Resting-state EEG dataset and signal processing code for depressive symptom severity in untreated adults

<p dir="ltr">This item contains de-identified resting-state EEG recordings, participant-level metadata, and MATLAB/PowerShell code for signal processing and Phase Resetting Rate Modulation (PRRM) feature extraction from a study of depressive symptom severity in untreated adults.</p><p dir="ltr">Data were collected at a single site in Japan using an Emotiv EPOC X headset (14 channels; 128 Hz) during eyes-closed resting-state recording.

Participants were untreated adults spanning a broad continuum of self-reported depressive symptom severity, including individuals with moderate-to-severe symptoms. Participants completed the Zung Self-Rating Depression Scale (SDS) and the Patient Health Questionnaire-9 (PHQ-9) on the same day as EEG acquisition.</p><p dir="ltr">The EEG recordings are provided as CSV files organized by participant and session, together with participant-level metadata (`participants.tsv` and `participants.json`) and MATLAB/PowerShell code for loading and segmenting recordings, continuous wavelet transformation, phase-resetting event detection, and PRRM feature computation.</p><p dir="ltr">This dataset and signal-processing code support the findings reported in the article “Distributed EEG phase-resetting dynamics predict depressive symptom severity in untreated adults,” which is forthcoming.