Fuzzy segmentation spatiotemporal patterns of cognitive potential into microstates
Zhou, S; Wang, CM; Wei, JH; Wu, SL; Shu Zhou
摘要Fuzzy c-mean algorithm was applied to segment spatiotemporal patterns of brainwave into microstates and memberships. The optimal clustering number was estimated with both the trends of objective function and the eigenvalue number of microstates. Comparable spatial patterns may occur at different temporal moments in consideration of fuzzy index that is beyond the Limit of serial processing. Those techniques were illustrated with multichannel event-related potentials recorded from 9 subjects during Stroop test. Statistical parametric map of F value suggested that significant task (color decision and word decision) effect involve widespread cortical regions after stimulus onset 280 ms and this result supports the hypothesis that Stroop interference derives from response competition during post-perception stage. As significant stimulus (congruent stimulus and incongruent stimulus) effect only involves several separate visual regions within 100 ms after stimulus presentation, it may reflect top-down attentional regulation.; Fuzzy c-mean algorithm was applied to segment spatiotemporal patterns of brainwave into microstates and memberships. The optimal clustering number was estimated with both the trends of objective function and the eigenvalue number of microstates. Comparable spatial patterns may occur at different temporal moments in consideration of fuzzy index that is beyond the Limit of serial processing. Those techniques were illustrated with multichannel event-related potentials recorded from 9 subjects during Stroop test. Statistical parametric map of F value suggested that significant task (color decision and word decision) effect involve widespread cortical regions after stimulus onset 280 ms and this result supports the hypothesis that Stroop interference derives from response competition during post-perception stage. As significant stimulus (congruent stimulus and incongruent stimulus) effect only involves several separate visual regions within 100 ms after stimulus presentation, it may reflect top-down attentional regulation.
关键词fuzzy C-mean algorithm clustering analysis statistical parametric map (SPM) Stroop test event-related potentials (ERP) spatiotemporal pattern
学科领域生理心理学/生物心理学
1999-09-01
语种英语
发表期刊BRAIN TOPOGRAPHY
ISSN0896-0267
卷号12期号:1页码:61-67
期刊论文类型Article
收录类别SCI ; SSCI
WOS记录号WOS:000083775000006
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.psych.ac.cn/handle/311026/5433
专题中国科学院心理研究所回溯数据库(1956-2010)
通讯作者Shu Zhou
作者单位1.Chinese Acad Sci, Inst Psychol, Brain Behav Res Ctr, Beijing 100101, Peoples R China
2.First Mil Med Univ, Nanfang Hosp, Brain Res Ctr, Guangzhou, Peoples R China
3.Beijing Normal Univ, Dept Psychol, Beijing 100875, Peoples R China
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GB/T 7714
Zhou, S,Wang, CM,Wei, JH,et al. Fuzzy segmentation spatiotemporal patterns of cognitive potential into microstates[J]. BRAIN TOPOGRAPHY,1999,12(1):61-67.
APA Zhou, S,Wang, CM,Wei, JH,Wu, SL,&Shu Zhou.(1999).Fuzzy segmentation spatiotemporal patterns of cognitive potential into microstates.BRAIN TOPOGRAPHY,12(1),61-67.
MLA Zhou, S,et al."Fuzzy segmentation spatiotemporal patterns of cognitive potential into microstates".BRAIN TOPOGRAPHY 12.1(1999):61-67.
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