机构:[1]Department of Radiology, Xuanwu Hospital, Capital Medical University放射科首都医科大学宣武医院[2]Beijing Key Laboratory of MRI and Brain Informatics[3]MR Collaboration, Northeast Asia, Siemens Healthcare, Beijing[4]Chow Yuk Ho Technology Centre for Innovative Medicine[5]Department of Imaging and Interventional Radiology, Research Center for Medical Image Computing[6]Departments of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China[7]Departments of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Objective: This study aimed to test the hypothesis that the statistical Chinese brain template would be more effective to detect gray matter (GM) changes in patients with Alzheimer disease (AD) in Chinese populations. Materials and Methods: In total, 50 patients with AD and 50 sex-matched and age-matched healthy controls were included in this study. Chinese2020, a typical statistical Chinese brain template, and MNI152, a typical Caucasian template were used for spatial normalization respectively. The GM volume alterations in patients with AD were examined by using voxel-based morphometry with education level and total intracranial volume as nuisance variables. The GM proportions of the identified brain areas with group difference were compared. Results: By using Chinese2020 and MNI152, significant GM atrophies in patients with AD were commonly detected in the bilateral medial temporal lobe, lateral temporal lobe, inferior/medial frontal cortex, as well as left thalamus. However, higher GM percentages of detected regions were acquired when Chinese2020 was used rather than MNI152. Furthermore, stronger statistical powers in the detected clusters were observed using Chinese2020 than MNI152. In addition, the laterality index analysis showed the bilateral atrophies with no hemispheric laterality in the para/hippocampus when using population-specific brain atlas (ie, Chinese2020). Conclusions: These findings indicated that applying the population-specific brain atlas to neuroimaging studies may achieve higher accuracy in activation detection. This may have implications to the imaging study of neurodegenerative diseases.
基金:
Supported partly by the grant from the National Natural Science
Foundation of China (31400958, 61473196, and 61672065), China
Postdoctoral Science Foundation (2015M570165), Beijing Municipal
Administration of Hospitals Clinical Medicine Development of
Special Funding (ZYLX201609), and Key Projects in the National
Science and Technology Pillar Program during the Twelfth Fiveyear
Plan Period (2012BAI10B04).
第一作者机构:[1]Department of Radiology, Xuanwu Hospital, Capital Medical University[2]Beijing Key Laboratory of MRI and Brain Informatics
通讯作者:
通讯机构:[*1]Department of Radiology, Xuanwu Hospital, Capital Medical University, 45 Chang Chun Street, Xi Cheng District, Beijing 100053, China
推荐引用方式(GB/T 7714):
Xiuqin Jia,Lin Shi,Tianyi Qian,et al.Improved Gray Matter Atrophy Detection in Alzheimer Disease in Chinese Populations Using Chinese Brain Template[J].ALZHEIMER DISEASE & ASSOCIATED DISORDERS.2018,32(4):309-313.doi:10.1097/WAD.0000000000000264.
APA:
Xiuqin Jia,Lin Shi,Tianyi Qian,Ying Li,Defeng Wang...&Kuncheng Li.(2018).Improved Gray Matter Atrophy Detection in Alzheimer Disease in Chinese Populations Using Chinese Brain Template.ALZHEIMER DISEASE & ASSOCIATED DISORDERS,32,(4)
MLA:
Xiuqin Jia,et al."Improved Gray Matter Atrophy Detection in Alzheimer Disease in Chinese Populations Using Chinese Brain Template".ALZHEIMER DISEASE & ASSOCIATED DISORDERS 32..4(2018):309-313