100 results for "simultaneous EEG-fMRI" · page 4 of 10 · ranked by relevance
Imported from OpenNeuro ds004022
…contains data from an overnight EEG-fMRI study, performed in the Advanced…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…Real-time decoding with trained decoder ## Preprocessing note The EEG channels were…
…Preprocessed fMRI data used for comparisons to VHD-DOT are in the…
…who participated in both EEG and fMRI experiments. The participants were all…
…slept in the MRI with EEG for 1-2 hours (sleep session…
EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings from 60 participants exposed to video-induced and imagery-induced emotional stimuli across seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, and neutral). This dataset addresses the critical gap in cross-context emotion decoding by enabling investigation of how emotional neural responses generalize across different elicitation contexts, with demonstrated classification accuracies of 66.7% for binary emotion classification and 28.9% for seven-category emotion classification using machine learning approaches.
…We further performed spatial smoothing on the preprocessed fMRI data (post-fMRIPrep…