Personal profile
Scientific Focus
Our interdisciplinary team is striving to improve the prediction of mental disorders in young high-risk patients, and in investigating the neurofunctional mechanisms and efficacy of potential innovative treatments such as cannabinoids and psychedelics. We use a variety of methods including structural and functional neuroimaging, neurocognitive and genetic methods, computational modelling, deep brain stimulation as well as pharmacological and clinical studies.
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
DFG Research Classification Scheme
- 2.23-10 Clinical Psychiatry, Psychotherapy, Child and Adolescent Psychiatry
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Research output
-
Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis
Hu, Y., Frisman, M., Andreou, C., Avram, M., Riecher-Rössler, A., Borgwardt, S., Barth, E. & Korda, A., 07.2025, In: Computers in Biology and Medicine. 193, 110333.Research output: Journal Articles › Journal articles › Research › peer-review
Organisations
-
Clinic of Psychiatry and Psychotherapy
Organisational unit: Institutes and Clinics