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分化诱发电位的语义成分。

The semantic component of the evoked potential of differentiation.

作者信息

Izmailov Chingis A, Korshunova Svetlana G, Sokolov Yevgeniy N

机构信息

Moscow State University, Russia.

出版信息

Span J Psychol. 2008 May;11(1):323-42. doi: 10.1017/s1138741600004364.

DOI:10.1017/s1138741600004364
PMID:18630673
Abstract

This work analyzes data from recordings of (occipital and temporal) cortical evoked potentials (called evoked potentials of differentiation (EPD) occurring in humans in response to an abrupt substitution of stimuli. As stimuli we used three groups of words: the names of the ten basic colors taken from Newton's color circle; the names of seven basic emotions forming Shlossberg's circle of emotions; and seven nonsense words comprised of random combinations of letters. Within each group of word stimuli we constructed a matrix of the differences between the amplitudes of mid-latency components of EPD for each pair of words. This matrix was analyzed using the method of multidimensional scaling. As a result of this analysis we were able to distinguish the semantic and configurational components of EPD amplitude. The semantic component of EPD amplitude was evaluated by comparing structure of the data obtained to the circular structures of emotion and color names. The configurational component was evaluated on the basis of the attribute of word length (number of letters). It was demonstrated that the semantic component of the EPD can only be detected in the left occipital lead at an interpeak amplitude of P120-N180. The configurational component is reflected in the occipital and temporal leads to an identical extent, but only in the amplitude of a later (N180-P230) component of the EPD. The results obtained are discussed in terms of the coding of categorized, configurational, and semantic attributes of a visual stimulus.

摘要

这项研究分析了(枕叶和颞叶)皮质诱发电位的记录数据(称为分化诱发电位,即EPD),这些电位是人类在对刺激突然替换做出反应时产生的。作为刺激物,我们使用了三组单词:从牛顿色环中选取的十种基本颜色的名称;构成施洛斯伯格情绪圈的七种基本情绪的名称;以及由字母随机组合而成的七个无意义单词。在每组单词刺激中,我们构建了一个矩阵,用于表示每对单词的EPD中潜伏期成分振幅之间的差异。使用多维标度法对该矩阵进行了分析。通过这种分析,我们能够区分EPD振幅的语义成分和结构成分。通过将所得数据的结构与情绪和颜色名称的圆形结构进行比较,对EPD振幅的语义成分进行了评估。基于单词长度(字母数量)属性对结构成分进行了评估。结果表明,EPD的语义成分只能在左枕叶导联中,在P120 - N180的峰间振幅处检测到。结构成分在枕叶和颞叶导联中的反映程度相同,但仅在EPD的较晚成分(N180 - P230)的振幅中体现。根据视觉刺激的分类、结构和语义属性的编码对所得结果进行了讨论。

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