The underlying cause of cognitive deficits in Parkinson’s disease patients with mild cognitive impairment (PD-MCI) is not well understood and there are no biomarkers to diagnose PD-MCI in early stages. The aim of the current study is to quantify the connectivity between the major resting state networks (RSNs) in PD–MCI using independent component analysis (ICA) and graph theory. Our results showed altered connectivity and reduced efficiency of the visual network which is implicated in several stages of PD and also showed that dysfunction exists in between large scale RSN connectivity which is correlated with behavioral scores.
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