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Predicting brain age during typical and atypical development based on structural and functional neuroimaging
Wang, Qi1,2,3; Hu, Ke1,2,3; Wang, Meng1,2,3; Zhao, Yuxin1,2,3; Liu, Yong4; Fan, Lingzhong1,2,3,5; Liu, Bing6,7
发表期刊HUMAN BRAIN MAPPING
ISSN1065-9471
2021-09-14
页码13
通讯作者Liu, Bing(bing.liu@bnu.edu.cn)
摘要Exploring typical and atypical brain developmental trajectories is very important for understanding the normal pace of brain development and the mechanisms by which mental disorders deviate from normal development. A precise and sex-specific brain age prediction model is desirable for investigating the systematic deviation and individual heterogeneity of disorders associated with atypical brain development, such as autism spectrum disorders. In this study, we used partial least squares regression and the stacking algorithm to establish a sex-specific brain age prediction model based on T1-weighted structural magnetic resonance imaging and resting-state functional magnetic resonance imaging. The model showed good generalization and high robustness on four independent datasets with different ethnic information and age ranges. A predictor weights analysis showed the differences and similarities in changes in structure and function during brain development. At the group level, the brain age gap estimation for autistic patients was significantly smaller than that for healthy controls in both the ABIDE dataset and the healthy brain network dataset, which suggested that autistic patients as a whole exhibited the characteristics of delayed development. However, within the ABIDE dataset, the premature development group had significantly higher Autism Diagnostic Observation Schedule (ADOS) scores than those of the delayed development group, implying that individuals with premature development had greater severity. Using these findings, we built an accurate typical brain development trajectory and developed a method of atypical trajectory analysis that considers sex differences and individual heterogeneity. This strategy may provide valuable clues for understanding the relationship between brain development and mental disorders.
关键词autism spectrum disorder brain age prediction developmental heterogeneity multimodal magnetic resonance imaging predictor weights analysis
DOI10.1002/hbm.25660
关键词[WOS]PARAHIPPOCAMPAL ; ORGANIZATION ; PREVALENCE ; DISORDERS ; NETWORK ; DISEASE
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[81771451] ; Beijing Normal University
项目资助者National Natural Science Foundation of China ; Beijing Normal University
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000695613600001
出版者WILEY
七大方向——子方向分类医学影像处理与分析
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/46011
专题脑图谱与类脑智能实验室_脑网络组研究
通讯作者Liu, Bing
作者单位1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing, Peoples R China
5.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China
6.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
7.Chinese Inst Brain Res, Beijing, Peoples R China
第一作者单位模式识别国家重点实验室
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GB/T 7714
Wang, Qi,Hu, Ke,Wang, Meng,et al. Predicting brain age during typical and atypical development based on structural and functional neuroimaging[J]. HUMAN BRAIN MAPPING,2021:13.
APA Wang, Qi.,Hu, Ke.,Wang, Meng.,Zhao, Yuxin.,Liu, Yong.,...&Liu, Bing.(2021).Predicting brain age during typical and atypical development based on structural and functional neuroimaging.HUMAN BRAIN MAPPING,13.
MLA Wang, Qi,et al."Predicting brain age during typical and atypical development based on structural and functional neuroimaging".HUMAN BRAIN MAPPING (2021):13.
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