Astrid Mayr

This study investigates how dynamic effective connectivity patterns in EEG data relate to fluctuating pain intensity in chronic migraine patients using Bayesian models.

This study examines how individual cortical connectivity dynamics relate to fluctuating pain intensity in chronic pain patients, finding unique patterns that challenge the notion of a common neuronal core.

The paper identifies individual cortical signatures of pain in chronic pain patients using fMRI and linear mixed effects models, revealing unique patterns of pain encoding in specific brain regions.