Main Content
  • Resource Database

Computational Clinical Neuroimaging

Unlike most other diseases defined by a common biological cause (e.g., cancers), mental disorders are assessed, diagnosed, and treated based on observation of symptoms. However, a quantitative framework explaining symptom dynamics (how symptoms start, how they change and decline/increase over time) and how they relate to neurobiological metrics such as brain structure, functional brain activity, and genetic expressions, is still missing. For instance, it remains a mystery why and which people experience major depression, but the others seem to be immune. In the overarching group for Computational Neuroimaging, we study these questions using combined expertise from three different angles: advanced neuroimaging protocols supported by the core-facility neuroimaging, advanced computational tools supported by the group of computational psychiatry (e.g., Network Sciences, dynamical systems theory, network control theory, and machine learning), and clinical expertise.  Our imaging tools include structural and functional MRI, Diffusion Imaging (DTI/DSI/DWI), EEG, and simultaneous neuroimaging such as EEG/fMRI. The group for computational neuroimaging is heavily connected to several other groups and conditions, such as DFG research unit FOR2107 and national center for affective disorders, and actively seeks collaborations with other department who have similar goals.

How to reach us

  • Univ.-Prof. Dr. rer. nat. Andreas Jansen
            Email: Andreas.Jansen ~at

  • Prof. Dr. rer. nat. Hamidreza Jamalabadi
            Email: hamidreza.jamalabadi ~at