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

Sci Data. 2022 Sep 13;9(1):566. doi: 10.1038/s41597-022-01607-9.

Abstract

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.

Publication types

  • Dataset

MeSH terms

  • Cognition* / physiology
  • Electroencephalography*
  • Emotions
  • Humans
  • Reproducibility of Results
  • Rest* / physiology