Biomarkers for Major Depressive Disorder

Biomarkers for Major Depressive Disorder

Considering that biological psychiatry is built on the premise that mental disorders have a neural basis, it is essential for the field to derive biomarkers of MDD informative on the level of the individual patients.

Research Project

Considering that biological psychiatry is built on the premise that mental disorders have a neural basis, it is essential for the field to explain the lack of neurobiological manifestations of MDD informative on the level of the individual across the most commonly investigated modalities today.

In this research project, we explore the potential of current approaches of biomarker discovery in MDD. For this aim, we investigate both univariate and multivariate methods including machine learning.


Winter, N. R., Leenings, R., Ernsting, J., Sarink, K., Fisch, L., Emden, D., … & Hahn, T. (2022). Quantifying deviations of brain structure and function in major depressive disorder across neuroimaging modalities. JAMA psychiatry, 79(9), 879-888.

Winter, N. R., Cearns, M., Clark, S. R., Leenings, R., Dannlowski, U., Baune, B. T., & Hahn, T. (2021). From multivariate methods to an AI ecosystem. Molecular psychiatry, 26(11), 6116-6120.

Winter, N. R., Blanke, J., Leenings, R., Ernsting, J., Fisch, L., Sarink, K., ... & Hahn, T. (2024). A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder. JAMA psychiatry.
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