FRESH Motor Dataset
[. The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
This dataset comprises intracranial EEG recordings from 23 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. The dataset includes 41 high-frequency stimulation events that evoked negative motor responses, with 24-second iEEG recordings per stimulation event (9-10 seconds pre-stimulation, up to 5 seconds stimulation, and 9-10 seconds post-stimulation). Stimulation parameters, contact pairs, current intensities, and evoked effects are documented in event files, enabling analysis of cortical responses to electrical stimulation.
…neural activity in the parietal cortex, the precise role of this brain…
This dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
This open multimodal dataset combines intracranial electroencephalography (iEEG) and functional magnetic resonance imaging (fMRI) recordings from patients during naturalistic audiovisual film stimulation. The dataset includes simultaneous electrocorticography and fMRI data collected during a short film presentation, providing a unique resource for investigating neural responses to complex naturalistic stimuli across multiple recording modalities and spatial scales.
HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling integrated spatiotemporal analysis of brain responses to visual action stimuli.
[, resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
This dataset comprises simultaneous EEG-fMRI recordings from 3 subjects across 2 sessions during inner speech tasks. Data were acquired using a 3T MRI scanner and 64-channel BrainProducts EEG system with EEG sampling at 5000 Hz and fMRI TR of 2s. The dataset includes preprocessed EEG with pulse artifact removal and is organized in BIDS format to facilitate multimodal neuroimaging analysis of inner speech mechanisms. This is a BIDS-converted version derived from OpenNeuro dataset ds006033.