Deirel Paz-Linares

The paper compares EEG patterns between COVID-19 survivors, close contacts, and a normative database to identify brain function impairments and abnormal activity patterns.

This paper develops multinational qEEG norms using Hermitian Riemannian methods, showing improved diagnostic accuracy for brain dysfunction and providing harmonization tools.

This study compares EEG connectivity in full-term and preterm infants during their first year, finding age-related trends and differences between groups.

The paper compares EEG and MEG source spectra using BC-VARETA and finds no differences in reconstructed sources between the two modalities.

This paper introduces a method to control leakage in electrophysiological source imaging using structured sparse Bayesian learning and evaluates its performance against existing methods.

The paper introduces EECoG-Comp, an open-source platform for analyzing EECoG data, and evaluates four ESI methods on a real dataset and simulations, highlighting their limitations.

This paper introduces BC-VARETA, a method for estimating brain sources and connectivity from M/EEG data using a frequency domain approach and sparse modeling.