Prof.Dr. Nikolaus Koutsouleris

Managing Consultant of the Clinic


Research Focus

My research aims at extracting predictive and diagnostic information from diverse neurobiological, neurocognitive and clinical data for an improved early recognition of affective and non-affective psychoses. For this purpose, I have been conducting cross-sectional and longitudinal studies of persons at an increased risk of developing psychotic illness and examined them with structural MRI, neuropsychological testing and clinical evaluations within the specialized Early Recognition Service of our Department. Using advanced pattern recognition methods, which I implemented during my postdoctoral work, I was able to identify and cross-validate MRI and neurocognitive biomarkers allowing for an accurate, single-subject prediction of psychoses. As Head of the Department’s Early Psychosis Studies and Section for Neurodiagnostic Applications, I am striving to develop and implement prognostic and diagnostic models that (1) enable an effective personalized management of high-risk individuals across different centers and healthcare settings, (2) facilitate the individualized stratification of risk for disease onset, chronicity and poor functional outcomes across different psychiatric disorders, and (3) improve our understanding of the diagnostic boundaries between and within these disease entities based on multivariate subgroup identification methods. Equally important, I train new investigators at the pre- and post-doctoral levels to comprehensively analyze complex, high-dimensional data using multivariate analysis methods. 


Most relevant to the current application

  1. Koutsouleris N, Meisenzahl EM, Davatzikos C, Bottlender R, Frodl T, Scheuerecker J, Schmitt G, Zetzsche T, Decker P, Reiser M, Möller HJ, Gaser C. Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Archives of General Psychiatry. 2009; 66(7):700-12 (IF: 15.9).
  2. Koutsouleris N, Meisenzahl EM, Borgwardt S, Riecher-Rössler A, Frodl T, Kambeitz J, Köhler Y, Falkai P, Möller HJ, Reiser M, Davatzikos C. Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers. Brain. 2015 Jul;138(Pt 7):2059-73. IF: 10.2
  3. Koutsouleris N, Kahn RS, Chekroud AM, Leucht S, Falkai P, Wobrock T, Derks EM, Fleischhacker WW, Hasan A. Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach. Lancet Psychiatry. 2016 Aug 25. pii: S2215-0366(16)30171-7. doi:10.1016/S2215-0366(16)30171-7, (IF: 5.8)
  4. Kambeitz J, Kambeitz-Ilankovic L, Leucht S, Wood S, Davatzikos C, Malchow B, Falkai P, Koutsouleris N. Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies. Neuropsychopharmacology. 2015 Jun;40(7):1742-51. (IF: 7.5)
  5. Koutsouleris N, Riecher-Rössler A, Meisenzahl E, Smieskova R, Studerus E, Kambeitz-Ilankovic L, von Saldern S, Cabral C, Reiser M, Falkai P, Borgwardt S. Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers. Schizophrenia Bulletin. 2014, in press: doi: 10.1093/schbul/sbu078
  6. Koutsouleris N, Davatzikos C, Borgwardt S, Gaser C, Bottlender R, Frodl T, Falkai P, Riecher-Rössler A, Möller HJ, Reiser M, Pantelis C, Meisenzahl E. Accelerated Brain Aging in Schizophrenia and Beyond: A Neuroanatomical Marker of Psychiatric Disorders. Schizophrenia Bulletin. 2014 Sep;40(5):1140-53
  7. Koutsouleris N, Borgwardt S, Meisenzahl EM, Bottlender R, Möller HJ, Riecher-Rössler A. Disease prediction in the at-risk mental state for psychosis using neuroanatomical biomarkers: results from the FePsy-study. Schizophrenia Bulletin. 2012; 38(6):1234-46 (IF: 8.8)
  8. Koutsouleris N, Davatzikos C, Bottlender R, Patschurek-Kliche K, Scheuerecker J, Decker Petra, Gaser C, Möller HJ; Meisenzahl E. Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification. Schizophrenia Bulletin. 2012; 38(6):1200-15 (IF: 8.8)
  9. Koutsouleris N, Gaser C, Patschurek-Kliche K, Scheuerecker J, Bottlender R, Decker P, Schmitt G, Reiser M, Möller HJ and Meisenzahl EM. Multivariate patterns of brain–cognition associations relating to vulnerability and clinical outcome in the at-risk mental states for psychosis. Human Brain Mapping. 2012; 33(9):2104-2124.(IF: 5.9)
  10. 10.Koutsouleris N, Gaser C, Bottlender R, Davatzikos C, Decker P, Jäger M, Schmitt G, Reiser M, Möller HJ, Meisenzahl EM, Use of Neuroanatomical Pattern Regression to Predict the Structural Brain Dynamics of Vulnerability and Transition to Psychosis. Schizophrenia Research. 2010;123(2-3):175-187 (IF: 4.5).


Telephone: 089/440055885


PRONIA-Early Diagnosis

Hospital of the University of Munich
Clinic for Psychiatry and Psychotherapy

Nussbaumstraße 7
80336 München