The BMI-HDEEG dataset 4
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 56
- Channels
- 129 (egi-geodesic)
- Citations
- 8
- Size
- 38.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
97 results for "Sensorimotor Cortex" · page 3 of 10 · ranked by relevance
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
…During each session, participants were exposed to sensorimotor perturbations (either virtual-reality…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
…cortex study ==================================== Functional near-infrared spectroscopy (fNIRS) recordings of human auditory cortex…
Imported from OpenNeuro ds004362
…DISC Validation in Rat Somatosensory Cortex Project ID: 000 Expected experimentation period…
[ recordings from human participants viewing large-scale naturalistic ImageNet stimuli, extending the previously collected Natural Object Dataset (NOD-fMRI) with temporally resolved neural data. Combined with corresponding fMRI and EEG datasets from the same subjects, NOD-MEG enables multimodal investigation of object recognition across both spatial and temporal domains. The dataset is intended as a resource for studying neural mechanisms of visual object recognition under naturalistic viewing conditions.
…DLPFC; dorsolateral pre-frontal cortex, OFC; orbitofrontal cortex, PPC; posterior parietal cortex…