Complex Sytems Models of MDD

A translational aspect of our research involves understanding the development of mental disorders, primarily major depression, and informing intervention strategies.

Depression as a complex system

In this context, the challenge lies not in conceptualization but in formalization. Phenomenological treatments of Major Depressive Disorder (MDD), such as those addressing sudden gains, hysteresis, and multistability, strongly suggest that a complex system perspective is highly applicable to this field. However, progress has been hindered by the absence of adequate measurement strategies and foundational principles. For example, there is limited information on defining state variables that can support the formalization of a mathematical model of depression at both the symptom and neural levels. The timescales under which MDD can manifest remain unclear, and there is a lack of theoretical understanding of how interventions at microscopic (e.g., pharmacology) or macroscopic scales (e.g., behavioral therapies) influence the multiscale dynamics of MDD. Despite considerable research and funding in neuropsychiatry, neuroscience, and psychology, significant gaps persist. The cumulative effect of therapies is effective for less than 40% of patients, and the relapse rate among those in remission exceeds 70%. The field still lacks precise diagnostic biomarkers and definitive diagnoses, resulting in advancements in preventative measures and treatments that are incremental rather than revolutionary.


A key result of lab is Sappiens (systematic AI-powered prediction of individualized networks of symptoms). In the past two years, we have been building our models into an interactive online system that can enable clinicians to have access to real-time AI prowered prediction of symptoms. 

                        Lea Teutenberg

Antonia Schulz

Felix Bernhard

Our Collaborators

Our research is heavily inter- and multi-disciplinary with a focus on computational methodologies. 

As such, we are closely collaborating with other groups within and outside our department who complement us in terms of methodological, clinical, and imaging expertise. 

  Medical Machine             Psychiatry                    Cognitive               Translational                 Learning                                                      Neuropsychiatry      Neuroimaging  

         Prof. Tim Hahn                  Prof. Tilo Kircher                 Prof. Igor Nenadić        Prof. Benjamin Straube


     Neuroimaging       Clinical Psychology         Language              Psychiatry and                                                                                         Technologies         Neurostimulation

    Prof. Andreas Jansen      Prof. Stefan G. Hofmann         Prof. Lucie Flek             Prof. Christoph Mulert


Dynamical Systems   Cognitive Modeling    Neurometabolic     Cell Models and                 Theory                                                              Circuitry             Parental Mental                                                                                                                                     Health

       Prof. Erfan Nozari         Prof. Marieke van Vugt   Dr. Sharmili E. Thanarajah       Prof. Sarah Kittel-                                                                                                                                                                Schneider



Imprint & Privacy Policy

Prof. Dr. Hamidreza Jamalabadi

Philipps-Universität Marburg
Klinik für Psychiatrie und Psychotherapie
Rudolf-Bultmann-Straße 8
35039 Marburg

Wir benötigen Ihre Zustimmung zum Laden der Übersetzungen

Wir nutzen einen Drittanbieter-Service, um den Inhalt der Website zu übersetzen, der möglicherweise Daten über Ihre Aktivitäten sammelt. Bitte überprüfen Sie die Details in der Datenschutzerklärung und akzeptieren Sie den Dienst, um die Übersetzungen zu sehen.