BCCWJ-MEG
…types of brain data (fMRI, MEG, and EEG) were acquired from separate…
- Participants
- 35
- Citations
- 74
- Size
- 166 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "EEG-fMRI" · page 7 of 10 · ranked by relevance
…types of brain data (fMRI, MEG, and EEG) were acquired from separate…
This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.
…Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face…
HEFMI-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.
…dataset We separately share the fMRI dataset at [https://openneuro.org/datasets…
The BNCI 2014-001 Motor Imagery dataset is a widely-used benchmark for brain-computer interface research, comprising EEG recordings from 9 healthy subjects performing four-class motor imagery tasks (left hand, right hand, feet, and tongue). Each subject completed two sessions with 6 runs per session, yielding 200 training and 240 test trials. The dataset features 22 EEG channels plus 3 EOG channels (25 total) sampled at 250 Hz with minimal preprocessing (bandpass filtering 0.05-200 Hz), making it a standard resource for evaluating multi-class motor imagery classification algorithms and cross-session transfer learning approaches.
…used in a publicly available fMRI dataset (Li et al., 2022). ------------------------------------------------------------------------ ## Experimental…
Imported from OpenNeuro ds005512
…These predictions were upheld in both fMRI and MEG, indicating that sequence…