on006222
MultisensoryFlickerHealthyYoungAdults_AllSubjectsRawData
EEG
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- Size
- 14.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain network dynamics" · page 8 of 10 · ranked by relevance
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- on004625
Mind in Motion Young Adults Walking Over Uneven Terrain
EEGThis dataset comprises multimodal neurophysiological and biomechanical recordings from 32 young adults performing walking tasks over uneven terrain at varying speeds. Data include high-density dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction forces, and structural MRI-derived head models. Each participant completed two trials per condition lasting three minutes, plus a seated rest baseline, providing a comprehensive resource for investigating neural and muscular control mechanisms during dynamic locomotion.
- Participants
- 32
- Channels
- 120 (other)
- Size
- 61.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004444
The BMI-HDEEG dataset 1
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Size
- 48.6 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on004362
EEG Motor Movement/Imagery Dataset
EEGImported from OpenNeuro ds004362
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 95
- HED
- v8.1.0
- Size
- 11.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004460
EEG and motion capture data set for a full-body/joystick rotation task
EEG MOTION…Human cortical dynamics during full-body heading changes. Scientific Reports, 11(1…
- Participants
- 20
- Channels
- 160 (other)
- Size
- 61.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEGA longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
- Participants
- 18
- Channels
- 22 (10-10)
- HED
- v8.4.0
- Size
- 1.66 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors
EEGThis EEG-BIDS dataset contains cue-locked recordings from 43 neurotypical adults performing a random-dot kinematogram task designed to dissociate low-level and high-level priors during perceptual decision-making. The study investigates how hierarchical priors bias behavior and modulate occipital oscillatory and aperiodic EEG activity using signal detection theory and generalized drift-diffusion modeling. Three within-subject conditions (baseline, low-level prior, high-level prior) were tested with individualized motion coherence thresholds.
- Participants
- 43
- Channels
- 31 (10-10)
- Size
- 8.76 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006720
Alpha power indexes working memory load for durations
ANAT MEG…interested in neural dynamics in the healthy adult brain, in relation to…
- Participants
- 24
- Size
- 136 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007609
Resting-State EEG and Trait Anxiety
EEG…EEG alpha/theta power, oscillatory dynamics, and trait anxiety. Participants ------------ 51 right…
- Participants
- 51
- Channels
- 256 (egi-geodesic)
- Size
- 14.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026