Predicting brain age during typical and atypical development based on structural and functional neuroimaging

doi:10.1002/hbm.25660

	Predicting brain age during typical and atypical development based on structural and functional neuroimaging
	Wang, Qi 1,2,3; Hu, Ke 1,2,3; Wang, Meng 1,2,3; Zhao, Yuxin 1,2,3; Liu, Yong 4; Fan, Lingzhong 1,2,3,5; Liu, Bing 6,7
刊名	HUMAN BRAIN MAPPING
	2021-09-14
页码	13
关键词	autism spectrum disorder brain age prediction developmental heterogeneity multimodal magnetic resonance imaging predictor weights analysis
ISSN号	1065-9471
DOI	10.1002/hbm.25660
通讯作者	Liu, Bing(bing.liu@bnu.edu.cn)
英文摘要	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.
资助项目	National Natural Science Foundation of China[81771451] ; Beijing Normal University
WOS关键词	PARAHIPPOCAMPAL ; ORGANIZATION ; PREVALENCE ; DISORDERS ; NETWORK ; DISEASE
WOS研究方向	Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
语种	英语
出版者	WILEY
WOS记录号	WOS:000695613600001
资助机构	National Natural Science Foundation of China ; Beijing Normal University
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46010]
专题	自动化研究所_脑网络组研究中心
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
推荐引用方式 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.