EEG Biomarker Data for Dup15q Syndrome and Autism

Aggregating electrophysiological (EEG) recordings from 48 total participants across two studies, including individuals with Dup15q syndrome, non-syndromic autism spectrum disorder (ASD), and typically developing children. It includes computed relative power in six frequency bands (delta, beta1, beta2, etc.) for nine regions of interest. The data was collected to identify a quantitative EEG biomarker distinguishing Dup15q syndrome from other groups.

Use Cases

• Analyze beta1 (12-20 Hz) and beta2 (20-30 Hz) power differences between Dup15q syndrome, ASD, and typically developing cohorts.
• Examine the relationship between beta2 power and epilepsy diagnosis within the Dup15q syndrome group using regression.
• Compare delta (1-4 Hz) power across participant groups to identify syndrome-specific electrophysiological patterns.
• Investigate regional power variations across the nine specified regions of interest for different frequency bands.

Strengths

• Data from 48 total participants across two controlled studies, providing a basis for group comparisons.
• Includes computed relative power for six distinct EEG frequency bands, enabling spectral analysis.
• Study design includes age-and-IQ-matched comparison groups (ASD and typically developing).

Limitations

• Small sample sizes per group (e.g., 11 Dup15q, 10 ASD, 9 TD in first study), limiting statistical power.
• Data collection spanned only two sites, which may limit generalizability.
• Specific raw data formats, column definitions, and sample data are not provided in the input.

Provenance

Source

Dryad digital repository.

Collection Method

Spontaneous EEG recordings from participants, with power computed for frequency bands and regions of interest.

Freshness

Last updated in June 2020.