Andrea Bernasconi

This study links structural network changes in epilepsy syndromes to risk gene expression patterns using ENIGMA data.

The paper identifies microglial activation as a factor contributing to cortical thinning in epilepsy by integrating neuroimaging and gene expression data.

The paper introduces a new spatial memory task and shows its correlation with structural and functional brain differences in temporal cortices.

The paper develops a continuous surface model of the mesiotemporal lobe's iso-to-allocortex transition and links it to functional dynamics and cognitive systems.

The paper identifies functional activation patterns during pattern separation in the hippocampus and neocortex, showing alignment with intrinsic connectivity gradients and performance differences in patients.

This study identifies white matter microstructural differences across epilepsy syndromes using diffusion MRI data from a large multicenter cohort.

This study identifies network associations with atrophy patterns in epilepsy using neuroimaging and connectome analysis across 1,021 patients and 1,564 controls.

This study identifies functional connectivity contractions in temporal lobe epilepsy, linked to microstructural white matter changes and predictive of surgical outcomes.

The paper examines age-related changes in brain structure and metabolism using multimodal imaging and connectome gradients, finding that higher-order transmodal regions show increased Aβ deposition and that hippocampal atrophy is more pronounced towards its posterior end.