TDBRAIN

TDBRAIN provides a repository of resting-state raw electroencephalography (EEG) and associated clinical and demographic data to support neurophysiological research and biomarker development.

Key Features:

• Extensive dataset: Resting-state raw EEG recordings spanning 2001–2021 with clinical and demographic data from 1,274 patients aged 5–89 years.
• Diverse patient population: Cohort includes Major Depressive Disorder (MDD; N=426), Attention Deficit Hyperactivity Disorder (ADHD; N=271), Subjective Memory Complaints (SMC; N=119), and Obsessive-Compulsive Disorder (OCD; N=75).
• Comprehensive contextual variables: Includes demographic details, personality assessments, and day-of-measurement information linked to EEG recordings.
• Blinded data for validation: Thirty percent of clinical and treatment outcome data are blinded to facilitate prospective validation and replication studies.

Scientific Applications:

• Biomarker discovery: Identification of EEG-based biomarkers associated with neurological and psychiatric dysfunctions.
• Predictive modeling: Training Artificial Intelligence (AI) networks and applying machine learning algorithms to predict treatment responses.
• Cross-disorder neurophysiological analysis: Comparative studies of neurophysiological signatures across MDD, ADHD, SMC, OCD, and heterogeneous clinical cohorts.

Methodology:

Resting-state raw EEG and associated clinical records were compiled from clinical records and are provided for analysis using machine learning algorithms and training of Artificial Intelligence (AI) networks.