Dysregulation of temporal dynamics of synchronous neural activity in adolescents on autism spectrum.
ASD teens' brains show extra-short desync bursts between frontal and parietal areas—possible neural marker of sensory overload.
01Research in Context
What this study did
Mulder et al. (2020) recorded resting EEG from teens with and without autism. They tracked how well frontal and parietal brain areas kept in sync moment to moment.
The team counted how often short desynchronization bursts popped up. They wanted to see if these tiny timing hiccups differed in ASD.
What they found
ASD teens showed extra-short desynchronization bursts between frontal and parietal regions. Their brains looked hyper-alert, then quickly slipped out of step.
The pattern hints at a neural signature for sensory overload in autism.
How this fits with other research
He et al. (2018) saw reduced flexibility in the default-mode network of young ASD kids. Both studies point to unstable network timing, just in different age groups and networks.
Patton et al. (2020) also found more moment-to-moment jitter in single-trial ERPs during a task. The EEG desync bursts line up with this wider picture of variable neural timing in ASD.
Guo et al. (2024) extended the idea to younger children using fMRI. They linked dynamic brain-activity shifts to symptom severity, showing the pattern spans modalities and ages.
Why it matters
You can view brief desynchronization as a quick stress barometer. During sessions, watch for sudden jumps in self-stim or gaze aversion; they may line up with these silent bursts. Logging behavior right after visible signs could help you tie external cues to internal neural shifts. Over time, this pairing may guide when to offer sensory breaks or reinforce coping skills.
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02At a glance
03Original abstract
Autism spectrum disorder is increasingly understood to be based on atypical signal transfer among multiple interconnected networks in the brain. Relative temporal patterns of neural activity have been shown to underlie both the altered neurophysiology and the altered behaviors in a variety of neurogenic disorders. We assessed brain network dynamics variability in autism spectrum disorders (ASD) using measures of synchronization (phase-locking) strength, and timing of synchronization and desynchronization of neural activity (desynchronization ratio) across frequency bands of resting-state electroencephalography (EEG). Our analysis indicated that frontoparietal synchronization is higher in ASD but with more short periods of desynchronization. It also indicates that the relationship between the properties of neural synchronization and behavior is different in ASD and typically developing populations. Recent theoretical studies suggest that neural networks with a high desynchronization ratio have increased sensitivity to inputs. Our results point to the potential significance of this phenomenon to the autistic brain. This sensitivity may disrupt the production of an appropriate neural and behavioral responses to external stimuli. Cognitive processes dependent on the integration of activity from multiple networks maybe, as a result, particularly vulnerable to disruption. Autism Res 2020, 13: 24-31. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Parts of the brain can work together by synchronizing the activity of the neurons. We recorded the electrical activity of the brain in adolescents with autism spectrum disorder and then compared the recording to that of their peers without the diagnosis. We found that in participants with autism, there were a lot of very short time periods of non-synchronized activity between frontal and parietal parts of the brain. Mathematical models show that the brain system with this kind of activity is very sensitive to external events.
Autism research : official journal of the International Society for Autism Research, 2020 · doi:10.1002/aur.2219