Facial Hemodynamic and EEG Data for 150 Migraine Patients and Healthy Controls

78 patients with migraine and 72 healthy controls contributed data on facial hemodynamics via imaging photoplethysmography and anticipatory cortical activity via contingent negative variation EEG recordings. The dataset includes state-dependent comparisons between interictal and attack phases, with linear mixed-effects models used for analysis. The data was uploaded by Huanyu Li on June 4, 2026.

Use Cases

• Develop classifiers to distinguish migraine patients from healthy controls based on facial pulsation asymmetry metrics.
• Model state-dependent changes in anticipatory cortical activity using contingent negative variation amplitudes.
• Investigate central-peripheral coupling between EEG and facial hemodynamic signals for biomarker discovery.

Strengths

• Includes data from 150 total participants (78 patients, 72 controls), enabling group comparisons.
• Captures data across two distinct migraine states (interictal and attack phase) for within-patient analysis.
• Analysis adjusted for age and sex, and sensitivity analyses evaluated potential confounding factors.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Sample sizes between migraine states are unequal (60 interictal vs. 18 attack phase).

Provenance

Source

Huanyu Li via figshare

Collection Method

Clinical study enrolling patients with migraine and healthy controls, with data collected from short facial videos and EEG recordings.

Freshness

Last updated 2026-06-04 04:27:41; freshness should be verified.