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 |
DOI | 10.3389/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 |
推荐引用方式 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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