Martina Lapera Sancho

This study identifies reproducibly important EEG markers of schizophrenia using an explainable multi-model deep learning approach and finds effects on beta, theta frequency bands, left hemisphere, and interhemispheric interactions.

This study introduces two novel convolutional neural networks for MDD diagnosis from EEG data, finding higher beta and delta power and right hemisphere correlation in MDD patients.

This study uses clustering and feature importance analysis on fMRI data to identify cognitive differences between brain network groups in a large population.