Resting and task-modulated high-frequency brain rhythms measured by scalp encephalography in infants with tuberous sclerosis complex.
TSC toddlers show lingering fast brain waves that may mark delayed neural maturation and later autism risk.
01Research in Context
What this study did
Stamoulis et al. (2015) placed soft EEG caps on toddlers with tuberous sclerosis complex (TSC).
They recorded brain waves while the kids rested and while they looked at simple pictures.
The team wanted to see if these children had different high-frequency brain rhythms than typically developing peers.
What they found
TSC toddlers kept showing extra fast brain waves that should fade as the brain matures.
This pattern hints that their neural circuits are maturing more slowly.
The extra high-frequency power was present both at rest and during simple tasks.
How this fits with other research
Dickinson et al. (2019) followed a similar group and found that TSC babies who later received an autism diagnosis had unusually low alpha coordination between the two sides of the brain.
Together the papers form a timeline: first, too much fast activity (Catherine), then weak long-range slow links (Abigail).
Bergmann et al. (2019) used the same EEG power method in adults with Down syndrome and Alzheimer’s, but saw less high-frequency power, the opposite direction.
The difference likely comes from age and disease: delayed development boosts fast rhythms, while neurodegeneration reduces them.
Why it matters
If you work with infants who have TSC, a quick EEG showing stubborn fast rhythms can flag atypical brain development before clear delays appear.
Share the finding with neurologists and families early; it justifies starting developmental monitoring and, if needed, ABA services sooner rather than later.
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02At a glance
03Original abstract
The electrophysiological correlates of cognitive deficits in tuberous sclerosis complex (TSC) are not well understood, and modulations of neural dynamics by neuroanatomical abnormalities that characterize the disorder remain elusive. Neural oscillations (rhythms) are a fundamental aspect of brain function, and have dominant frequencies in a wide frequency range. The spatio-temporal dynamics of these frequencies in TSC are currently unknown. Using a novel signal decomposition approach this study investigated dominant cortical frequencies in 10 infants with TSC, in the age range 18-30 months, and 12 age-matched healthy controls. Distinct spectral characteristics were estimated in the two groups. High-frequency [in the high-gamma (>50 Hz) and ripple (>80 Hz) ranges], non-random EEG components were identified in both TSC and healthy infants at 18 months. Additional components in the lower gamma (30-50 Hz) ranges were also identified, with higher characteristic frequencies in TSC than in controls. Lower frequencies were statistically identical in both sub-groups. A significant shift in the high-frequency spectral content of the EEG was observed as a function of age, independently of task performance, possibly reflecting an overall maturation of developing neural circuits. This shift occurred earlier in healthy infants than in TSC, i.e., by age 20 months the highest dominant frequencies were in the high gamma range, whereas in TSC dominant frequencies above 100 Hz were still measurable. At age 28-30 months a statistically significant decrease in dominant high frequencies was observed in both TSC and healthy infants, possibly reflecting increased myelination and neuronal connection strengthening with age. Although based on small samples, and thus preliminary, the findings in this study suggest that dominant cortical rhythms, a fundamental aspect of neurodynamics, may be affected in TSC, possibly leading to impaired information processing in the brain.
Journal of autism and developmental disorders, 2015 · doi:10.1007/s10803-013-1887-7