The SACT Template: A Human Brain Diffusion Tensor Template for School-age Children.
10.1007/s12264-022-00820-1
- Author:
Congying CHU
1
;
Haoran GUAN
1
;
Sangma XIE
2
;
Yanpei WANG
1
;
Jie LUO
1
;
Gai ZHAO
1
;
Zhiying PAN
1
;
Mingming HU
1
;
Weiwei MEN
3
;
Shuping TAN
4
;
Jia-Hong GAO
3
;
Shaozheng QIN
1
;
Yong HE
1
;
Lingzhong FAN
5
;
Qi DONG
1
;
Sha TAO
6
Author Information
1. National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
2. Institute of Biomedical Engineering and Instrumentation, School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China.
3. Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
4. Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, Beijing, 100096, China.
5. Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
6. National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China. taosha@bnu.edu.cn.
- Publication Type:Journal Article
- Keywords:
Diffusion tensor template;
Diffusion-weighted MRI;
School-age children;
Spatial normalization
- From:
Neuroscience Bulletin
2022;38(6):607-621
- CountryChina
- Language:English
-
Abstract:
School-age children are in a specific development stage corresponding to juvenility, when the white matter of the brain experiences ongoing maturation. Diffusion-weighted magnetic resonance imaging (DWI), especially diffusion tensor imaging (DTI), is extensively used to characterize the maturation by assessing white matter properties in vivo. In the analysis of DWI data, spatial normalization is crucial for conducting inter-subject analyses or linking the individual space with the reference space. Using tensor-based registration with an appropriate diffusion tensor template presents high accuracy regarding spatial normalization. However, there is a lack of a standardized diffusion tensor template dedicated to school-age children with ongoing brain development. Here, we established the school-age children diffusion tensor (SACT) template by optimizing tensor reorientation on high-quality DTI data from a large sample of cognitively normal participants aged 6-12 years. With an age-balanced design, the SACT template represented the entire age range well by showing high similarity to the age-specific templates. Compared with the tensor template of adults, the SACT template revealed significantly higher spatial normalization accuracy and inter-subject coherence upon evaluation of subjects in two different datasets of school-age children. A practical application regarding the age associations with the normalized DTI-derived data was conducted to further compare the SACT template and the adult template. Although similar spatial patterns were found, the SACT template showed significant effects on the distributions of the statistical results, which may be related to the performance of spatial normalization. Looking forward, the SACT template could contribute to future studies of white matter development in both healthy and clinical populations. The SACT template is publicly available now ( https://figshare.com/articles/dataset/SACT_template/14071283 ).
