on006525
Resting EEG
ANAT EEG
[
- Size
- 3.00 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "functional neuroimaging" · page 6 of 10 · ranked by relevance
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- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEGThis dataset comprises longitudinal motor imagery EEG recordings from 18 BCI-naive subjects across six sessions (one offline, five online), designed to study transfer learning and skill acquisition in brain-computer interfaces (BCIs). It compares two domain adaptation frameworks—Generic Recentering and Personally Assisted Recentering—for calibration-free BCI training using left/right hand motor imagery with visual feedback. Data were collected at 512 Hz with 22 EEG channels and analyzed using Riemannian geometry-based classifiers.
- Participants
- 18
- Channels
- 22 (10-10)
- Citations
- 49
- HED
- v8.4.0
- Size
- 14.4 GB
- Version
- v1.0.4
- Updated
- Aug 20, 2026
- nm000347
Shi et al. 2025 — HEFMI-ICH: a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in intracerebral hemorrhage
EEGHEFMI-ICH is a hybrid EEG-fNIRS motor imagery dataset designed for brain-computer interface applications in intracerebral hemorrhage rehabilitation. The dataset comprises 37 participants (17 healthy controls and 20 ICH patients) performing 2-class hand motor imagery tasks (left and right hand grasping) across multiple sessions. With 32-channel EEG recordings at 256 Hz and 3,330 trials, this dataset supports the development and evaluation of BCI systems for clinical stroke rehabilitation.
- Participants
- 37
- Channels
- 32 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 6.42 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005346
Naturalistic fMRI and MEG recordings during viewing of a reality TV show
ANAT FUNC MEG…Preprocessing was carried out with fMRIPrep (v20.2.0), following standard neuroimaging…
- Participants
- 60
- Citations
- 2
- Size
- 112 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 99
- HED
- v8.4.0
- Size
- 121 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- nm000144
BNCI 2015-004 Mental tasks dataset
EEGThis EEG dataset comprises recordings from 9 individuals with CNS tissue damage (stroke and spinal cord injury) performing five mental imagery tasks: word association, mental subtraction, spatial navigation, and motor imagery of the right hand and feet. Data were collected across two sessions using 30-channel EEG at 256 Hz with visual cue-guided paradigm. The dataset includes preprocessed signals with artifact rejection and is intended for brain-computer interface research and motor imagery classification studies.
- Participants
- 9
- Channels
- 30 (10-10)
- Citations
- 74
- HED
- v8.4.0
- Size
- 2.74 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEGThis dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Citations
- 5
- Size
- 153 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEGThis dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
- Participants
- 86
- Channels
- 63 (10-10)
- Citations
- 61
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007558
EEG Pre/Post Intervention Dataset
EEG…used for: - EEG signal analysis - Functional connectivity studies - Pre/post intervention comparisons…
- Participants
- 67
- Channels
- 19 (10-20)
- Size
- 686 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026