100 results for "EEG-fMRI" · page 4 of 10 · ranked by relevance
…sleep This dataset contains fMRI and EEG data from a study investigating…
…The order of the EEG and fMRI sessions was counterbalanced across all…
EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.
…They completed both fMRI and MEG visits (first completed fMRI then MEG…
…Preprocessed fMRI data used for comparisons to VHD-DOT are in the…
…who participated in both EEG and fMRI experiments. The participants were all…
Imported from OpenNeuro ds004022
…ECG) and photoplethysmography (PPG) data eeg - EEG data pupil - pupillometry and eye…
…https://github.com/LTU-Machine-Learning/Inner_Speech_EEG_FMRI Publication available…
This dataset (WBCIC-SHU) contains multi-day EEG recordings from 51 healthy, right-handed, BCI-naive subjects performing a motor imagery brain-computer interface paradigm across three sessions per subject. Participants imagined left-hand, right-hand, or (for a subset of 11 subjects) foot movements in response to visual and auditory cues, yielding 39,600 trials in total. The dataset is intended for benchmarking motor imagery classification algorithms such as CSP, FBCSP, EEGNet, deepConvNet, and FBCNet, and was converted to BIDS format using MOABB.