Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model

doi:10.1176/appi.ajp.2020.19101091

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能感知与计算研究中心

	Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model
	Zhan, Yafeng 8,9; Wei, Jianze 6,7; Liang, Jian 6; Xu, Xiu 5; He, Ran 6; Robbins, Trevor W.2,4; Wang, Zheng 1,3,8,9
刊名	AMERICAN JOURNAL OF PSYCHIATRY
	2021
卷号	178 期号:1 页码:65-76
ISSN号	0002-953X
DOI	10.1176/appi.ajp.2020.19101091
通讯作者	He, Ran(ran.he@ia.ac.cn) ; Wang, Zheng(zheng.wang@ion.ac.cn)
英文摘要	Objective: Psychiatric disorders commonly comprise comorbid symptoms, such as autism spectrum disorder (ASD), obsessive-compulsive disorder (OCD), and attention deficit hyperactivity disorder (ADHD), raising controversies over accurate diagnosis and overlap of their neural underpinnings. The authors used non invasive neuroimaging in humans and nonhuman primates to identify neural markers associated with DSM-5 diagnoses and quantitative measures of symptom severity. Methods: Resting-state functional connectivity data obtained from both wild-type and methyl-CpG binding protein 2 (MECP2) transgenic monkeys were used to construct monkey-derived classifiers for diagnostic classification in four human data sets (ASD: Autism Brain Imaging Data Exchange [ABIDE-I], N=1,112; ABIDE-II, N=1,114; ADHD-200 sample: N=776; OCD local institutional database: N=186). Stepwise linear regression models were applied to examine associations between functional connections of monkey-derived classifiers and dimensional symptom severity of psychiatric disorders. Results: Nine core regions prominently distributed in frontal and temporal cortices were identified in monkeys and used as seeds to construct the monkey-derived classifier that informed diagnostic classification in human autism. This same set of core regions was useful for diagnostic classification in the OCD cohort but not the ADHD cohort. Models based on functional connections of the right ventrolateral prefrontal cortex with the left thalamus and right prefrontal polar cortex predicted communication scores of ASD patients and compulsivity scores of OCD patients, respectively. Conclusions: The identified core regions may serve as a basis for building markers for ASD and OCD diagnoses, as well as measures of symptom severity. These findings may inform future development of machine-learning models for psychiatric disorders and may improve the accuracy and speed of clinical assessments.
资助项目	National Key R&D Program of China[2017YFC1310400] ; National Key R&D Program of China[2018YFC1313803] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32030000] ; Shanghai Municipal Science and Technology Major Project[2018SHZDZX05] ; National Natural Science Foundation[81571300] ; National Natural Science Foundation[81527901] ; National Natural Science Foundation[31771174] ; Key Realm R&D Program of Guangdong Province[2019B030335001] ; Wellcome Trust[104631/Z/12/Z]
WOS关键词	SPECTRUM DISORDERS ; BRAIN ; ANXIETY ; BEHAVIOR ; CONNECTIVITY ; IMPULSIVITY ; REGRESSION ; SELECTION ; SYMPTOMS ; CHILDREN
WOS研究方向	Psychiatry
语种	英语
出版者	AMER PSYCHIATRIC PUBLISHING, INC
WOS记录号	WOS:000604750700010
资助机构	National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Shanghai Municipal Science and Technology Major Project ; National Natural Science Foundation ; Key Realm R&D Program of Guangdong Province ; Wellcome Trust
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42569]
专题	自动化研究所_智能感知与计算研究中心
通讯作者	He, Ran; Wang, Zheng
作者单位	1.Shanghai Ctr Brain Sci & Brain Inspired Intellige, Shanghai, Peoples R China 2.Fudan Univ, Inst Sci & Technol Brain Inspired Intelligence, Shanghai, Peoples R China 3.Chinese Acad Sci, Kunming Inst Zool, Kunming, Yunnan, Peoples R China 4.Univ Cambridge, Dept Psychol, Behav & Clin Neurosci Inst, Cambridge, England 5.Fudan Univ, Dept Child Hlth Care, Childrens Hosp, Shanghai, Peoples R China 6.Chinese Acad Sci, Inst Automat, Ctr Excellence Brain Sci & Intelligence Technol, Natl Lab Pattern Recognit, Beijing, Peoples R China 7.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 8.Univ Chinese Acad Sci, Beijing, Peoples R China 9.Chinese Acad Sci, State Key Lab Neurosci, Key Lab Primate Neurobiol, Inst Neurosci,Ctr Excellence Brain Sci & Intellig, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Zhan, Yafeng,Wei, Jianze,Liang, Jian,et al. Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model[J]. AMERICAN JOURNAL OF PSYCHIATRY,2021,178(1):65-76.
APA	Zhan, Yafeng.,Wei, Jianze.,Liang, Jian.,Xu, Xiu.,He, Ran.,...&Wang, Zheng.(2021).Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model.AMERICAN JOURNAL OF PSYCHIATRY,178(1),65-76.
MLA	Zhan, Yafeng,et al."Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model".AMERICAN JOURNAL OF PSYCHIATRY 178.1(2021):65-76.