Scientific Data (Sep 2024)

Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up

  • Stephan Getzmann,
  • Patrick D. Gajewski,
  • Daniel Schneider,
  • Edmund Wascher

DOI
https://doi.org/10.1038/s41597-024-03797-w
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 5

Abstract

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Abstract This dataset consists of 64-channels resting-state EEG recordings of 608 participants aged between 20 and 70 years, 61.8% female, as well as follow-up measurements after approximately 5 years of 208 participants, starting 2021. The EEG was measured for three minutes with eyes open and eyes closed before and after a 2-hour block of cognitive experimental tasks. The data set is part of the Dortmund Vital Study, a prospective study on the determinants of healthy cognitive aging. The dataset can be used for (1) analyzing cross-sectional resting-state EEG of healthy individuals across the adult life span; (2) generating normalization data sets for comparison of resting-state EEG data of patients with clinically relevant disorders; (3) studying effects of performing cognitive tasks on resting-state EEG and age; (4) exploring intra-individual changes in resting-state EEG and effects of task performance over a time period of about 5 years. The data are provided in Brain Imaging Data Structure (BIDS) format and are available on OpenNeuro.