EEG Spectral Features in Sleep of Autism Spectrum Disorders in Children with Tuberous Sclerosis Complex.
In TSC toddlers, extra alpha power during Stage II sleep at 24 months signals high autism risk.
01Research in Context
What this study did
Doctors placed sticky EEG sensors on sleeping 24-month-old toddlers who have tuberous sclerosis complex (TSC).
They recorded brain waves during Stage II sleep and later checked which children showed autism signs.
What they found
Toddlers with extra alpha power during light sleep were the ones who later showed ASD symptoms.
The alpha spike acted like an early red flag in this high-risk group.
How this fits with other research
Huberty et al. (2021) looked at EEG alpha in infants with family history of autism and saw no added value beyond family history. The difference: Mulder et al. (2020) studied TSC kids, a group with a clear genetic pathway, while Scott studied general familial risk.
Cornew et al. (2012) also found extra alpha in older children already diagnosed with ASD, matching the TSC toddlers who later developed symptoms.
Friis (1998) review reminds us that about one in four TSC children will show ASD, so the sleep marker fits a known risk rate.
Why it matters
If you serve toddlers with TSC, ask the medical team for a sleep EEG read-out. High alpha power at 24 months tells you to start autism screening and early ABA right away instead of waiting for behavior signs to show.
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02At a glance
03Original abstract
Tuberous sclerosis complex (TSC) is a multisystem disorder with increased prevalence of autism spectrum disorders (ASDs). This project aimed to characterize the autism phenotype of TSC and identify biomarkers of risk for ASD. Because abnormalities of EEG during sleep are tied to neurodevelopment in children, we compared electroencephalographic (EEG) measures during Stage II sleep in TSC children who either did (ASD+) or did not (ASD-) exhibit symptoms of ASD over 36-month follow up. Relative alpha band power was significantly elevated in the ASD+ group at 24 months of age with smaller differences at younger ages, suggesting this may arise from differences in brain development. These findings suggest that EEG features could enhance the detection of risk for ASD.
Journal of autism and developmental disorders, 2020 · doi:10.1016/j.braindev.2010.08.010