Right Heschl's Gyrus Activity in Insomnia Patients and Healthy Controls

46 participants' resting-state fMRI data analyzed for a potential objective biomarker for insomnia disorder. The dataset includes results from a discovery and validation set split, showing reduced spontaneous activity in the right Heschl's gyrus. Authored by Miao Li and last updated in 2026.

Use Cases

• Validate neuroimaging biomarkers for insomnia based on amplitude of low-frequency fluctuation (ALFF) data.
• Replicate cross-validation findings for a robust marker using independent discovery and validation sets.
• Investigate the relationship between regional brain activity and clinical symptoms using provided correlation results.
• Train machine learning models to classify insomnia patients based on right Heschl's gyrus activity metrics.

Strengths

• Dataset includes results from a cross-validation design with a discovery set (n=23) and an independent validation set (n=23).
• Effect size for the primary finding is quantified as very large (Cohen's d = 0.98).
• Statistical results are provided with FDR-corrected p-values (e.g., p = 0.0084).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The sample size is 46 participants, which is relatively small for broad generalization.

Provenance

Source

figshare

Collection Method

Resting-state fMRI data from 46 participants (25 insomnia patients, 21 healthy controls).

Freshness

Last updated 2026-05-24 03:23:04; freshness should be verified.