中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Investigating cognitive flexibility deficit in schizophrenia using task-based whole-brain functional connectivity

文献类型:期刊论文

作者Wang, Yanqing4,5; Hu, Xueping2,3; Li, Yilu1
刊名FRONTIERS IN PSYCHIATRY
出版日期2022-11-21
卷号13页码:9
ISSN号1664-0640
关键词schizophrenia cognitive flexibility functional connectivity multivariate pattern analysis graph theory analysis
DOI10.3389/fpsyt.2022.1069036
通讯作者Wang, Yanqing(wyq_2016@foxmail.com) ; Hu, Xueping(huxp@jsnu.edu.cn)
英文摘要BackgroundCognitive flexibility is a core cognitive control function supported by the brain networks of the whole-brain. Schizophrenic patients show deficits in cognitive flexibility in conditions such as task-switching. A large number of neuroimaging studies have revealed abnormalities in local brain activations associated with deficits in cognitive flexibility in schizophrenia, but the relationship between impaired cognitive flexibility and the whole-brain functional connectivity (FC) pattern is unclear. MethodWe investigated the task-based functional connectivity of the whole-brain in patients with schizophrenia and healthy controls during task-switching. Multivariate pattern analysis (MVPA) was utilized to investigate whether the FC pattern can be used as a feature to discriminate schizophrenia patients from healthy controls. Graph theory analysis was further used to quantify the degrees of integration and segregation in the whole-brain networks to interpret the different reconfiguration patterns of brain networks in schizophrenia patients and healthy controls. ResultsThe results showed that the FC pattern classified schizophrenia patients and healthy controls with significant accuracy. Moreover, the altered whole-brain functional connectivity pattern was driven by a lower degree of network integration and segregation in schizophrenia, indicating that both global and local information transfers at the entire-network level were less efficient in schizophrenia patients than in healthy controls during task-switching processing. ConclusionThese results investigated the group differences in FC profiles during task-switching and not only elucidated that FC patterns are changed in schizophrenic patients, suggesting that task-based FC could be used as a potential neuromarker to discriminate schizophrenia patients from healthy controls in cognitive flexibility but also provide increased insight into the brain network organization that may contribute to impaired cognitive flexibility.
收录类别SCI
WOS关键词SWITCHING PERFORMANCE ; NETWORK ; CLASSIFICATION ; INTERFERENCE ; ORGANIZATION
资助项目National Natural Science Foundation of China ; Natural Science Research Foundation of Jiangsu Normal University ; [31900750] ; [18XLRX011]
WOS研究方向Psychiatry
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000893313500001
资助机构National Natural Science Foundation of China ; Natural Science Research Foundation of Jiangsu Normal University
源URL[http://ir.psych.ac.cn/handle/311026/44111]  
专题心理研究所_健康与遗传心理学研究室
通讯作者Wang, Yanqing; Hu, Xueping
作者单位1.Univ Elect Sci & Technol China, Chengdu Brain Sci Inst, Ctr Informat Med, Sch Life Sci & Technol,Clin Hosp,MOE Key Lab Neuro, Chengdu, Peoples R China
2.Collaborat Innovat Ctr Language Abil, Key Lab Language & Cognit Neurosci Jiangsu Prov, Xuzhou, Peoples R China
3.Jiangsu Normal Univ, Sch Linguist Sci & Art, Xuzhou, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
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GB/T 7714
Wang, Yanqing,Hu, Xueping,Li, Yilu. Investigating cognitive flexibility deficit in schizophrenia using task-based whole-brain functional connectivity[J]. FRONTIERS IN PSYCHIATRY,2022,13:9.
APA Wang, Yanqing,Hu, Xueping,&Li, Yilu.(2022).Investigating cognitive flexibility deficit in schizophrenia using task-based whole-brain functional connectivity.FRONTIERS IN PSYCHIATRY,13,9.
MLA Wang, Yanqing,et al."Investigating cognitive flexibility deficit in schizophrenia using task-based whole-brain functional connectivity".FRONTIERS IN PSYCHIATRY 13(2022):9.

入库方式: OAI收割

来源:心理研究所

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