2011
DOI: 10.3758/s13415-011-0076-4
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Evaluation of a novel translational task for assessing emotional biases in different species

Abstract: Changes in the processing of emotional information are key features of affective disorders. Neuropsychological tests based on emotional faces or words are used to detect emotional/affective biases in humans, but these tests are not applicable to animal species. In the present study, we investigated whether a novel affective tone discrimination task (ATDT), developed to study emotion-related behaviour in rats, could also be used to quantify changes in affective states in humans. To date, the methods used in hum… Show more

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Cited by 48 publications
(49 citation statements)
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“…On the third level, current positive and negative affect were entered as state variables. Further, we report Pearson correlation coefficients of the bias score and trait anxiety and rumination as both variables have been found to correlate with interpretation bias [18,22]. We used an adjusted p-level of p < .008 corrected for the 6 questionnaire scales.…”
Section: Behavioral Data Analysismentioning
confidence: 99%
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“…On the third level, current positive and negative affect were entered as state variables. Further, we report Pearson correlation coefficients of the bias score and trait anxiety and rumination as both variables have been found to correlate with interpretation bias [18,22]. We used an adjusted p-level of p < .008 corrected for the 6 questionnaire scales.…”
Section: Behavioral Data Analysismentioning
confidence: 99%
“…We computed a hierarchical regression to investigate whether state and trait variables predicted the bias score. To this end, trait anxiety (STAIT sum score) was entered at the first level as anxiety has been reported to correlate with interpretative bias [22]. On the second level, we entered the RSQ sum score since both RSQ subscales (reflection and brooding) correlated with each other and have previously been reported to correlate with interpretative bias [18].…”
Section: Behavioral Data Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Although cognitive bias paradigms have been presented to a variety of species ranging from honeybees (Anderson, Hardcastle, Munafò, & Robinson., 2012) to monkeys (Bethell et al, 2012;Pomerantz, Terkel, Suomi, & Paukner, 2012), only a handful of studies have investigated cognitive bias in apes; in chimpanzees (Allritz, Call, & Borkenau, 2016;Bateson & Nettle, 2015) and our own previous work with gorillas (McGuire, Vonk, Fuller, & Allard, 2017a;McGuire, Vonk, & Johnson-Ulrich, 2017b). We were interested in assessing emotional states in a group of bachelor silverback gorillas because they comprise a relatively young group of silverback gorillas that spend a fair bit of time engaging in agonistic behavior, as they attempt to shift or reaffirm their position in the dominance hierarchy.…”
mentioning
confidence: 99%
“…Additionally, it is difficult to know what an optimal response to an intermediate cue between two learnt cues should be and it is not clear that an optimal response that gives most gain in the short-term will do so in the longterm (McNamara et al 2011). For results to meaningful and interpretable, it is important that test paradigms are developed with a specific species in mind (Anderson et al 2012). Further, when interpreting results, differences in study design must be considered.…”
Section: Judgment Biasmentioning
confidence: 99%