CASIA OpenIR  > 脑网络组研究
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis
Du, Yuhui1,2; Fryer, Susanna L.3,4; Fu, Zening1; Lin, Dongdong1; Sui, Jing1,5,6; Chen, Jiayu1; Damaraju, Eswar1; Mennigen, Eva1,7; Stuart, Barbara3; Loewy, Rachel L.3; Mathalon, Daniel H.3,4; Calhoun, Vince D.1,7
Source PublicationNEUROIMAGE
ISSN1053-8119
2018-10-15
Volume180Pages:632-645
Corresponding AuthorDu, Yuhui(ydu@mrn.org)
AbstractIndividuals at clinical high-risk (CHR) for psychosis are characterized by attenuated psychotic symptoms. Only a minority of CHR individuals convert to full-blown psychosis. Therefore, there is a strong interest in identifying neurobiological abnormalities underlying the psychosis risk syndrome. Dynamic functional connectivity (DFC) captures time-varying connectivity over short time scales, and has the potential to reveal complex brain functional organization. Based on resting-state functional magnetic resonance imaging (fMRI) data from 70 healthy controls (HCs), 53 CHR individuals, and 58 early illness schizophrenia (ESZ) patients, we applied a novel group information guided ICA (GIG-ICA) to estimate inherent connectivity states from DFC, and then investigated group differences. We found that ESZ patients showed more aberrant connectivities and greater alterations than CHR individuals. Results also suggested that disease-related connectivity states occurred in CHR and ESZ groups. Regarding the dominant state with the highest contribution to dynamic connectivity, ESZ patients exhibited greater impairments than CHR individuals primarily in the cerebellum, frontal cortex, thalamus and temporal cortex, while CHR and ESZ populations shared common aberrances mainly in the supplementary motor area, parahippocampal gyrus and postcentral cortex. CHR-specific changes were also found in the connections between the superior frontal gyrus and calcarine cortex in the dominant state. Our findings suggest that CHR individuals generally show an intermediate functional connectivity pattern between HCs and SZ patients but also have unique connectivity alterations.
KeywordfMRI Dynamic functional connectivity Connectivity state ICA Schizophrenia Clinical high-risk
DOI10.1016/j.neuroimage.2017.10.022
WOS KeywordTIME-VARYING CONNECTIVITY ; GLOBAL SIGNAL REGRESSION ; RESTING-STATE NETWORKS ; GIG-ICA APPLICATION ; ULTRA-HIGH-RISK ; BRAIN CONNECTIVITY ; PRODROMAL SYMPTOMS ; WORKING-MEMORY ; MENTAL STATE ; FMRI
Indexed BySCI
Language英语
Funding ProjectNational Institutes of Health[5P20RR021938/P20GM103472] ; National Institutes of Health[R01EB020407] ; National Science Foundation[1539067] ; National Institute of Mental Health[R01MH076989] ; National Natural Science Foundation of China[61703253] ; Natural Science Foundation of Shanxi[2016021077] ; National Institutes of Health[5P20RR021938/P20GM103472] ; National Institutes of Health[R01EB020407] ; National Science Foundation[1539067] ; National Institute of Mental Health[R01MH076989] ; National Natural Science Foundation of China[61703253] ; Natural Science Foundation of Shanxi[2016021077]
Funding OrganizationNational Institutes of Health ; National Science Foundation ; National Institute of Mental Health ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000443271100025
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
Citation statistics
Cited Times:51[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20272
Collection脑网络组研究
Corresponding AuthorDu, Yuhui
Affiliation1.Mind Res Network, 1101 Yale Blvd NE, Albuquerque, NM 87131 USA
2.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Shanxi, Peoples R China
3.Univ Calif San Francisco, Dept Psychiat, San Francisco, CA USA
4.San Francisco VA Healthcare Syst, Mental Hlth Serv, San Francisco, CA USA
5.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
7.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
Recommended Citation
GB/T 7714
Du, Yuhui,Fryer, Susanna L.,Fu, Zening,et al. Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis[J]. NEUROIMAGE,2018,180:632-645.
APA Du, Yuhui.,Fryer, Susanna L..,Fu, Zening.,Lin, Dongdong.,Sui, Jing.,...&Calhoun, Vince D..(2018).Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.NEUROIMAGE,180,632-645.
MLA Du, Yuhui,et al."Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis".NEUROIMAGE 180(2018):632-645.
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