Brain Functional and Structural Signatures in Parkinson’s Disease

Frontiers in Aging Neuroscience

Yilong Ma¹  Jian Wang²  Chuantao Zuo³  Jiehui Jiang⁵  Ping Wu⁶  Jingjie Ge⁶  Huiwei Zhang⁶  Chunhua Liu⁷  Hucheng Zhou⁷  Min Wang⁷  Juanjuan Jiang⁷ 

[1] Center for Neurosciences, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, NY, United States;Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China;Human Phenome Institute, Fudan University, Shanghai, China;Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China;Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai, China;PET Center, Huashan Hospital, Fudan University, Shanghai, China;Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China;

关键词: Parkinson’s disease;    brain network;    pattern;    18F-FDG PET;    MRI;   

DOI  :  10.3389/fnagi.2020.00125

来源: DOAJ

【 摘 要 】

The aim of this study is to explore functional and structural properties of abnormal brain networks associated with Parkinson’s disease (PD). 18F-Fluorodeoxyglucose positron emission tomography (18F-FDG PET) and T1-weighted magnetic resonance imaging from 20 patients with moderate-stage PD and 20 age-matched healthy controls were acquired to identify disease-related patterns in functional and structural networks. Dual-modal images from another prospective subject of 15 PD patients were used as the validation group. Scaled Subprofile Modeling based on principal component analysis method was applied to determine disease-related patterns in both modalities, and brain connectome analysis based on graph theory was applied to verify these patterns. The results showed that the expressions of the metabolic and structural patterns in PD patients were significantly higher than healthy controls (PD1-HC, p = 0.0039, p = 0.0058; PD2-HC, p < 0.001, p = 0.044). The metabolic pattern was characterized by relative increased metabolic activity in pallidothalamic, pons, putamen, and cerebellum, associated with metabolic decreased in parietal–occipital areas. The structural pattern was characterized by relative decreased gray matter (GM) volume in pons, transverse temporal gyrus, left cuneus, right superior occipital gyrus, and right superior parietal lobule, associated with preservation in GM volume in pallidum and putamen. In addition, both patterns were verified in the connectome analysis. The findings suggest that significant overlaps between metabolic and structural patterns provide new evidence for elucidating the neuropathological mechanisms of PD.

【 授权许可】

Unknown