Overview
- A peer-reviewed Scientific Reports study analyzed high-density EEG from 306 children and teens with and without autism and found that aperiodic, non-oscillatory spectral activity during a speech task linked to real-world communication differences.
- Researchers used 128-sensor caps while participants listened to streams of spoken nonsense words and applied advanced computational methods to isolate the aperiodic signal that reflects excitation–inhibition balance.
- Youths whose aperiodic activity appeared 'noisier' tended to score lower on measures of everyday verbal communication, while that signal did not track standard language tests like vocabulary or grammar.
- The authors stress the finding is not a diagnostic test and note limits in the sample because most participants had average or above-average verbal skills, so results must be tested in minimally verbal and more diverse groups.
- Teams recommend combining EEG with other brain imaging, repeating the work in new cohorts, and running longitudinal or intervention studies to see if the aperiodic signal can track change or therapy effects and ultimately help measure treatment impact.