Lewy body diseases (LBDs) is a term describing a group of neurodegenerative disorders (i.e. dementia with Lewy bodies and Parkinson’s disease) characterized by pathophysiological process of alfa-synuclein accumulation in specific brain regions leading to the formation of Lewy bodies inside neurons and resulting in cell death. LBDs are progressing slowly and are usually diagnosed when the neurodegenerative process has reached severe degree in which most of the targeted neurons have already been damaged. Identification of LBDs at an early stage is crucial for development of disease-modifying treatment since the neurodegeneration may be possibly stopped or treated at the onset. In the frame of this project we are going to employ a complex multimodal analysis in order to identify prodromal biomarkers of LBDs and describe underlying pathophysiological processes. Consequently, this knowledge will be used to introduce a new machine-learning based decision support system that will help to assess, diagnose and monitor LBDs.
