Eine EEG-Studie ergab, dass das autistische Gehirn durch ein höheres Maß an elektrischer Hintergrundaktivität gekennzeichnet ist, die oft als neuronales Rauschen beschrieben wird, was mit größeren Schwierigkeiten bei der Kommunikation in der realen Welt bei Kindern mit Autismus-Spektrum-Störung einhergeht.
Brain “noise” during speech processing is linked to verbal communication skills in autistic youth
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**Brain “noise” during speech processing is linked to verbal communication skills in autistic youth**
A new study suggests that subtle patterns in background electrical brain activity are linked to everyday verbal communication abilities in autistic youths. Scientists discovered that higher levels of background electrical activity, often described as neural noise, tend to correspond with greater difficulties in real-world communication among children with autism spectrum disorder. The research was published in the scientific journal [*Scientific Reports*](https://doi.org/10.1038/s41598-026-59415-9).
Statistical analyses revealed noticeable differences in background brain signals between the two participant groups. Autistic youths exhibited a lower aperiodic exponent and a lower aperiodic offset compared to their typically developing peers.
The autistic participants also displayed elevated levels of periodic gamma power during the speech listening task. Together, these three brain patterns point toward a functional shift in the autistic brain, characterized by higher baseline excitation and an increase in overall background neural noise.
When evaluating how these brain signals connected to behavioral traits, the authors observed a specific relationship. A lower aperiodic exponent and offset were associated with lower scores in everyday verbal communication on the Vineland assessment among autistic youths.
This pattern suggests that children whose brain signals reflected higher neural noise tended to experience greater challenges with practical daily communication. These same electrical signals showed no significant association with formal structural language scores, such as vocabulary and grammar knowledge.
https://www.nature.com/articles/s41598-026-59415-9
>often described as neural noise, which corresponds with greater difficulties
On the potential *positive* side, for us autistics where there are benefits to the noise, is above-average to exceptional „pattern recognition“.
A predominant theory as to this *benefit* is that the additional noise introduces stochastic resonance, where the signal is amplified & detected where it would normally be below the threshold & missed.
Regarding „communication difficulties“, there’s also a modern understanding of the topic indicating that autistics (at least speaking for ASD 1 without a comorbidity such as ID diagnosis[we’re *spiky* when it comes to IQs]), for decades there have been dramatic flaws in studies indicating „communication deficiency“. The flaw being that the tests were always comparing an Autistic (Neurodivergent) with a Neurotypical. When you have only autistics in a group communicating they have the same success/failure rate as neurotypicals & the only *problems* were only when you *mix* the two different types (i.e. neurotypicals are just as *deficient* communication with autistics!). If you’re interested in this aspect, I recommend searching for „the double-empathy problem“.
And…again, on the original topic of noise, if you’re interested in the *upside*, search for „autistic stochastic resonance“.
Thanks for posting this!
>Interpretation of these findings requires consideration of several important study parameters and limitations. The majority of the autistic participants in the sample possessed average or above-average intellectual and verbal abilities.
>Because of this sample profile, the findings might not generalize directly to individuals with autism who are nonverbal or possess minimal verbal skills. Future research will need to include participants with a wider range of cognitive and communication profiles to confirm these patterns.
>In addition, scalp electroencephalography provides an indirect, system-level estimation of brain excitation and inhibition rather than a direct physical measurement of specific brain chemicals. The technology measures broad electrical field changes across the scalp rather than individual microscopic connections between nerve cells.
I don’t think you can draw too much from this study, but it sure is interesting and sets up for future studies. I wonder if the „noise“ is really noise in this case or if the brain is working on other processes. The paper makes it seem like just because there’s brain activity not focused on the thing they were studying that it’s „noise“ when they don’t know what that electrical activity is doing.