Shi Lin, Liang Peipeng, Luo Yishan, Liu Kai, Mok Vincent C T, Chu Winnie C W, Wang Defeng, Li Kuncheng
Department of Medicine and Therapeutics, The Chinese University of Hong KongShatin, Hong Kong.
Department of Radiology, Xuanwu Hospital, Capital Medical UniversityBeijing, China.
Front Hum Neurosci. 2017 Aug 17;11:414. doi: 10.3389/fnhum.2017.00414. eCollection 2017.
Given that the morphology of Chinese brains statistically differs from that of Caucasian, there is an urgent need to develop a Chinese brain template for neuroimaging studies in Chinese populations. Based on a multi-center dataset, we developed a statistical Chinese brain template, named as Chinese2020 (Liang et al., 2015). This new Chinese brain atlas has been validated in brain normalization and segmentation for anatomical Magnetic Resonance Imaging (MRI) studies, and is publicly available at http://www.chinese-brain-atlases.org/. In our previous study, we have demonstrated this Chinese atlas showed higher accuracy in segmentation and relatively smaller shape deformations during registration. Because the spatial normalization of functional images is mainly based on the segmentation and normalization of anatomical image, the population-specific brain atlas should also be more appropriate for functional studies involving Chinese populations. The aim of this technology report is to validate the performance of Chinsese2020 template in functional neuroimaging studies, and demonstrated that for Chinese population studies, the use of the Chinese2010 template produces more valid results. The steps of how to use the Chinese2020 template in SPM software were given in details in this technology report, and based on an example of finger tapping fMRI study, this technology report demonstrated the Chinese2020 template could improve the performance of the neuroimaging analysis of Chinese populations.
鉴于中国人脑的形态在统计学上与高加索人不同,迫切需要为中国人群的神经影像学研究开发一个中国人脑模板。基于一个多中心数据集,我们开发了一个统计中国人脑模板,命名为Chinese2020(Liang等人,2015)。这个新的中国人脑图谱已在解剖磁共振成像(MRI)研究的脑归一化和分割中得到验证,可在http://www.chinese-brain-atlases.org/上公开获取。在我们之前的研究中,我们已经证明这个中国图谱在分割方面显示出更高的准确性,并且在配准过程中形状变形相对较小。由于功能图像的空间归一化主要基于解剖图像的分割和归一化,特定人群的脑图谱也应该更适合涉及中国人群的功能研究。本技术报告的目的是验证Chinese2020模板在功能神经影像学研究中的性能,并证明对于中国人群研究,使用Chinese2010模板能产生更有效的结果。本技术报告详细介绍了在SPM软件中使用Chinese2020模板的步骤,并基于一个手指敲击功能磁共振成像研究的例子,证明了Chinese2020模板可以提高中国人群神经影像学分析的性能。