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Abstract #3990

Functional connectivity between major resting state networks in Parkinson’s disease with Mild Cognitive Impairment 

Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Zoltan Mari1, Jessica Caldwell1, Aaron Ritter1, Dietmar Cordes1, and Virendra Mishra1
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States

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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