PSYCH OpenIR  > 中国科学院行为科学重点实验室
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
第一作者Zhang, Yiwen
心理所单位排序6
摘要

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.

关键词Duration of untreated psychosis Schizophrenia Sensory-motor fMRI Functional connectivity Treatment outcome
2019-08-01
语种英语
DOI10.1016/j.bpsc.2019.04.002
发表期刊BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
ISSN2451-9022
卷号4期号:8页码:697-705
期刊论文类型Article
收录类别SCI
资助项目National 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]
出版者ELSEVIER
WOS关键词TREATMENT-RESISTANT SCHIZOPHRENIA ; NEUROLOGICAL SOFT SIGNS ; RATING-SCALE ; ANTIPSYCHOTIC-DRUGS ; SENSORIMOTOR CORTEX ; BASAL GANGLIA ; 1ST EPISODE ; ABNORMALITIES ; CATATONIA ; NETWORKS
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000494424900005
资助机构National 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
引用统计
被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/30795
专题中国科学院行为科学重点实验室
通讯作者Wang, Jijun; Yang, Zhi
作者单位1.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
推荐引用方式
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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Functional Connectiv(937KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Yiwen]的文章
[Xu, Lihua]的文章
[Hu, Yang]的文章
百度学术
百度学术中相似的文章
[Zhang, Yiwen]的文章
[Xu, Lihua]的文章
[Hu, Yang]的文章
必应学术
必应学术中相似的文章
[Zhang, Yiwen]的文章
[Xu, Lihua]的文章
[Hu, Yang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。