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Functional Connectivity Between Sensory-Motor Subnetworks Reflects the Duration of Untreated Psychosis and Predicts Treatment Outcome of First-Episode Drug-Naive Schizophrenia
Zhang, Yiwen1,2,3,4; Xu, Lihua2; Hu, Yang1,2,3,4; Wu, Jinfeng5,6,7; Li, Chunbo2,3,4,5; Wang, Jijun2,3,4; Yang, Zhi1,2,3,4
First AuthorZhang, Yiwen
2019-08-01
Source PublicationBIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
ISSN2451-9022
SubtypeArticle
Volume4Issue:8Pages:697-705
Contribution Rank6
Abstract

BACKGROUND: Somatic symptoms and motor abnormalities have been consistently reported as typical symptoms of schizophrenia, but evidence linking impaired functional connectivity among the primary sensory-motor network and its associations to schizophrenia is largely lacking. The present study aims to examine abnormal functional connectivity in the sensory-motor network in schizophrenia and its associations with the duration of untreated psychosis and medication treatment effects. We hypothesize that patients with schizophrenia suffer from disrupted functional connectivity between the sensory-motor subnetworks. The degree of impairment in the connectivity could reflect the duration of untreated psychosis and predict outcomes of medication treatment. METHODS: At baseline, resting-state functional magnetic resonance imaging data were acquired from 60 first-episode patients with drug-naive schizophrenia (36 were female) and 60 matching normal control subjects (31 were female). After 2 months, 23 patients who received medication treatment and 32 normal control subjects were rescanned. Functional connectivity among subnetworks in the sensory-motor system was compared between the groups and correlated with the duration of untreated psychosis and the treatment outcome. RESULTS: Patients with schizophrenia showed significantly disrupted functional connectivity in the sensory-motor network. The degree of impairment reflected the duration of untreated psychosis and motor-related symptoms. It further predicted the improvement of positive scores after medication. CONCLUSIONS: These findings suggest that functional connectivity in the sensory-motor network could indicate the severity of neural impairment in schizophrenia, and it deserves more attention in the search for neuroimaging markers for evaluating neural impairment and prognosis.

KeywordDuration of untreated psychosis Schizophrenia Sensory-motor fMRI Functional connectivity Treatment outcome
DOI10.1016/j.bpsc.2019.04.002
Indexed BySCI
Language英语
Funding OrganizationNational Science Foundation of China ; Beijing Nova Program for Science and Technology ; Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support ; Hundred-Talent Fund from Shanghai Municipal Commission of Health ; Shanghai Hospital Development Center ; Shanghai Mental Health Center
Funding ProjectNational Science Foundation of China[81571756] ; National Science Foundation of China[81270023] ; Beijing Nova Program for Science and Technology[XXJH2015079B] ; Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support[20171929] ; Hundred-Talent Fund from Shanghai Municipal Commission of Health[2018BR17] ; Shanghai Hospital Development Center[16CR2015A] ; Shanghai Hospital Development Center[16CR3017A] ; Shanghai Mental Health Center[13dz2260500] ; Shanghai Mental Health Center[2018-YJ-03] ; Shanghai Mental Health Center[2018-YJ-02]
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000494424900005
PublisherELSEVIER
WOS KeywordTREATMENT-RESISTANT SCHIZOPHRENIA ; NEUROLOGICAL SOFT SIGNS ; RATING-SCALE ; ANTIPSYCHOTIC-DRUGS ; SENSORIMOTOR CORTEX ; BASAL GANGLIA ; 1ST EPISODE ; ABNORMALITIES ; CATATONIA ; NETWORKS
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/30795
Collection中国科学院行为科学重点实验室
Corresponding AuthorWang, Jijun; Yang, Zhi
Affiliation1.Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Lab Psychol Hlth & Imaging, Sch Med, Shanghai, Peoples R China
2.Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Shanghai Key Lab Psychot Disorders, Sch Med, Shanghai, Peoples R China
3.Shanghai Jiao Tong Univ, Inst Psychol & Behav Sci, Shanghai, Peoples R China
4.Shanghai Jiao Tong Univ, Brain Sci & Technol Res Ctr, Shanghai, Peoples R China
5.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai, Peoples R China
6.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China
7.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yiwen,Xu, Lihua,Hu, Yang,et al. Functional Connectivity Between Sensory-Motor Subnetworks Reflects the Duration of Untreated Psychosis and Predicts Treatment Outcome of First-Episode Drug-Naive Schizophrenia[J]. BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING,2019,4(8):697-705.
APA Zhang, Yiwen.,Xu, Lihua.,Hu, Yang.,Wu, Jinfeng.,Li, Chunbo.,...&Yang, Zhi.(2019).Functional Connectivity Between Sensory-Motor Subnetworks Reflects the Duration of Untreated Psychosis and Predicts Treatment Outcome of First-Episode Drug-Naive Schizophrenia.BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING,4(8),697-705.
MLA Zhang, Yiwen,et al."Functional Connectivity Between Sensory-Motor Subnetworks Reflects the Duration of Untreated Psychosis and Predicts Treatment Outcome of First-Episode Drug-Naive Schizophrenia".BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING 4.8(2019):697-705.
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