Dortmund Vital Study resting EEG

Description

This dataset is the resting-state EEG arm of the Dortmund Vital Study (DVS), a prospective, combined cross-sectional and longitudinal cohort study on the determinants of healthy cognitive aging across the adult working lifespan (Wascher et al., 2024; Gajewski et al., 2022). It was collected at the Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Germany. The published OpenNeuro release (“Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up”) comprises 64-channel resting-state EEG from 608 healthy adults aged 20-70 years, recorded with eyes open and eyes closed both before and after a ~2-hour block of cognitive tasks; follow-up recordings ~5 years later are available for 208 of those participants (Wascher et al., 2024). The parent DVS protocol spans EEG, ECG, MRI, blood/genetic markers, and an extensive cognitive battery, with follow-up waves planned every 5 years through 2035 (Gajewski et al., 2022).

Citation

• Paper DOI: 10.1038/s41597-024-03797-w
• Dataset DOI: 10.18112/openneuro.ds005385.v1.0.3
• Reference: Wascher, E., Schneider, D., Gajewski, P. D., & Getzmann, S. (2024). Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up. Scientific Data 11, 988. Author order TODO(confirm) against the DOI (§10.11 item 11).

Catalog citation block

Wascher, E., Schneider, D., Gajewski, P. D., & Getzmann, S. (2024). Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up. Scientific Data, 11, 988. doi: 10.1038/s41597-024-03797-w. Dataset: OpenNeuro ds005385 v1.0.3, doi: 10.18112/openneuro.ds005385.v1.0.3, released under CC0.

Gajewski, P. D., Getzmann, S., Bröde, P., et al. (2022). Impact of Biological and Lifestyle Factors on Cognitive Aging and Work Ability in the Dortmund Vital Study: Protocol of an Interdisciplinary, Cross-sectional, and Longitudinal Study. JMIR Research Protocols, 11(3), e32352. doi: 10.2196/32352. Registered as clinical trial NCT05155397.

Download and access

Field	Value
Official source	https://openneuro.org/datasets/ds005385
Access class	open
Size	OpenNeuro snapshot 17,541 files / 74.2 GB
Format	edf
BIDS	true
Mirrors	NEMAR ds005385

Source & access

• Repository: OpenNeuro, accession ds005385 — https://openneuro.org/datasets/ds005385
• DOI (version 1.0.3): 10.18112/openneuro.ds005385.v1.0.3
• License: CC0 (public domain dedication)
• Mirrors: also indexed on NeMAR (nemar.org/dataexplorer/detail?dataset_id=ds005385) and EEG-Dash. The full OpenNeuro snapshot is reported as 17,541 files / 74.2 GB.

Data structure

Data are organized in BIDS v1.9.0 with raw, non-preprocessed EEG stored as EDF (*_eeg.edf) plus the standard BIDS sidecars (participants.tsv, *_eeg.json, *_channels.tsv, *_events.tsv).

The OpenNeuro snapshot is distributed via DataLad/git-annex like other OpenNeuro datasets; large EDFs are annexed.

License

• Name: CC0
• Note (verbatim from the directory): CC0 on OpenNeuro; the data-descriptor paper text states CC BY 4.0 — the repository’s data license governs
• Snippets on this site: allowed — the site may ship short derived snippets and precomputed products from this dataset, labelled as derivatives (re-referenced, filtered, cropped) with citation, license and DOI.

Acquisition

Field	Value
Device	Brain Products BrainAmp DC, 64-channel elastic cap (extended 10-20)
Device class	research-cap
Channels	64
Sampling rate (Hz)	1000 (registry value: raw 1000)
Online filters	250 Hz online low-pass; no online high-pass; no online notch
Reference	FCz
Mains frequency (Hz)	50
Paradigms	rest-ec, rest-eo
Participants	608 (608 unique participants at baseline (ses-1); 208 follow-up sessions (ses-2) are repeat recordings; registry value: baseline 608, followup 208)
Population	608 healthy adults 20–70 (376 F / 232 M); 208 re-recorded ~5 years later
Clinical groups	none
Sessions	2
Durations	3-min EC and 3-min EO, each before and after a ~2-h cognitive battery (four conditions per session); ses-2 for 208 participants

Acquisition

Resting-state EEG was recorded on a BrainVision BrainAmp DC amplifier with BrainVision Recorder software (Brain Products GmbH) from a 64-channel elastic cap arranged according to the (extended) international 10-20 system (Wascher et al., 2024). The online reference was FCz; the descriptor names FCz as the on-line reference but does not separately document a ground electrode label. The sampling rate was 1000 Hz with a 250 Hz online low-pass filter and no online high-pass filter; electrode impedances were kept below 10 kΩ. Each resting-state condition was recorded for 3 minutes (~180 s). The parent protocol additionally describes a separate Day-2 BioSemi 32-channel / 2048 Hz montage, but the OpenNeuro release here is the Day-1 BrainAmp 64-channel resting-state data only.

Participants

Baseline (ses-1) comprises 608 participants, mean age 44.1 years (SD 14.5), range 20-70, of whom 376 (61.8%) are female and 232 (38.2%) male (Wascher et al., 2024). Handedness is 566 right-handed (93.1%), 40 left-handed (6.6%), and 2 unknown. The 5-year follow-up (ses-2) includes 208 participants (130 female [62.5%], 78 male [37.5%]); these are a re-recorded subset of the baseline cohort, with follow-up collection beginning in 2021. Participants are described as healthy working-age adults; detailed inclusion/exclusion criteria (e.g., absence of neurological/psychiatric disease) are specified in the parent protocol (Gajewski et al., 2022).

Tasks / conditions

The release contains four resting-state conditions per session: eyes closed and eyes open, each measured before (“pre”) and after (“post”) an intervening ~2-hour block of cognitive experimental tasks (Wascher et al., 2024). Here “pre”/“post” denote within-session timing relative to the cognitive battery — not the two longitudinal sessions. The two sessions are ses-1 (baseline, 608 subjects) and ses-2 (~5-year follow-up, 208 subjects). The intervening cognitive battery (part of the broader DVS Day-1/Day-2 protocol) covers attention, vigilance, conflict processing, working memory, task switching, executive function, and inhibitory control (Gajewski et al., 2022); only the resting-state segments are included in this EEG release.

Used on this site

L0.4, L1.6, C1, L6.3, L7.6, w-raw-scroller, w-bad-channel-detective, w-burst-detector

Loader

Fetches only the stated subset. Recorded loader: DataLad (OpenNeuro ds005385).

# OpenNeuro serves ds005385 as a DataLad/git-annex repository; fetch one subject only.
datalad install https://github.com/OpenNeuroDatasets/ds005385.git
cd ds005385
datalad get sub-001   # replace with the subject id you need

Caveats worth knowing

• “pre”/“post” are within-session labels around a cognitive battery, not the two longitudinal sessions.
• The OpenNeuro page and the paper state different licenses (CC0 vs CC BY 4.0).
• EC and EO are separate recordings — no within-file transition.

Notable caveats

• “Pre”/“post” vs sessions: “pre”/“post” are within-session (around the cognitive battery), not session labels — do not confuse with ses-1 / ses-2.
• Follow-up subset: ses-2 (n=208) is a partial re-recording of the baseline cohort, not an independent sample; longitudinal analyses must match by participant_id.
• Authorship note: the dataset descriptor is authored by Wascher, Schneider, Gajewski & Getzmann (2024); Falkenstein is associated with earlier IfADo aging work but is not an author of this release or the current DVS protocol.

Related datasets

• ERP CORE (Compendium of Open Resources and Experiments)
• EEG Motor Movement/Imagery Dataset (EEGMMIDB)
• LEMON (MPI-Leipzig Mind-Brain-Body)
• SRM Resting-state EEG
• EEG During Mental Arithmetic Tasks (EEGMAT)

# Loader recorded in the catalog: DataLad (OpenNeuro ds005385)
# TODO(confirm) the exact call and the subset to fetch. Official source: https://openneuro.org/datasets/ds005385