Growth charts of brain morphometry for preschool children

被引:9
|
作者
Zhang, Hongxi [1 ]
Li, Jia [2 ,3 ]
Su, Xiaoli [1 ]
Hu, Yang [2 ,4 ]
Liu, Tianmei [1 ]
Ni, Shaoqing [5 ]
Zuo, Xi-Nian [7 ,8 ,9 ]
Li, Haifeng [6 ]
Fu, Junfen [10 ]
Yuan, Ti-Fei [4 ,11 ,14 ]
Yang, Zhi [2 ,4 ,12 ,13 ]
机构
[1] Zhejiang Univ, Childrens Hosp, Dept Radiol, Sch Med, Hangzhou, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Lab Psychol Hlth & Imaging, Sch Med, Shanghai, Peoples R China
[3] KULeuven, Fac Psychol & Educ Sci, Leuven, Belgium
[4] Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Shanghai Key Lab Psychot disorders, Sch Med, Shanghai, Peoples R China
[5] Zhejiang Univ, Childrens Hosp, Clin Trial Inst, Sch Med, Hangzhou, Peoples R China
[6] Zhejiang Univ, Childrens Hosp, Dept Rehabil, Sch Med, Hangzhou, Peoples R China
[7] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
[8] Natl Basic Sci Data Ctr, Beijing, Peoples R China
[9] Beijing Normal Univ, McGovern Inst Brain Res, Dev Populat Neurosci Res Ctr, IDG, Beijing, Peoples R China
[10] Zhejiang Univ, Childrens Hosp, Dept Endocrinol, Sch Med, Hangzhou, Peoples R China
[11] Tongji Univ, Translat Res Inst Brain & Brain Like Intelligence, Sch Med, Shanghai Peoples Hosp 4, Shanghai, Peoples R China
[12] Shanghai Jiao Tong Univ, Brain Sci & Technol Res Ctr, Shanghai, Peoples R China
[13] Shanghai Jiao Tong Univ, Inst Psychol & Behav Sci, Shanghai, Peoples R China
[14] Nantong Univ, Coinnovat Ctr Neuroregenerat, Nantong, Jiangsu, Peoples R China
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Brain development; Brain structure; Childhood development; Developmental brain disorder; Growth curve; Diagnostic imaging; TYPICALLY DEVELOPING-CHILDREN; LANGUAGE-DEVELOPMENT SURVEY; CORTICAL THICKNESS; MRI TEMPLATES; ADOLESCENTS; MATURATION; CHILDHOOD; TOOL; ABNORMALITIES; MYELINATION;
D O I
10.1016/j.neuroimage.2022.119178
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Brain development from 1 to 6 years of age anchors a wide range of functional capabilities and carries early signs of neurodevelopmental disorders. However, quantitative models for depicting brain morphology changes and making individualized inferences are lacking, preventing the identification of early brain atypicality during this period. With a sample size of 285, we characterized the age dependence of the cortical thickness and subcortical volume in neurologically normal children and constructed quantitative growth charts of all brain regions for preschool children. While the cortical thickness of most brain regions decreased with age, the entorhinal and parahippocampal regions displayed an inverted-U shape of age dependence. Compared to the cortical thickness, the normalized volume of subcortical regions exhibited more divergent trends, with some regions increasing, some decreasing, and some displaying inverted-U-shaped trends. The growth curve models for all brain regions demonstrated utilities in identifying brain atypicality. The percentile measures derived from the growth curves facilitate the identification of children with developmental speech and language disorders with an accuracy of 0.875 (area under the receiver operating characteristic curve: 0.943). Our results fill the knowledge gap in brain morphometrics in a critical development period and provide an avenue for individualized brain developmental status evaluation with demonstrated sensitivity. The brain growth charts are shared with the public (http://phigroup.top/resources.html).
引用
收藏
页数:13
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