A test-retest resting, and cognitive state EEG dataset during multiple subject-driven states

• Published in: Scientific data Vol. 9; no. 1; pp. 566 - 11
• Main Authors: Wang, Yulin, Duan, Wei, Dong, Debo, Ding, Lihong, Lei, Xu
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 13.09.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378; 706/648/697; Brain; Cognition & reasoning; Cognition - physiology; Cognitive ability; Data collection; Data Descriptor; Datasets; EEG; Electroencephalography; Emotions; Humanities and Social Sciences; Humans; Investigations; Medical imaging; Memory; Mental disorders; Mental health; multidisciplinary; Music; Neuroimaging; Neurosciences; Questionnaires; Reproducibility; Reproducibility of Results; Rest - physiology; Science; Science (multidisciplinary); Sleep
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-022-01607-9

Here we present a test-retest dataset of electroencephalogram (EEG) acquired at two resting (eyes open and eyes closed) and three subject-driven cognitive states (memory, music, subtraction) with both short-term (within 90 mins) and long-term (one-month apart) designs. 60 participants were recorded during three EEG sessions. Each session includes EEG and behavioral data along with rich samples of behavioral assessments testing demographic, sleep, emotion, mental health and the content of self-generated thoughts (mind wandering). This data enables the investigation of both intra- and inter-session variability not only limited to electrophysiological changes, but also including alterations in resting and cognitive states, at high temporal resolution. Also, this dataset is expected to add contributions to the reliability and validity of EEG measurements with open resource. Measurement(s) resting and cogntive state EEG Technology Type(s) electroencephalography (EEG) Factor Type(s) session Sample Characteristic - Organism human being