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Brief Article

Differential response patterns to disgust-related pictures

, &
Pages 1678-1690 | Received 01 Jun 2017, Accepted 20 Dec 2017, Published online: 05 Jan 2018
 

ABSTRACT

In the present study, attentional bias was investigated as a potential predisposing mechanism for the contamination-related subtype of obsessive-compulsive disorder (C-OC disorder). Fifty healthy participants with varying degrees of subclinical C-OC symptoms performed a visual search task to measure differential attentional biases elicited by neutral, disgust-, and fear-specific pictorial material. Participants had to find a target picture within five neutral distractor pictures randomly presented on different locations in an array. The task was to decide whether the array contained an unpleasant target picture or not. In randomly-selected emotional trials, participants were further asked about the content of the picture and the confidence of their answer. The results show that the reaction times significantly differed between the emotional and neutral pictures. Participants were significantly more confident in answering questions referring to fear compared to disgust pictures. This effect was marginally amplified in participants with higher C-OC symptoms. We discuss the results within the framework of the cost and benefit hypothesis, which postulates that disgust evolutionarily elicits stronger uncertainty compared to fear, owing to the ambiguous nature of the stimuli. Increased uncertainty might be an important but underestimated factor for pathological disgust experience, such as in obsessive-compulsive disorder.

Acknowledgements

We express our appreciation to the individuals who participated in the experiment.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. The International Affective Picture System and technical manuals (Lang et al., Citation2008) are available on CD-ROM and can be obtained upon request from the original authors. The IAPS numbers for fear pictures used in this experiment are: 1050, 1120, 1200, 1205, 1300, 1525, 1930, 1932, 6190, 6231, 6313, 6520, 6570, 9940, 9635; for disgust pictures: 3019, 3103, 3170, 3261, 7380, 9043, 9301, 9320, 9570, 9322; for neutral pictures: 7002, 7003, 7004, 7010, 7012, 7020, 7026, 7032, 7035, 7040, 7057, 8502, 7200, 7235, 7705, 7060. DIRTI database (Haberkamp, Glombiewski, Schmidt, & Barke, Citation2017) numbers for neutral pictures: 1047, 1043, 1044, 1050, 1093, 1100, 1192, 1194, 1195, 1245, 1246, 1248, 1291, 1293, 1296, 1297 and the disgust picture: 1116; and for the training block: DIRTI neutral: 1041, 1042, 1045, 1046, 1047, 1048, 1049, 1091; IAPS anger: 2691, 2810, 2130; sad: 2301, 2457, 2900

2. In a recent article, Aarts, Verhage, Veenvliet, Dolan, and van der Sluis (Citation2014) simulated the type I error of conventional vs. multilevel analyses in such nested designs. The authors found that the α-error increases rapidly when the average number of observations per cluster increases. Furthermore, the α-error was almost doubled when the intercluster correlation increased from 0.1 to 0.5. Because multilevel modelling is not susceptible to the type I error, it was applied in the present study.

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