on006126
TDCS Modulation of Visual Cortex in Motor Imagery
EEG
Imported from OpenNeuro ds006126
- Participants
- 6
- Channels
- 3 (other)
- Size
- 1.08 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
79 results for "sensorimotor rhythms" · page 5 of 8 · ranked by relevance
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- on005692
SpinalExpect_NonInvasive
EEGThis dataset contains non-invasive spinal cord recordings from 30 healthy young subjects performing an auditory-somatosensory expectation task. Participants received electric median nerve stimulations preceded by auditory cues at either fixed (1100 ms) or variable (100-2100 ms) intervals, while counting rare double-stimulus trials. The study investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using high-frequency electrophysiological recordings from three electrode rings positioned around the cervical spine.
- Participants
- 30
- Channels
- 24 (other)
- Size
- 92.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007175
FFR-active-listening
EEGImported from OpenNeuro ds007175
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 226 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002723
A dataset recorded during development of an affective brain-computer music interface: testing session
EEGThis dataset contains EEG recordings from 8 healthy adult participants during real-time control of an affective brain-computer music interface (BCMI). Participants listened to 60-second music clips designed to induce specific emotional states defined by valence and arousal dimensions. The dataset includes continuous EEG data sampled at 1 kHz alongside self-reported affective state ratings, enabling investigation of neural correlates of emotion and the efficacy of real-time music-based emotional state modulation.
- Participants
- 8
- Channels
- 32 (10-10)
- Size
- 2.60 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000265
Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG and eye-tracking recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants imagining left and right hand movements in response to visual cues. Recorded at 1000 Hz using a 64-channel Neuroscan system, this dataset supports brain-computer interface research and motor imagery analysis.
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 8
- HED
- v8.4.0
- Size
- 9.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000145
Munich Motor Imagery dataset
EEG- Participants
- 10
- Channels
- 128 (other)
- HED
- v8.4.0
- Size
- 5.42 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002724
A dataset recorded during development of an affective brain-computer music interface: training sessions
EEGThis dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.
- Participants
- 10
- Channels
- 32 (10-10)
- Size
- 8.52 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment
EEGImported from OpenNeuro ds004022
- Participants
- 7
- Channels
- 18
- Citations
- 2
- Size
- 635 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006035
somatomotor
ANAT MEGA multi-modal neuroimaging dataset combining structural MRI, magnetoencephalography (MEG), and electroencephalography (EEG) recordings from multiple subjects during median nerve electrical stimulation and motor response tasks. Participants performed rapid left index finger lifts in response to right median nerve stimuli, providing a comprehensive resource for investigating somatosensory processing and motor control mechanisms.
- Participants
- 5
- Size
- 3.07 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026