The metabolic brain network in patients with Parkinson＇s disease based on 18F-FDG PET imaging： evaluation of neuronal injury and regeneration

Over the past two decades, the development of functional imaging methods has greatly promoted our understanding on the changes of neurons following neurodegenerative disorders, such as Parkin- son＇s disease （PD）. The application of a spatial covariance analysis on 18F-FDG PET imaging has led to the...

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Bibliographic Details
Published in:中国神经再生研究：英文版 2014, Vol.9 (7), p.763-765
Main Author: Jingjie Ge Ping Wu Chuantao Zuo
Format: Article
Language:English
Subjects:
PET
代谢网络
再生
功能性评价
帕金森氏症
显像
神经元损伤
神经退行性疾病
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Summary:Over the past two decades, the development of functional imaging methods has greatly promoted our understanding on the changes of neurons following neurodegenerative disorders, such as Parkin- son＇s disease （PD）. The application of a spatial covariance analysis on 18F-FDG PET imaging has led to the identification of a distinc- tive disease-related metabolic pattern. This pattern has proven to be useful in clinical diagnosis, disease progression monitoring as well as assessment of the neuronal changes before and after clinical treatment. It may potentially serve as an objective biomarker on disease progression monitoring, assessment, histological and func- tional evaluation of related diseases.
ISSN:1673-5374