ERP instantaneous synchronization analysis based on cross approximate entropy  被引量:2

ERP instantaneous synchronization analysis based on cross approximate entropy

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作  者:Zhao Nan Liu Xiaofeng Yu Wenli Wang Supin 

机构地区:[1]The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi' anJiaotong University, Xi'an 710049, China [2]Center of Robotics, College of Information and Electrical Engineering, Shandong Univer-sity of Science & Technology, Qingdao 266510, China)

出  处:《Progress in Natural Science:Materials International》2007年第B07期161-164,共4页自然科学进展·国际材料(英文版)

基  金:Supported by National Natural Science Foundation of China (Grant No. 30070212)

摘  要:A complexity estimating algorithm, cross approximate entropy (Cross-ApEn), was developed to analyze the instantaneous synchronization of cognitive ERPs, which could indicate the interactions of different brain regions during selective attention tasks. In order to illustrate the validity of Cross-ApEn's reflection of instantaneous synchronization, cross covariance was also calculated to compare with the final result. Two main phenomena can be noticed from this investigation: (1) The Cross-ApEn of electrode pairs over frontal and parietal areas became lower during the response period (0--400 ms) in both incongruent and congruent situations. (2) It was shown that Cross-ApEn presents lower value in incongruent situation than that in congruent one during response period (0--400 ms) at most electrode pairs. These results demonstrated that Cross-ApEn is effective to evaluate ERPs' instantaneous synchronization designating the cooperation of different brain regions and may bring a new view to cognitive neural imaging and recognition.A 复杂性估计算法,生气的近似的熵(Cross-ApEn ) ,被开发分析认知 ERP 的即时同步,它能在选择注意任务期间显示不同大脑区域的相互作用。以便说明 Cross-ApEn 即时同步的思考的有效性,生气协变性也是打算的与最后的结果作比较。二主要现象能从这调查被注意:(1 ) 电极的 Cross-ApEn 配对在上正面并且顶骨区域在反应时期期间变得更低(0—400 ms ) 处于不一致、适合的状况。(2 ) Cross-ApEn 在适合的 oneduringresponse 时期比那处于不一致的状况介绍更低的价值,这被显示出(0—400 ms ) 至多电极对。这些结果证明 thatCross-ApEn 是有效的评估 ERP 指明不同大脑区域的合作的即时同步并且可以把一个新看法带到认知神经成像和识别。

关 键 词:cross approximate entropy SYNCHRONIZATION COMPLEXITY ERP Stroop. 

分 类 号:Q-3[生物学]

 

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