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Reappraisal of Threat Value: Loss of Blocking in Human Aversive Conditioning

Published online by Cambridge University Press:  30 October 2013

Yannick Boddez
Affiliation:
KU Leuven (Belgium)
Frank Baeyens
Affiliation:
KU Leuven (Belgium)
Dirk Hermans
Affiliation:
KU Leuven (Belgium)
Tom Beckers*
Affiliation:
KU Leuven (Belgium)
*
*Correspondence concerning this article should be addressed to Tom Beckers. Department of Psychology. KU Leuven. Tiensestraat 102 box 3712, 3000 Leuven (Belgium). E-mail: tom.beckers@ppw.kuleuven.be
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Abstract

Non-specificity of fear is a core aspect of what makes anxiety disorders so impairing: Fear does not remain specific to a single stimulus paired with danger, but generalizes to a broad set of stimuli, resulting in a snowballing of threat signals. The blocking procedure can provide a valuable laboratory model for gaining insight into such threat appraisal and generalization processes. We report two experiments in which we induced selective threat appraisal by using a blocking procedure in human aversive conditioning. We subsequently assessed to what extent such selective threat appraisal is sensitive to different kinds of interference. Results illustrate that the maintenance of selective threat appraisal is not guaranteed: Stimuli present during an aversive conditioning event that are initially tagged with a low threat value, can come to be tagged with a higher threat value later on, without additional experience with these stimuli. We argue that such interference in selective threat appraisal might be one of the mechanisms underlying the pathogenesis of non-specific fear.

Information

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2013 
Figure 0

Table 1. Design Summary of Experiment 1

Figure 1

Figure 1. Mean ratings at testing in Experiment 1. Error bars represent the standard error of the means.

Figure 2

Table 2. Design Summary of Experiment 2

Figure 3

Figure 2. Mean ratings at testing in Experiment 2. Error bars represent the standard error of the means.