自然主义恐惧中代价高昂的回避的时间动态:对恐惧和奖励信息的顺序采样的证据
Juliane M Boschet-Lange1, Stefan Scherbaum2, Andre Pittig3
1University of Würzburg, Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), Marcusstraße 9-11, 97070 Würzburg, Germany.
Journal of anxiety disorders
|March 1, 2024
概括
非常害怕的人表现出代价高昂的回避,恐惧影响决策比奖励更多. 这表明有偏见的证据积累,而不是受损的认知控制,驱动着焦虑中的病态回避.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 行为经济学是一种行为经济学.
背景情况:
- 焦虑障碍的特点是过度回避,即使接近情况也能带来好处.
- 在焦虑中解决方法避免冲突的基础机制尚不清楚.
研究的目的:
- 为了研究强烈的蜘蛛恐惧症的个体中接近-避开决策的时间动态.
- 在解释回避行为时,区分顺序采样和认知控制模型.
主要方法:
- 参与者 (非常害怕和不害怕) 在不同恐惧 (蜘蛛概率) 和奖励信息的选项之间重复选择.
- 追踪了鼠标的运动,以实时分析决策动态.
- 时间连续的多重回归评估了恐惧和奖励信息对选择的影响.
主要成果:
- 非常害怕的参与者表现出更大的回避,接受较低的奖励.
- 与奖励信息相比,恐惧信息对决策产生了更大的影响.
- 信息呈现的顺序 (首先是恐惧或奖励) 影响了它对决策的早期影响.
结论:
- 这些发现支持了一种序列采样模型,其中恐惧和奖励信息随着时间的推移而积累.
- 病理性回避似乎源于偏见的证据积累,而不是认知控制的缺陷.
- 了解这些动态,可以了解焦虑障碍机制.
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