Neural correlates of motor rehabilitation and statistical models

Uncovering brain processes that cooccur with or predict clinical motor improvement is an important building block for the development of stroke rehabilitation schemes (for chronic and severely paralyzed patients in particular). Only a comprehensive model of the patients can guarantee success in a personalized and efficient stroke rehabilitation. Our research strives to advance the current state of the art by way of investigating the neural brain state, the psychological condition and the behavior of patients. We use advanced signal processing, data analysis and machine learning techniques to uncover neural correlates and markers of motor rehabilitation and develop statistical models reflecting the state of the patient. We evaluate these models in clinical trials.

11.01.2022

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