Altered aperiodic EEG spectral power during speech perception task is associated with verbal communication in youths with Autism Spectrum Disorder

Most children with Autism Spectrum Disorder (ASD) have co-occurring language impairment, but its neural mechanisms are not well known. Excitation (E) / inhibition (I) imbalance is considered as a key neurobiological mechanism of ASD, and several electroencephalography (EEG)-based E/I balance metrics have been proposed in the previous studies. The goal of the present research was to focus on these metrics abstracted from the speech perception task to investigate their relation to language/communication in autistic youths. We used a high-density 128-channel EEG to register neural responses during speech perception task in the sex- and age-matched groups of youths with ASD (N = 162) and typically developing (TD) controls (N = 144), aged 7-18 years old. The results revealed alterations in the E/I measures in the ASD group hypothetically associated with a higher level of excitation or neural 'noise' in the cortex as well as broadband reduction of spectral power during speech perception. A greater neural 'noise' reflected in the reduction of aperiodic exponent and offset was related to lower verbal communication but not language skills in youths with ASD. The findings suggested that the higher 'noisiness' in the cortical systems may be a relevant marker to monitor in relation to verbal communication in ASD.

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Publication Details

Journal
Scientific Reports
Published
2026-06-26
DOI
https://doi.org/10.1038/s41598-026-59415-9
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Altered aperiodic EEG spectral power during speech perception task is associated with verbal communication in youths with Autism Spectrum Disorder

Heather Borland, Megha Santhosh, Sara Jane Webb, Vardan Arutiunian et al.
Scientific Reports
Autism Spectrum Disorder Research
article

Altered aperiodic EEG spectral power during speech perception task is associated with verbal communication in youths with Autism Spectrum Disorder

Heather Borland, Megha Santhosh, Sara Jane Webb, Vardan Arutiunian, Emily Neuhaus, John Horn, Abha R. Gupta, Shafali Jeste, Allison Jack, Susan Y. Bookheimer, Kevin A. Pelphrey, Mirella Dapretto, Raphael A. Bernier, Adam Naples, James C. McPartland
article en

Abstract

Most children with Autism Spectrum Disorder (ASD) have co-occurring language impairment, but its neural mechanisms are not well known. Excitation (E) / inhibition (I) imbalance is considered as a key neurobiological mechanism of ASD, and several electroencephalography (EEG)-based E/I balance metrics have been proposed in the previous studies. The goal of the present research was to focus on these metrics abstracted from the speech perception task to investigate their relation to language/communication in autistic youths. We used a high-density 128-channel EEG to register neural responses during speech perception task in the sex- and age-matched groups of youths with ASD (N = 162) and typically developing (TD) controls (N = 144), aged 7-18 years old. The results revealed alterations in the E/I measures in the ASD group hypothetically associated with a higher level of excitation or neural 'noise' in the cortex as well as broadband reduction of spectral power during speech perception. A greater neural 'noise' reflected in the reduction of aperiodic exponent and offset was related to lower verbal communication but not language skills in youths with ASD. The findings suggested that the higher 'noisiness' in the cortical systems may be a relevant marker to monitor in relation to verbal communication in ASD.

Scientific Reports
Center for Infectious Disease Research (US), Seattle Children's Hospital (US), Infectious Disease Research Institute (US), University of California, Los Angeles (US), George Mason University (US), University of Washington (US), Yale University (US), Seattle Children's Hospital (US), Behavioral Tech Research, Inc. (US), University of Virginia (US), Center for Autism and Related Disorders (US)
Autism Research Institute
Quality Education
Openalex Percentile: Top 6%
Autism Spectrum Disorder Research
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