Analyzing the components of ERP related to competition results using a principal component analysis

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Other Title
  • 競争の結果に関連したERPの構成成分について : 主成分分析法による

Abstract

In this paper, P300 was evaluated in competitive situation using a principal component analysis (PCA) to verify the results obtained from the analysis of the mean amplitudes. The P300 was elicited by presenting the results of competition, in which the subjects with high and low levels of competitiveness completed a reaction time task with a warning stimulus comprising visible or invisible opponents. Eight principal components, such as slow wave and PINV, were extracted, and the third component was identified as P300 since it peaked at approximate 300ms after the presentation of the competition results. The effects of subjects' competitiveness, opponent visibility, winning or losing, and topography were examined on the component scores which were considered to reflect the amplitude of P300. For subjects with high levels of competitiveness, P300 was larger under competitive situations with an invisible opponent than that in the case of a visible opponent. For subjects with low levels of competitiveness, P300 was larger and RT was shorter when competing with a visible opponent than in the case of an invisible opponent. These findings suggest that the high competitiveness subjects were actively processing information under competitive situations by distributing attentional resources, and that the arousal level of the low competitiveness subjects increased when they competed with a visible opponent. A larger P300 was generally observed in winning trials rather than in losing trials of competitive conditions, and this indicates that the task in competitive situations was performed with the aim to win. In addition, the topographical distribution was more central than parietal and more midline than left hemispherical, as had been reported. The findings of this study supported the previous studies and found new characteristics of cognitive activity in competitive situations.

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Details 詳細情報について

  • CRID
    1390282679766405760
  • NII Article ID
    110007227171
  • DOI
    10.20595/jjbf.36.1_47
  • ISSN
    24323888
    03861856
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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