067924
Pays : United States

Informations de copyright

Copyright © 2019. Published by Elsevier Inc.

Auteurs

Kirsten O'Hearn (K)

Department of Physiology and Pharmacology, Wake Forest School of Medicine, USA. Electronic address: kohearnd@wakehealth.edu.

Bart Larsen (B)

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.

Jennifer Fedor (J)

Department of Psychiatry, University of Pittsburgh School of Medicine, USA.

Beatriz Luna (B)

Department of Psychiatry, University of Pittsburgh School of Medicine, USA.

Andrew Lynn (A)

Department of Cognitive, Linguistics, and Psychological Sciences, Brown University, USA.

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