Alexander Genauck

Neural correlates of cue-induced changes in decision-making distinguish subjects with gambling disorder from healthy controls

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

Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controls

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.

Altered orbitofrontal sulcogyral patterns in gambling disorder: a multicenter study

This study finds a skewed distribution of orbitofrontal sulcogyral patterns in gambling disorder, with increased prevalence of Type II patterns compared to healthy controls.