Motor and sensor neurorehabilitation
We want to help people with acquired brain injuries to move again, to achieve independence and the best possible quality of life.
Our research focuses on technology-assisted rehabilitation, prognostic models for motor function, and dose-response studies with the ultimate goal to provide personalized precision rehabilitation for sensorimotor impairments.
We evaluate new treatment approaches, such as BCI training and VR, and contribute to their development. Moreover, a substantial part of our work is dedicated to implementing evidence-based treatment approaches for neurorehabilitation.
During the next five years, we will focus on the following research areas:
- Effective and personalized neurorehabilitation. Intensifying treatment and accelerating recovery through implementation and evaluation of new treatment approaches such as Brain-Computer Interface (BCI) training and High-Intensity Gait Training (HIGT). Our research will contribute to identifying patients for whom BCI training and HIGT could be beneficial based on biomarkers, clinical and demographic features.
- Technology for in-hospital and home use. In the near future, large parts of neurorehabilitation will be transferred to municipality health services and the patients’ homes. Together with collaborators, we are developing and testing BCI and virtual reality systems that can be used by different healthcare providers, for telerehabilitation, and self-training.
- Reliable prognosis and monitoring of activity. We are developing and testing algorithms for the prognosis of arm function after stroke to enable individually tailored rehabilitation. Related to this, we are implementing and evaluating Transcranial Magnetic Stimulation examination for the prediction of upper limb function. Furthermore, we are applying and testing different monitoring devices (e.g., accelerometers, apps) to provide insights into the functional status and functional decline.