Institute for Translational Psychiatry

The Institute for Translational Psychiatry is embedded in the Department of Mental Health at the University of Münster and currently encompasses two Professorships, seven post docs, 18 PhD candidates, 17 employed student workers, and more than 40 cand. med. students, master-, and bachelor candidates from the faculties of psychology, mathematics and computer science. The institute has published >60 publications in 2019 with a cumulative impact factor of >500 in the fields of neuroimaging, machine learning and clinical psychiatry. For details and a list of publications see our faculty webpage

Theme and Objectives

The Institute for Translational Psychiatry is dedicated to the identification of biological signatures underlying the onset, clinical presentation, and disease course in psychiatric disorders, particularly affective disorders (depression, bipolar disorder) and anxiety disorders. Its mission is the prediction of disease trajectories and treatment outcomes using high dimensional data analysis strategies (AI, machine learning, pattern recognition) based on unique, deeply phenotyped, large scale patient cohorts followed-up over several years, as well as treatment trials. Subgroups within the institute include senior research groups for machine learning/predictive analytics and treatment research/imaging genetics, as well as junior research groups for anxiety disorders, connectome research, clinical information systems/ smartphone based assessments, and longitudinal disease course characterization.

Key expertise:

  • Functional and structural Neuroimaging
  • Machine learning
  • Clinical phenotyping, characterization of disease courses
  • Neuropsychology
  • Smartphone-based assessments
  • Cross-talk of clinical information systems and scientific databases
  • VR-based exposition treatment
  • Intervention research (Psychotherapy, ECT and others)
  • Biomaterial acquisition and processing, in collaboration with the lab division of the Department of Mental Health


  • Neuropsychology lab
  • Clinical assessment / phenotyping
  • VR-lab
  • IT-infrastructure and neuroimaging database
  • Scanner access (3T Siemens Prisma; 3T Philips Ingenia), located at the Translational Research Imaging Center (TRIC)


  • Univ.-Prof. Dr. rer. nat. Tim Hahn
  • Dr. rer. nat. Dipl.-Inf. Dominik Grotegerd
  • Dr. rer. nat. Katharina Koch
  • Dr. rer. nat. Dipl.-Psych Lisa Leehr
  • Dr. rer. nat. Dipl.-Psych Ronny Redlich
  • Dr. med. Nils Opel
  • Dr. med. Jonathan Repple
  • M. Sc. Joscha Böhnlein
  • M. Sc. Tiana Borgers
  • Dipl.-Inf. Daniel Emden
  • M. Sc. Verena Enneking
  • M. Sc. Jan Ernsting
  • M.Sc. Janik Goltermann
  • M.Sc. Carina Hülsmann
  • Dipl.-Inf. Claas Flint
  • M.Sc. Ramona Leenings
  • M.Sc. Hannah Lemke
  • M. Sc. Susanne Meinert
  • M.Sc. Maike Richter
  • M.Sc. Lisa Sindermann
  • M.Sc. Lena Waltemate
  • M.Sc. Nils Winter

For a full list of members including student workers, medical doctor candidates, and master students see

Selected Projects

  • Generation of large-scale longitudinal cohorts (FOR2107, Münster Neuroimaging Cohort); Neuroimaging and clinical characterization in the course of disorders (Funded by DFG, IMF Münster)
  • Machine learning in Psychiatry; Development of Methods, Software environment and application strategies (funded by DFG, IZKF Münster)
  • Prediction of treatment response to psychotherapy, VR-Exposure, and ECT based on multidimensional patient data (funded by DFG, IMF Münster)
  • Cross-talk between clinical information systems and scientific databases (SEED 11/18, funded by IZKF Münster, IMF Münster)
  • Neurobiological correlates of Anxiety Disorders and Treatment response to exposure therapy (funded by BMBF and DFG)

Current funding

Members of the Institute of Translational Psychiatry have acquired multiple intramural and extramural project funding and participate in several research initiatives funded by the DFG, BMBF, and EU. Selected funding sources include:

  • DFG research unit FOR2107 “Neurobiology of affective disorders” (co-speaker: U. Dannlowski), Projects WP1 / WP6 to Udo Dannlowski and Tim Hahn (see
  • SFB-TRR 58 “Fear, Anxiety, Anxiety Disorders” Projects C09 and Z02 to Udo Dannlowski
  • IZKF-Project “Machine Learning in Psychiatry” to Udo Dannlowski
  • DFG-Heisenberg-Professorship “Predictive Analytics in Mental Health” to Tim Hahn
  • IZKF-Project SEED11/18 to Nils Opel
  • DFG Project "Brain functional and structural long-term effects of electroconvulsive therapy and its association with clinical response and cognitive side effects " to Ronny Redlich
  • Body & Brain Institute Münster (BBIM)
  • Other Intramural Research Projects (IMF) to Ronny Redlich, Nils Opel, Tim Hahn, Elisabeth Leehr, Katharina Koch, and Jonathan Repple

Current selected publications

Repple J, Mauritz M, Meinert S, de Lange SC, Grotegerd D, Opel N, Redlich R, Hahn T, Förster K, Leehr EJ, Winter N, Goltermann J, Enneking V, Fingas SM, Lemke H, Waltemate L, Nenadic I, Krug A, Brosch K, Schmitt S, Stein F, Meller T, Jansen A, Steinsträter O, Baune BT, Kircher T, Dannlowski U*, van den Heuvel MP* (*equal contribution) (in press). Severity of current depression and remission status are associated with structural connectome alterations in major depressive disorder. Molecular Psychiatry

Opel N, Redlich R, Dohm K, Zaremba D, Goltermann J, Repple J, Kaehler C, Grotegerd D, Leehr EJ, Böhnlein J, Förster K, Meinert S, Enneking V, Sindermann L, Dzvonyar F, Emden D, Leenings R, Winter N, Hahn T, Kugel H, Heindel W, Buhlmann U, Baune BT, Arolt V, Dannlowski U (2019). Mediation of the influence of childhood maltreatment on depression relapse by cortical structure: a 2-year longitudinal observational study. Lancet Psychiatry 6:318-326

Repple J, Karliczek G, Meinert S, Förster K, Grotegerd D, Goltermann J, Redlich R, Arolt V, Baune BT, Dannlowski U, Opel N (in press). Variation of HbA1c affects cognition and white matter microstructure in healthy, young adults. Molecular Psychiatry

Opel N, Amare AT, Redlich R, Repple J, Kähler C, Grotegerd D, Dohm K, Zaremba D, Leehr EJ, Böhnlein J, Förster K, Bürger C, Meinert S, Enneking V, Emden D, Leenings R, Winter N, Hahn T, Heindel W, Bauer J, Wilhelms D, Schmitt S, Jansen A, Krug A, Nenadic I, Rietschel M, Witt S, Forstner AJ, Nöthen MM, Kircher T, Arolt V, Baune BT, Dannlowski U (in press). Cortical surface area alterations shaped by genetic load for neuroticism. Molecular Psychiatry.

Opel N, Redlich R, Kaehler C, Grotegerd D, Dohm K, Heindel W, Kugel H, Thalamuthu A, Koutsouleris N, Arolt V, Teuber A, Wersching H, Baune BT, Berger K, Dannlowski U (2017). Prefrontal gray matter volume mediates genetic risks for obesity. Molecular Psychiatry 22:703-710

Zaremba D, Dohm K, Redlich R, Grotegerd D, Strojny R, Meinert S, Bürger C, Enneking V, Förster K, Repple J, Opel N, Baune BT, Zwitserlood P, Heindel W, Arolt V, Kugel H, Dannlowski U (2018). Association of Brain Cortical Changes with Relapse in Patients with Major Depressive Disorder. JAMA Psychiatry 75:484-492.

Dannlowski U, Kugel H, Grotegerd D, Redlich R, Opel N, Dohm K, Zaremba D, Grögler A, Schwieren J, Suslow T, Ohrmann P, Bauer J, Krug A, Kircher T, Jansen A, Domschke K, Hohoff C, Zwitserlood P, Heinrichs M, Arolt V, Heindel W, Baune BT (2016). Disadvantage of social sensitivity: Interaction of oxytocin receptor genotype and child maltreatment on brain structure. Biological Psychiatry 80:398-405

Redlich R, Opel N, Grotegerd D, Dohm K, Zaremba D, Bürger C, Münker S, Mühlmann L, Wahl P, Heindel W, Arolt V, Alferink J, Zwanzger P, Zavorotnyy M, Kugel H, Dannlowski U (2016). Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data. JAMA Psychiatry 73:557-564

Dannlowski U, Grabe H, Wittfeld K, Klaus J, Konrad C, Grotegerd D, Redlich R, Suslow T, Opel N, Ohrmann P, Bauer J, Hohoff C, Arolt V, Heindel W, Deppe M, Domschke K, Hegenscheid K, Völzke H, Homuth G, Meyer zu Schwabedissen H, Kugel H, Baune BT (2015). Multimodal imaging of TESC genotype effects on brain structure and function – evidence for hippocampal gray matter specificity. Molecular Psychiatry 20:398-404

Redlich R, Almeida J, Grotegerd D, Opel N, Kugel H, Heindel W, Arolt V, Phillips ML, Dannlowski U (2014). Brain morphometric biomarkers distinguishing unipolar and bipolar depression: A VBM - pattern classification approach. JAMA Psychiatry 71:1222-1230


Univ.-Prof. Dr. med. Dr. phil. Dipl.-Psych. Udo Dannlowski

E-Mail: dannlow(at)­uni-muenster(dot)­de

Administration assistance:
Bettina Walden, M.A.

Tel.: +49 (0)251 / 83-56610
E-Mail: bettina.walden(at)­ukmuenster(dot)­de