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Abstract #2480

Improved detection of grey matter atrophy in Parkinson's disease in a Chinese population using the Chinese2020 template

XIUQIN JIA1, LIN SHI2, TIANYI QIAN3, YING LI1, DEFENG WANG4,5, PEIPENG LIANG1,4,5, and KUNCHENG LI1

1Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China, 2Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3MR Collaboration, Northeast Asia, Siemens Healthcare, Beijing, People's Republic of China, 4Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, People's Republic of China, 5Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong

The human brain differs significantly between different individuals, as well as between different demographics (i.e., age, gender, and race). The aim of the present study was to investigate the effectiveness of a Chinese brain template, i.e., Chinese2020, on the detection of grey matter (GM) alteration between patients with Parkinson’s disease (PD) and healthy controls (HC). The results of this study indicate that Chinese2020 was more representative of Chinese populations, which suggests that neuroimaging studies based on Chinese populations should be normalized to the Chinese brain atlas and that previous studies based on Chinese populations might need to be updated.

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