Patients with Parkinson's disease often suffer from freezing of gait (FoG): the sensation of being frozen to the ground and of being unable to take another step. This sudden freezing frequently leads to falls and has a significant impact on quality of life. The neural basis of FoG is of great interest for improving treatment, but difficult to investigate because FoG often does not occur under laboratory conditions.

This project aims to overcome these obstacles and elucidate the neural basis of FoG. At its core is the combination of quantitative gait analysis and electrophysiological measurements of both cortical and subcortical brain regions. The use of augmented reality (AR) allows for complete control over the properties of visual stimuli, which can influence FoG both positively and negatively.