首页> 外文学位 >Affect valence and unconscious processing: An event-related potential study.
【24h】

Affect valence and unconscious processing: An event-related potential study.

机译:影响价和无意识加工:与事件相关的潜在研究。

获取原文
获取原文并翻译 | 示例

摘要

This study undertakes to answer the following question: what are the signal properties of the brain related to the conscious and unconscious processing of subjective affective stimuli? We hypothesized that (1) subjective ratings of emotionally valent stimuli can be differentiated by event-related potentials (ERPs), and (2) subliminal and supraliminal stimuli can be differentiated by ERPs. ERP component amplitude measures (N100, P200, P300, and N400) were used to relate subjective ratings of emotional stimuli (Osgood semantic differential evaluative scale) with both supraliminal (conscious) and subliminal (unconscious) presentations of these emotional stimuli. Four datasets were used to investigate these hypotheses. Two datasets use words as stimuli and two datasets use schematic faces as stimuli. A consistent set of analyses was applied across these four data sets looking at pleasant and unpleasant emotion ratings and conscious and unconscious processing. Findings supported both hypotheses. Component amplitudes differentiated pleasant from unpleasant stimuli, both supraliminally and subliminally. For words a positivity across component for negative words supraliminally was found. For one of two datasets based on words this pattern reversed subliminally, the other showed a pattern consistent with the supraliminal. For faces, an interrelationship among components differentiated the pleasant and unpleasant stimuli both supraliminally and subliminally. However, this differentiation for faces showed exactly opposite component amplitude directions supraliminally and subliminally. Findings are discussed in the context of growing interest in basic research in the areas of emotion and unconscious processing.
机译:这项研究致力于回答以下问题:与主观情感刺激的有意识和无意识处理相关的大脑信号特性是什么?我们假设(1)情绪性刺激的主观评分可以通过事件相关电位(ERPs)来区分,(2)阈下和上inal上刺激可以通过ERPs来区分。 ERP组件振幅量度(N100,P200,P300和N400)用于将情绪刺激的主观评分(Osgood语义差异评估量表)与这些情绪刺激的上,下意识(潜意识)表现相关。四个数据集用于研究这些假设。两个数据集使用单词作为刺激,而两个数据集使用原理图面作为刺激。对这四个数据集进行了一致的分析,以观察令人愉快和不愉快的情绪评分以及有意识和无意识的处理。研究结果支持这两种假设。分量振幅从上到下和从下到上将愉快和不愉快的刺激区分开。对于单词,发现从头到尾对否定单词的所有成分都具有积极性。对于基于单词的两个数据集之一,此模式在下限处反转,而另一个显示出与上ral侧一致的模式。对于面部,各成分之间的相互关系使上下和上下的愉悦和不愉快的刺激区别开来。然而,面部的这种区分在上下和上下显示了完全相反的分量振幅方向。在情感和无意识加工领域对基础研究越来越感兴趣的背景下讨论了发现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号