Abstract:Pathological oscillations are a hallmark of neural activity in Parkinson’s disease (PD). Time-averaged analyses are usually employed to study changes in spectral connectivity with and without dopaminergic intervention in PD. This prevents differentiating the pathological vs physiological nature of dynamically evolving oscillatory activity serving multiple functional roles. Using a Hidden Markov Model on combined STN-LFP and whole-brain MEG data from 17 PD patients we discovered three distinct network activity … Show more
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