EEG Microstates Suggest Atypical Resting-State Network Activity in High-Functioning Children and Adolescents with Autism Spectrum Development

Autor/inn/en	Takarae, Yukari; Zanesco, Anthony; Keehn, Brandon; Chukoskie, Leanne; Müller, Ralph-Axel; Townsend, Jeanne
Titel	EEG Microstates Suggest Atypical Resting-State Network Activity in High-Functioning Children and Adolescents with Autism Spectrum Development
Quelle	In: Developmental Science, 25 (2022) 4, (17 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Takarae, Yukari)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1467-7687
DOI	10.1111/desc.13231
Schlagwörter	Autism; Pervasive Developmental Disorders; Children; Adolescents; Age Differences; Intelligence Quotient; Sex; Handedness; Tests; Brain + Suchen Sie Ihr Suchwort? Autismus; Child; Kind; Kinder; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Age; Difference; Age difference; Altersunterschied; Intelligenzquotient; Geschlecht; Geschlechtsverkehr; Linkshändigkeit; Examination; Prüfung; Examen; Gehirn
Abstract	EEG microstates represent transient electrocortical events that reflect synchronized activities of large-scale networks, which allows investigations of brain dynamics with sub-second resolution. We recorded resting EEG from 38 children and adolescents with Autism Spectrum Development (ASD) and 48 age, IQ, sex, and handedness-matched typically developing (TD) participants. The EEG was segmented into a time series of microstates using modified k-means clustering of scalp voltage topographies. The frequency and global explained variance (GEV) of a specific microstate (type C) were significantly lower in the ASD group compared to the TD group while the duration of the same microstate was correlated with the presence of ASD-related behaviors. The duration of this microstate was also positively correlated with participant age in the TD group, but not in the ASD group. Further, the frequency and duration of the microstate were significantly correlated with the overall alpha power only in the TD group. The signal strength and GEV for another microstate (type G) was greater in the ASD group than the TD group, and the associated topographical pattern differed between groups with greater variations in the ASD group. While more work is needed to clarify the underlying neural sources, the existing literature supports associations between the two microstates and the default mode and salience networks. The current study suggests specific alterations of temporal dynamics of the resting cortical network activities as well as their developmental trajectories and relationships to alpha power, which has been proposed to reflect reduced neural inhibition in ASD. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01