TDCS Modulation of Visual Cortex in Motor Imagery
Imported from OpenNeuro ds006126
- Participants
- 6
- Channels
- 3 (other)
- Size
- 1.08 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
79 results for "fNIRS" · page 4 of 8 · ranked by relevance
Imported from OpenNeuro ds006126
This dataset comprises high-density diffuse optical tomography (HD-DOT) neuroimaging data from 5 participants performing functional localizer and naturalistic movie viewing tasks. Data are provided in SNIRF format with optode positions and anatomical landmarks registered to subject-specific head models, enabling investigation of brain function during audiovisual stimulation using optical neuroimaging methods.
This dataset contains 32-channel EEG recordings from 22 healthy adults performing a visual imagery task involving 10 categories of animals, figures, and objects. Data were collected across two sessions per subject using a Neuracle NeuSenW32 system at 1000 Hz sampling rate, and are formatted according to BIDS for use in brain-computer interface research. The dataset supports evaluation of classification approaches such as CSP and EEGNet for decoding imagined visual categories from EEG signals.
This dataset comprises electroencephalography (EEG) recordings from 50 acute stroke patients (1-30 days post-stroke) performing motor imagery tasks of left- and right-handed hand-grip movements. Recorded using a wireless 29-channel EEG system at 500 Hz, the dataset includes raw and preprocessed data, representing the first open resource addressing left- and right-handed motor imagery in the acute stroke population. The dataset supports brain-computer interface (BCI) algorithm development and clinical rehabilitation applications.
[ and flash types (standard flash or cartoon face overlay). EEG data were acquired from eight scalp electrodes at 256 Hz sampling rate, with detailed event markers encoding experimental phases and stimulus presentations.
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