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Much research has been devoted to the development of emotion recognition tests that can be used to investigate how individuals identify and discriminate emotional expressions of other individuals. One of the most prominent emotion recognition tests is the Reading the Mind in the Eyes Test (RME-T). The original RME-T has been widely used to investigate how individuals recognize complex emotional expressions from the eye region of adult faces. However, the RME-T can only be used to investigate inter-individual differences in complex emotion recognition during the processing of adult faces. To extend its usefulness, we developed a modified version of the RME-T, the Reading the Mind in the Eyes of Children Test (RME-C-T). The RME-C-T can be used to investigate how individuals recognize complex emotional expressions from the eye region of child faces. However, the validity of the RME-C-T has not been evaluated yet. We, thus, administered the RME-C-T together with the RME-T to a sample of healthy adult participants (n = 119). The Interpersonal Reactivity Index (IRI) and the Toronto Alexithymia Scale (TAS) were also administered. Participants’ RME-C-T performance correlated with participants’ RME-T performance, implying that the RME-C-T measures similar emotion recognition abilities as the RME-T. Participants’ RME-C-T performance also correlated with participants’ IRI and TAS scores, indicating that these emotion recognition abilities are affected by empathetic and alexithymic traits. Moreover, participants’ RME-C-T performance differed between participants with high and low TAS scores, suggesting that the RME-C-T is sensitive enough to detect impairments in these emotion recognition abilities. The RME-C-T, thus, turned out to be a valid measure of inter-individual differences in complex emotion recognition during the processing of child faces.
Extinction learning is suggested to be a central mechanism during exposure-based cognitive behavioralpsychotherapy. A positive association between the patients’pretreatment extinction learning performance andtreatment outcome would corroborate the hypothesis. Indeed, there isfirst correlational evidence between reducedextinction learning and therapy efficacy. However, the results of these association studies may be hampered byextinction-training protocols that do not match treatment procedures. Therefore, we developed an extinction-trainingprotocol highly tailored to the procedure of exposure therapy and tested it in two samples of 46 subjects in total. Byusing instructed fear acquisition training, including a consolidation period overnight, we wanted to ensure that theconditioned fear response was well established prior to extinction training, which is the case in patients with anxietydisorders prior to treatment. Moreover, the extinction learning process was analyzed on multiple response levels,comprising unconditioned stimulus (US) expectancy ratings, autonomic responses, defensive brain stem reflexes, andneural activation using functional magnetic resonance imaging. Using this protocol, we found robust fearconditioning and slow-speed extinction learning. We also observed within-group heterogeneity in extinction learning,albeit a stable fear response at the beginning of the extinction training. Finally, we found discordance betweendifferent response systems, suggesting that multiple processes are involved in extinction learning. The paradigmpresented here might help to ameliorate the association between extinction learning performance assessed in thelaboratory and therapy outcomes and thus facilitate translational science in anxiety disorders