PsiConnect
…fMRI data was obtained through multi-echo fMRI, enhancing signal-to-noise…
- Participants
- 65
- Channels
- 64 (10-10)
- Size
- 936 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
75 results for "fMRI" · page 3 of 8 · ranked by relevance
…fMRI data was obtained through multi-echo fMRI, enhancing signal-to-noise…
…https://osf.io/a5qmv/ The dataset contains raw fMRI scans, raw EEG…
…Preprocessed fMRI data used for comparisons to VHD-DOT are in the…
…Session Breakdown - The entire session lasted approximately 70 minutes for fMRI participants…
…Online follow-up (2 weeks after baseline) ## Data Acquisition - **fMRI**: Acquired using…
…data from an overnight EEG-fMRI study, performed in the Advanced MRI…
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 1-6 sessions per subject. With 32-channel EEG recordings at 256 Hz and approximately 3,330 trials, this dataset supports the development and evaluation of BCI systems for clinical stroke rehabilitation.
This EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
…The dataset includes 69 participants with three fMRI scans and one EEG…
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.