Imaging biomarkers that reliably capture the impact of the spreading pathology of Parkinson’s disease (PD), including its impact on both white and graymatter, remain elusive. In this study, we applied graph-theoretical techniques to multi-site resting-state fMRI data from a cohort of unmedicated early PD-subjects in Parkinson’s Progressive Markers Initiative (PPMI) database. Altered functional connectivity and disrupted topological brain organization was seen in early PD-subjects. Our study opens new avenues to understanding disease progression and severity of PD from graph-theoretical approach.
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