Abstract #4377

Abnormalities of brain functional network in Parkinson’s disease at different stage

Xinhui Wang¹, Yu Shen¹, Kaiyue Ding², Yihang Zhou³, Wei Wei¹, Yan Bai¹, Xianchang Zhang⁴, Zhiping Guo⁵, and Meiyun Wang¹

¹Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, ²Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, ³Xinxiang Medical University & Henan Provincial People’s Hospital, Zhengzhou, China, ⁴MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China, ⁵Zhengzhou University People’s Hospital & FuWai Central China Cardiovascular Hospital, Zhengzhou, China

Synopsis

Keywords: Parkinson's Disease, Brain Connectivity, Parkinson's disease, fMRI

Motivation: Currently there are no effective non-invasive neuroimaging biomarkers to evaluate the progression of Parkinson's disease (PD).

Goal(s): To use graph theory analysis of resting-state functional MRI (rs-fMRI) to investigate the abnormalities of brain functional network in PD at different disease stages.

Approach: We evaluated the global and nodal indicators changes between PD at different disease stages by comparison with healthy control.

Results: Brain functional network topology was disrupted to a varying extent in patients with PD at different disease stages.

Impact: The findings of this study may enhance our understanding of the mechanisms underlying the progression of Parkinson's disease and contribute to the development of non-invasive neuroimaging biomarkers for monitoring disease progression.

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