Visual stimuli reconstruction from simultaneous fMRI-EEG signals

Title	Visual stimuli reconstruction from simultaneous fMRI-EEG signals
Authors	Daniil Dorin, Nikita Kiselev, Kirill Semkin
Advisor	Vadim Strijov, DSc
Consultant	Andrey Grabovoy, PhD

🔎 Idea and Novelty

• Reconstruct images, which participants viewed during the simultaneous fMRI-EEG procedure
• There is no method that uses a simultaneous fMRI-EEG signal (only fMRI / EEG separately)
• LinkReview

💡 Abstract

The study investigates the task of reconstructing visual stimuli from simultaneous functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) signals. A novel method for reconstructing visual stimuli using diffusion neural networks has been proposed. A technique for encoding simultaneous fMRI and EEG data has been developed, and supervised learning has been applied to train the encoding architecture. Experiments were conducted on a state-of-the-art dataset with a large number of participants.

🔗 Useful links

• Brain Imaging Data Structure (BIDS) Starter Kit