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
76 results for "BOLD fMRI" · page 3 of 8 · ranked by relevance
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- on005795
MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
ANAT EEG FUNC…For the 10 min rs-fMRI, they were asked to close their…
- Participants
- 34
- Channels
- 72 (10-10)
- Size
- 6.43 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 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.
- Participants
- 37
- Channels
- 32 (10-10)
- Citations
- 4
- HED
- v8.4.0
- Size
- 2.58 GB
- Version
- v1.0.1
- Updated
- Jul 10, 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
- 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
- 4
- Size
- 405 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC…https://github.com/LTU-Machine-Learning/Inner_Speech_EEG_FMRI Publication available…
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
ANAT MEGMEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.
- Participants
- 27
- Citations
- 42
- Size
- 99.3 GB
- Version
- v1.0.1
- 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
- Jul 10, 2026
- on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
ANAT DWI EEGVEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
- Participants
- 20
- Channels
- 128 (biosemi)
- Size
- 58.2 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026