Daniel Hauke, MSc, PhD Candidate
Models of persecutory delusions: A mechanistic insight into the early stages of psychosis
Identifying robust markers for predicting the onset of psychosis has been a key challenge for early detection research. Persecutory delusions are core symptoms of psychosis, and social cognition is particularly impaired in first episode psychosis patients and individuals at risk for developing psychosis. In this project, we propose new avenues for translation provided by hierarchical Bayesian models of behaviour and neuroimaging data applied in the context of social learning to target persecutory delusions. As it comprises a mechanistic model embedded in neurophysiology, the findings of this approach may shed light onto inference and neurobiological causes of transition to psychosis.
Hauke, D.J., Schmidt, A., Studerus, E., et al. (2021). Multimodal prognosis of negative symptom severity in individuals at increased risk of developing psychosis. Transl. Psychiatry 11, 1–11.
Diaconescu, A. O., Hauke, D. J., & Borgwardt, S. (2019). Models of persecutory delusions: a mechanistic insight into the early stages of psychosis. Molecular Psychiatry: 1.
Das T, Borgwardt S, Hauke DJ, Harrisberger F, Lang UE, Riecher-Rössler A. et al. (2018) Disorganized Gyrification Network Properties During the Transition to Psychosis JAMA Psychiatry,75:613–622.
A detailed publication list can be accessed here.