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Evaluating motor cortical oscillations and age-related change in autism spectrum disorder

Authors :
William Gaetz
Edward Rhodes
Luke Bloy
Lisa Blaskey
Carissa R. Jackel
Edward S. Brodkin
Amy Waldman
David Embick
Stephen Hall
Timothy P.L. Roberts
Source :
NeuroImage, Vol 207, Iss , Pp 116349- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Autism spectrum disorder (ASD) is primarily characterized by impairments in social communication and the appearance of repetitive behaviors with restricted interests. Increasingly, evidence also points to a general deficit of motor tone and coordination in children and adults with ASD; yet the neural basis of motor functional impairment in ASD remains poorly characterized. In this study, we used magnetoencephalography (MEG) to (1) assess potential group differences between typically developing (TD) and ASD participants in motor cortical oscillatory activity observed on a simple button-press task and (2) to do so over a sufficiently broad age-range so as to capture age-dependent changes associated with development. Event-related desynchronization was evaluated in Mu (8–13 Hz) and Beta (15–30 Hz) frequency bands (Mu-ERD, Beta-ERD). In addition, post-movement Beta rebound (PMBR), and movement-related gamma (60–90 Hz) synchrony (MRGS) were also assessed in a cohort of 123 participants (63 typically developing (TD) and 59 with ASD) ranging in age from 8 to 24.9 years.We observed significant age-dependent linear trends in Beta-ERD and MRGS power with age for both TD and ASD groups; which did not differ significantly between groups. However, for PMBR, in addition to a significant effect of age, we also observed a significant reduction in PMBR power in the ASD group (p 13.2 years (p

Details

Language :
English
ISSN :
10959572
Volume :
207
Issue :
116349-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.23e01091dc6d4ff6a022722f63c2a13a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2019.116349