on006110
PsiConnect
ANAT DWI EEG FMAP FUNC
…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
Discover datasets
75 results for "fMRI" · page 3 of 8 · ranked by relevance
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- on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
ANAT EEG FMAP FUNC…https://osf.io/a5qmv/ The dataset contains raw fMRI scans, raw EEG…
- Participants
- 20
- Size
- 429 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005530
Depotentiation of emotional reactivity using TMR during REM sleep
ANAT BEH EEG FMAP FUNC…Online follow-up (2 weeks after baseline) ## Data Acquisition - **fMRI**: Acquired using…
- Participants
- 18
- Channels
- 10 (10-20)
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007463
Very-High-Density Diffuse Optical Tomography System Validation Dataset
ANAT FUNC NIRS…Preprocessed fMRI data used for comparisons to VHD-DOT are in the…
- Participants
- 8
- Size
- 237 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005345
Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset
ANAT EEG FUNC…Session Breakdown - The entire session lasted approximately 70 minutes for fMRI participants…
- Participants
- 26
- Channels
- 64
- Citations
- 3
- Size
- 405 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000347
Shi et al. 2025 — HEFMI-ICH: a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in intracerebral hemorrhage
EEGHEFMI-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.
- Participants
- 37
- Channels
- 32 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 6.42 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005127
AMRI 16-N-0031 sleep1
ANAT EEG FUNC…data from an overnight EEG-fMRI study, performed in the Advanced MRI…
- Participants
- 16
- Channels
- 63
- Size
- 2.20 TB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 1
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006576
The role of REM sleep in neural differentiation of memories in the hippocampus
ANAT EEG FMAP FUNC…The dataset includes 69 participants with three fMRI scans and one EEG…
- Participants
- 69
- Channels
- 64 (other)
- Citations
- 2
- Size
- 650 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on000248ANAT MEG
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.
- Participants
- 2
- Size
- 1.93 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026