利用情绪体验主观评价的PET情绪研究回归分析

Sargo Aalto , Esa Wallius , Petri Näätänen , Jaana Hiltunen , Liisa Metsähonkala , Hannu Sipilä , Hasse Karlsson
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引用次数: 13

摘要

本文采用被试回归分析(SSRA)对11名健康女性的情绪体验主观评价与神经反应的关系进行了方法学研究。通过验证的电影片段诱导目标情绪,即娱乐和悲伤,使用正电子发射断层扫描(PET)测量区域脑血流量(rCBF),并使用类别比量表(CR-10)测量PET扫描期间情绪体验的主观强度。评价数据的信度分析表明,被试对情绪体验强度的评价在CR-10量表上基本一致(Cronbach alpha值为0.70-0.97)。为了确保SSRA结果的普遍性和研究间的可比性,进行了两期随机效应分析。使用统计非参数映射99 (SnPM99)的随机效应SSRAs显示rCBF与情绪体验的自评强度相关,主要在使用相同成像数据的随机效应减法分析中确定的大脑区域。我们的研究结果初步证明了与娱乐和悲伤相关的神经反应与情绪反应相关的几个区域的情绪体验的自我评估强度之间存在线性关联。利用主观情绪体验评价的SSRA分析方法是一种可行的、有前景的分析方法。它允许对情感的神经生物学以及实际和个人情感体验的神经相关性进行多方面的探索。因此,SSRA可能比传统的减法分析更能捕捉到情绪反应的特殊方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regression analysis utilizing subjective evaluation of emotional experience in PET studies on emotions

A methodological study on subject-specific regression analysis (SSRA) exploring the correlation between the neural response and the subjective evaluation of emotional experience in eleven healthy females is presented. The target emotions, i.e., amusement and sadness, were induced using validated film clips, regional cerebral blood flow (rCBF) was measured using positron emission tomography (PET), and the subjective intensity of the emotional experience during the PET scanning was measured using a category ratio (CR-10) scale. Reliability analysis of the rating data indicated that the subjects rated the intensity of their emotional experience fairly consistently on the CR-10 scale (Cronbach alphas 0.70–0.97). A two-phase random-effects analysis was performed to ensure the generalizability and inter-study comparability of the SSRA results. Random-effects SSRAs using Statistical non-Parametric Mapping 99 (SnPM99) showed that rCBF correlated with the self-rated intensity of the emotional experience mainly in the brain regions that were identified in the random-effects subtraction analyses using the same imaging data. Our results give preliminary evidence of a linear association between the neural responses related to amusement and sadness and the self-evaluated intensity of the emotional experience in several regions involved in the emotional response. SSRA utilizing subjective evaluation of emotional experience turned out a feasible and promising method of analysis. It allows versatile exploration of the neurobiology of emotions and the neural correlates of actual and individual emotional experience. Thus, SSRA might be able to catch the idiosyncratic aspects of the emotional response better than traditional subtraction analysis.

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