Multimodal brain deficits shared in early-onset and adult-onset schizophrenia predict positive symptoms regardless of illness stage

doi:10.1002/hbm.25862

	Multimodal brain deficits shared in early-onset and adult-onset schizophrenia predict positive symptoms regardless of illness stage
	Feng, Aichen 2,7,8; Luo, Na 2,8; Zhao, Wentao 1; Calhoun, Vince D.5,6; Jiang, Rongtao 3; Zhi, Dongmei 4; Shi, Weiyang 2,7,8; Jiang, Tianzi 2,7,8; Yu, Shan 2,7,8; Xu, Yong 1
刊名	HUMAN BRAIN MAPPING
	2022-04-07
页码	12
关键词	early-onset schizophrenia (EOS) MRI multimodal fusion PANSS symptom prediction
ISSN号	1065-9471
DOI	10.1002/hbm.25862
通讯作者	Liu, Sha(liusha@sxmu.edu.cn) ; Sui, Jing(jsui@bnu.edu.cn)
英文摘要	Incidence of schizophrenia (SZ) has two predominant peaks, in adolescent and young adult. Early-onset schizophrenia provides an opportunity to explore the neuropathology of SZ early in the disorder and without the confound of antipsychotic mediation. However, it remains unexplored what deficits are shared or differ between adolescent early-onset (EOS) and adult-onset schizophrenia (AOS) patients. Here, based on 529 participants recruited from three independent cohorts, we explored AOS and EOS common and unique co-varying patterns by jointly analyzing three MRI features: fractional amplitude of low-frequency fluctuations (fALFF), gray matter (GM), and functional network connectivity (FNC). Furthermore, a prediction model was built to evaluate whether the common deficits in drug-naive SZ could be replicated in chronic patients. Results demonstrated that (1) both EOS and AOS patients showed decreased fALFF and GM in default mode network, increased fALFF and GM in the sub-cortical network, and aberrant FNC primarily related to middle temporal gyrus; (2) the commonly identified regions in drug-naive SZ correlate with PANSS positive significantly, which can also predict PANSS positive in chronic SZ with longer duration of illness. Collectively, results suggest that multimodal imaging signatures shared by two types of drug-naive SZ are also associated with positive symptom severity in chronic SZ and may be vital for understanding the progressive schizophrenic brain structural and functional deficits.
资助项目	National Key Research and Development Program of China[2017YFA0105203] ; National Natural Sciences Foundation of China[82022035] ; National Natural Sciences Foundation of China[61773380] ; National Natural Sciences Foundation of China[82001450] ; National Natural Sciences Foundation of China[81701326] ; China Postdoctoral Science Foundation[BX20200364] ; National Institute of Health[R01MH117107] ; National Institute of Health[P20GM103472] ; National Institute of Health[P30GM122734] ; Shanxi Provincial Science and Technology achievements transformation and guidance project[201904D131020] ; Special Project of Scientific Research Plan Talents of Shanxi Provincial Health Commission[2020081] ; Shanxi Province Overseas Students Science and Technology Activity Funding Project[20200038] ; National Science Foundation[1539067] ; National Science Foundation[2112455]
WOS关键词	ANTERIOR CINGULATE CORTEX ; FUNCTIONAL CONNECTIVITY ; DEFAULT-MODE ; 1ST-EPISODE SCHIZOPHRENIA ; ANTIPSYCHOTIC TREATMENT ; MENTAL-DISORDERS ; NETWORK ; FMRI ; ABNORMALITIES ; STRIATUM
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:000779378100001
资助机构	National Key Research and Development Program of China ; National Natural Sciences Foundation of China ; China Postdoctoral Science Foundation ; National Institute of Health ; Shanxi Provincial Science and Technology achievements transformation and guidance project ; Special Project of Scientific Research Plan Talents of Shanxi Provincial Health Commission ; Shanxi Province Overseas Students Science and Technology Activity Funding Project ; National Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/48264]
专题	自动化研究所_脑网络组研究中心
通讯作者	Liu, Sha; Sui, Jing
作者单位	1.Shanxi Med Univ, Dept Psychiat, Clin Med Coll 1, Hosp 1, Taiyuan 030000, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 3.Yale Univ, Dept Radiol & Biomed Imaging, New Haven, CT USA 4.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China 5.Emory Univ, Atlanta, GA 30322 USA 6.Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA 30303 USA 7.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 8.Chinese Acad Sci, Brainnetome Ctr, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Feng, Aichen,Luo, Na,Zhao, Wentao,et al. Multimodal brain deficits shared in early-onset and adult-onset schizophrenia predict positive symptoms regardless of illness stage[J]. HUMAN BRAIN MAPPING,2022:12.
APA	Feng, Aichen.,Luo, Na.,Zhao, Wentao.,Calhoun, Vince D..,Jiang, Rongtao.,...&Sui, Jing.(2022).Multimodal brain deficits shared in early-onset and adult-onset schizophrenia predict positive symptoms regardless of illness stage.HUMAN BRAIN MAPPING,12.
MLA	Feng, Aichen,et al."Multimodal brain deficits shared in early-onset and adult-onset schizophrenia predict positive symptoms regardless of illness stage".HUMAN BRAIN MAPPING (2022):12.