Mental Health Mapping
We use large, diverse datasets and machine learning to understand mental and neurological disorders in each person: how biology, society, and environment shape them. Together with patients and clinicians, we bring these insights into clinical care.
Foundations
What is healthy, and what is a disorder?
Structures
From biology to families and society.
Markers
The hidden factors behind disorders.
Models
Machine learning, from lab to clinic.
Recent Highlights
Paper · Oct 2026
npj Digital Medicine
Accepted: Alexander Frotscher's large-scale benchmark of anomaly detection in brain imaging.
Talk & paper · Oct 2026
MICCAI 2026 (Main Track)
Mariam Zabihi presents SIGMA-VAE, her multi-view autoencoder for normative modeling, with a talk and a paper in the main track.
Workshop · Oct 2026
We co-organize the Machine Learning in Clinical Neuroimaging (MLCN) workshop at MICCAI for the eighth time.
Lab life · Oct 2026
We enjoy a wonderful lab retreat with friends in Jena.
Conference · Oct 2026
39th ECNP Congress, Munich
Thomas Wolfers joins more than 6,300 colleagues from 10 to 13 October and is grateful to serve on the congress's Scientific Program Committee.
Paper · Aug 2026
Nature Neuroscience
Accepted: Yanwu Yang's normative reference for human brain dynamics across the lifespan.
Talk & preprint · Jun 2026
OHBM 2026
Nitin Sharma presents transferable conditional brain charts, which link brain structure to Alzheimer's disease progression, at OHBM 2026; the preprint is on arXiv.
Led by Thomas Wolfers at Friedrich Schiller University Jena.