Relationships between peak alpha frequency, age, and autistic traits in young children with and without autism spectrum disorder

Masafumi Kameya, Tetsu Hirosawa*, Daiki Soma, Yuko Yoshimura, Kyung-min An, Sumie Iwasaki, Sanae Tanaka, Ken Yaoi, Masuhiko Sano, Yoshiaki Miyagishi, Mitsuru Kikuchi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Background: Atypical peak alpha frequency (PAF) has been reported in children with autism spectrum disorder (ASD); however, the relationships between PAF, age, and autistic traits remain unclear. This study was conducted to investigate and compare the resting-state PAF of young children with ASD and their typically developing (TD) peers using magnetoencephalography (MEG). Methods: Nineteen children with ASD and 24 TD children, aged 5-7 years, underwent MEG under resting-state conditions. The PAFs in ten brain regions were calculated, and the associations between these findings, age, and autistic traits, measured using the Social Responsiveness Scale (SRS), were examined. Results: There were no significant differences in PAF between the children with ASD and the TD children. However, a unique positive association between age and PAF in the cingulate region was observed in the ASD group, suggesting the potential importance of the cingulate regions as a neurophysiological mechanism underlying distinct developmental trajectory of ASD. Furthermore, a higher PAF in the right temporal region was associated with higher SRS scores in TD children, highlighting the potential role of alpha oscillations in social information processing. Conclusions: This study emphasizes the importance of regional specificity and developmental factors when investigating neurophysiological markers of ASD. The distinct age-related PAF patterns in the cingulate regions of children with ASD and the association between right temporal PAF and autistic traits in TD children provide novel insights into the neurobiological underpinnings of ASD. These findings pave the way for future research on the functional implications of these neurophysiological patterns and their potential as biomarkers of ASD across the lifespan.
Original languageEnglish
Article number1419815
JournalFrontiers in Psychiatry
Volume15
DOIs
Publication statusPublished - 30 Aug 2024

Keywords

  • autism spectrum disorder
  • magnetoencephalography
  • neurodevelopment
  • peak alpha frequency
  • brain regions

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