University of Augsburg — Faculty of Computer Science
The Chair of Informatics for Medical Technologies (CIMT) develops mathematically rigorous and data-driven methods for the analysis of multimodal neurophysiological and neuroimaging signals. Our research bridges signal processing, biomedical statistics, network neuroscience, and machine learning to uncover robust biomarkers of neurological and motor system function in health and disease.
We focus on reproducible, open, and clinically translatable computational pipelines for:
- Resting-state and task-based fMRI, EEG, MEG, and EMG
- Structural MRI and diffusion tensor imaging (DTI)
- PET-based functional network mapping
- Sleep neurophysiology and oscillatory dynamics
- Central motor system function and pathology
Our work supports applications in neurology, movement disorders, and digital biomarker discovery.
| Domain | Methods |
|---|---|
| Time Series Analysis | Time–frequency decomposition, phase-amplitude coupling, spectral estimation, non-stationary modeling |
| Source Imaging | Beamforming (e.g., LCMV), dipole fitting, coregistration with anatomical priors |
| Functional & Effective Connectivity | WPLI, debiased estimators, Granger causality, graph-theoretical network metrics |
| Multimodal Integration | Joint modeling of EEG/fMRI, PET/fMRI, DTI/fMRI; cross-modal alignment |
| Machine Learning | Deep neural networks (e.g., BBTransformer), interpretable models for clinical trait prediction |
| Biomedical Statistics | Confounder-aware modeling (age, sex, motion), permutation testing, effect size estimation |
We collaborate with clinical and academic partners in:
- Neurology and movement disorder clinics
- Cognitive and computational neuroscience labs
- Medical device and digital health companies
Our methods are applied to:
- Biomarker discovery for Parkinson’s, dystonia, and sleep disorders
- Brain–behavior mapping in motor control
- Real-world monitoring using wearable and mobile neurotechnology
For collaboration, code access, or research inquiries:
📧 Email: cimt@informatik.uni-augsburg.de
🌐 Official Lab Page: https://www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/svki/
🐙 GitHub: CIMT-University-of-Augsburg
🤗 Hugging Face: CIMT
Chair of Informatics for Medical Technologies — University of Augsburg
Advancing neurotechnology through open, mathematically grounded science.