Synchronous EEG and fMRI dataset on inner speech
…with TR=2s. ## Data Organization - Functional MRI data: `sub-xx/ses-xx…
- Participants
- 3
- Channels
- 64
- Citations
- 1
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "functional near-infrared spectroscopy" · page 9 of 10 · ranked by relevance
…with TR=2s. ## Data Organization - Functional MRI data: `sub-xx/ses-xx…
NEMAR Dataset nm000107: wrist - Wrist movement control from EMG
This dataset contains EEG recordings from a frequency-tagging study investigating how the brain integrates observed actions that are visually or semantically dissimilar. Participants viewed action stimuli tagged at distinct frequencies while neural responses were recorded to examine integration effects in the frequency domain. The data are organized according to the BIDS-EEG standard.
A classical motor imagery EEG dataset comprising recordings from 7 healthy subjects performing left hand, right hand, and passive rest tasks. The dataset contains 19-channel EEG data sampled at 200 Hz with visual arrow cues guiding motor imagery tasks. This benchmark dataset is designed for evaluating brain-computer interface algorithms and motor imagery classification methods.
…Human Action Dataset (HAD), a functional magnetic resonance imaging (fMRI) resource. However…
…ratio. * Neuroimaging data: * Functional data — electroencefalography (EEG) and functional magnetic resonance imaging…
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.
…We applied bipolar referencing by considering all nearest neighbour chanels, thus resulting…
This dataset contains 64-channel EEG recordings from 25 healthy human subjects performing a motor imagery brain-computer interface (BCI) task combined with overt spatial attention, across 5 sessions per subject. Participants imagined left- or right-hand movements while receiving continuous cursor feedback, enabling study of integrated motor imagery and spatial attention paradigms for BCI control. The dataset was converted to BIDS format using MOABB from source data originally collected at Carnegie Mellon University.
…Pupil Labs Pupil Core eye tracking with infrared illuminators; LSL relay with…