Longitudinal ALS study: research of EEG biomarkers during the progression of the disease

ALS is a neurodegenerative disorder that brings patients to a state of complete paralysis. In this thesis a longitudinal analysis of EEG resting state data is performed for three patients, setting a signal processing pipeline to detect which features of the signal are changing over the observation period. It has been found a substantial difference in the spectral content of EEG signal between late-stage patients and the one observed during the transition to completely locked-in state (CLIS).