EEG-Asymmetries Dataset
…All participants started with a resting state (RS) of approximately eight minutes…
- Participants
- 100
- Channels
- 32 (10-10)
- Size
- 11.0 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "resting state" · page 8 of 10 · ranked by relevance
…All participants started with a resting state (RS) of approximately eight minutes…
[, and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.
…and consists of T1s, T2s, resting state scans (pre-op), es-fMRI…
…The dataset includes high-density resting-state and task-related (food preference…
This dataset comprises intracranial EEG (iEEG) recordings acquired during non-REM sleep from patients undergoing epilepsy monitoring across multiple clinical sites. The data were collected to support a comprehensive model of high-frequency activity (HFA) reported in Hatano et al. (in press). It is part one of a larger multi-part dataset release.
This dataset comprises intracranial EEG recordings obtained during non-REM sleep from patients undergoing clinical epilepsy monitoring. The data were collected to investigate high-frequency activity (HFA) and support a comprehensive model of cortical function, as described in Hatano et al. (in press). This dataset represents part 2 of a larger collection.
This dataset comprises multi-night ear-EEG and polysomnography (PSG) recordings collected between 2018 and 2020 to develop and validate ear-EEG as a home-based sleep monitoring platform. Twenty subjects were recorded across four nights with partial PSG, ear-EEG, and actigraphy, while ten of these subjects continued for an additional twelve nights using only ear-EEG, actigraphy, and a single EOG electrode. Supplementary behavioral data include nightly comfort questionnaires, sleep diaries, and actigraphy recordings, providing a rich resource for studying sleep physiology and wearable EEG signal quality.
…i) resting state with eyes open, ii) mixed median nerve stimulation (arm…
The PREDICT dataset comprises electroencephalography (EEG) recordings collected to investigate predictive markers related to pain and sensorimotor processing across multiple participants and sessions. It is intended to support research into individual variability in cortical responses, contributing to studies of pain chronification and neural predictors of clinical outcomes. This dataset is mirrored on NEMAR from an original OpenNeuro release.