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 WANG^4,5, PEIPENG LIANG^1,4,5, 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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.