Pierrick Coupé A

The paper examines how gender inequality affects brain grey matter differences between males and females across age and geography, finding a cumulative effect with age and economic factors dominating the influence.

This paper uses deep learning to generate disconnectomes from stroke lesion masks, achieving faster computation and better prediction of post-stroke cognitive and behavioral outcomes.

This study models lifespan brain atrophy trajectories in MS patients and healthy controls, identifying early subcortical structures affected before clinical diagnosis.

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

The paper infers brain structure volume trajectories across the lifespan using MRI data to show early divergence in AD biomarkers like hippocampus and amygdala before 40 years.