Lídice Galán‐Garcia

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

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

The paper explores the plausibility of the membrane pollution hypothesis by simulating the effects of increased membrane micro-viscosity on pacemaker activity.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper examines intra-V1 networks during perceptual tasks, finding condition-specific connection strengths linked to visual field regions.

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

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.