Norbert Kathmann

This study analyzes fMRI data from OCD patients and controls to identify age-specific differences in brain activation during inhibitory control and error processing.

This study analyzes fMRI data from OCD patients and controls to identify neural activation patterns during executive control tasks, finding reduced activation in frontoparietal regions and increased default mode network activity in OCD.

This study investigates differential learning of fear and safety signs in OCD using Pavlovian conditioning, finding impaired learning during acquisition but not reversal.

This study identifies neural signatures of cue-induced decision-making differences between gambling disorder and healthy controls using fMRI and machine learning.

This study uses machine learning to show that cue-induced changes in gamble acceptance distinguish gambling disorder from healthy controls, with loss aversion not contributing to classification.