The role of emotion regulation in subclinical symptoms of mental disorders in adolescence is not yet well understood. This meta-analytic review examines the relationship between the habitual use of prominent adaptive emotion regulation strategies (cognitive reappraisal, problem solving, and acceptance) and maladaptive emotion regulation strategies (avoidance, suppression, and rumination) with depressive and anxiety symptoms in adolescence. Analyzing 68 effect sizes from 35 studies, we calculated overall outcomes across depressive and anxiety symptoms as well as psychopathology-specific outcomes. Age was examined as a continuous moderator via meta-regression models. The results from random effects analyses revealed that the habitual use of all emotion regulation strategies was significantly related to depressive and anxiety symptoms overall, with the adaptive emotion regulation strategies showing negative associations (i.e., less symptoms) with depressive and anxiety symptoms whereas the maladaptive emotion regulation strategies showed positive associations (i.e., more symptoms). A less frequent use of adaptive and a more frequent use of maladaptive emotion regulation strategies were associated with depressive and anxiety symptoms comparably in the respective directions. Regarding the psychopathology-specific outcomes, depressive and anxiety symptoms displayed similar patterns across emotion regulation strategies showing the strongest negative associations with acceptance, and strongest positive associations with avoidance and rumination. The findings underscore the relevance of adaptive and also maladaptive emotion regulation strategies in depressive and anxiety symptoms in youth, and highlight the need to further investigate the patterns of emotion regulation as a potential transdiagnostic factor.

It is generally thought that individuals with Asperger's syndrome and high-functioning autism (AS/HFA) have deficits in theory of mind. These deficits have been previously linked to problems with social cognition. However, we reasoned that AS/HFA individuals' Theory of Mind deficits also might lead to problems with emotion regulation. To assess emotional functioning in AS/HFA, 27 AS/HFA adults (16 women) and 27 age-, gender-, and education-matched typically developing (TD) participants completed a battery of measures of emotion experience, labeling, and regulation. With respect to emotion experience, individuals with AS/HFA reported higher levels of negative emotions, but similar levels of positive emotions, compared with TD individuals. With respect to emotion labeling, individuals with AS/HFA had greater difficulties identifying and describing their emotions, with approximately two-thirds exceeding the cutoff for alexithymia. With respect to emotion regulation, individuals with AS/HFA used reappraisal less frequently than TD individuals and reported lower levels of reappraisal self-efficacy. Although AS/HFA individuals used suppression more frequently than TD individuals, no difference in suppression self-efficacy was found. It is important to note that these differences in emotion regulation were evident even when controlling for emotion experience and labeling. Implications of these deficits are discussed, and future research directions are proposed.

The aim of this study was to examine the relationship between emotion dysregulation and the core features of Autism Spectrum Disorder (ASD), which include social/communication deficits, restricted/repetitive behaviors, and sensory abnormalities. An 18-item Emotion Dysregulation Index was developed on the basis of expert ratings of the Child Behavior Checklist. Compared to typically developing controls, children and adolescents with ASD showed more emotion dysregulation and had significantly greater symptom severity on all scales. Within ASD participants, emotion dysregulation was related to all core features of the disorder, but the strongest association was with repetitive behaviors. These findings may facilitate the development of more effective therapeutic strategies targeting emotion dysregulation in order to optimize longterm outcomes for individuals with ASD.

The goal of this study was to validate AFFDEX and FACET, two algorithms classifying emotions from facial expressions, in iMotions's software suite. In Study 1, pictures of standardized emotional facial expressions from three databases, the Warsaw Set of Emotional Facial Expression Pictures (WSEFEP), the Amsterdam Dynamic Facial Expression Set (ADFES), and the Radboud Faces Database (RaFD), were classified with both modules. Accuracy (Matching Scores) was computed to assess and compare the classification quality. Results show a large variance in accuracy across emotions and databases, with a performance advantage for FACET over AFFDEX. In Study 2, 110 participants' facial expressions were measured while being exposed to emotionally evocative pictures from the International Affective Picture System (IAPS), the Geneva Affective Picture Database (GAPED) and the Radboud Faces Database (RaFD). Accuracy again differed for distinct emotions, and FACET performed better. Overall, iMotions can achieve acceptable accuracy for standardized pictures of prototypical (vs. natural) facial expressions, but performs worse for more natural facial expressions. We discuss potential sources for limited validity and suggest research directions in the broader context of emotion research.

Research has shown that people diagnosed with autism tend to have difficulties with regulating their own emotions. This commentary article summarizes the main information from emotion regulation research conducted both in autism and in other populations. We make suggestions on how we can improve emotion regulation research in autism, with the ultimate goal being to use the learning gained from research to design effective interventions that can improve the wellbeing of people with autism.

Humour is often seen as an adaptive coping strategy; however, the empirical literature is inconclusive. One possible explanation is that different types of humour have different adaptive consequences. In the present research, we predicted that positive (good-natured) humour would be more effective at regulating negative emotions than negative (mean-spirited) humour. In Study 1, participants were shown negative pictures two times. First, they simply viewed the pictures and rated their levels of positive and negative emotions. Second, they were instructed to: (a) view; (b) use positive humour; or (c) use negative humour, and then rate their reactions. Compared to negative humour, positive humour was more successful at down-regulating negative and up-regulating positive emotion. In Study 2, we replicated these findings and showed that these effects cannot be explained by differences in difficulty between the two humour conditions, participants' expectations, or social desirability. Taken together, these findings suggest that positive (but not negative) humour may be an effective form of emotion regulation.

Although recent fMRI studies on humor have begun to elucidate cognitive and affective neural correlates, they weren't able to distinguish between different logical mechanisms or steps of humor processing, i.e., the detection of an incongruity and its resolution. This fMRI study aimed to focus in more detail on cognitive humor processing. In order to investigate pure incongruity resolution without preprocessing steps, nonverbal cartoons differing in their logical mechanisms were contrasted with nonhumorous pictures containing an irresolvable incongruity. The logical mechanisms were: (1) visual puns (visual resemblance, PUNs); (2) semantic cartoons (pure semantic relationships, SEMs); and (3) Theory of Mind cartoons (which require additionally mentalizing abilities, TOMs). Thirty cartoons from each condition were presented to 17 healthy subjects while acquiring fMR images. The results reveal a left-sided network involved in pure incongruity resolution: e.g., temporo-parietal junction, inferior frontal gyrus and ventromedian prefrontal cortex. These areas are also involved in processing of SEMs, whereas PUNs show more activation in the extrastriate cortex and TOMs show more activation in socalled mentalizing areas. Processing of pictures containing an irresolvable incongruity evokes activation in the rostral cingulate zone, which might reflect error processing. We conclude that cognitive processing of different logical mechanisms depends on separate neural networks.

Emotion dysregulation is not a formal criterion for the diagnosis of autism spectrum disorder (ASD). However, parents and clinicians have long noted the importance of emotional problems in individuals with ASD (e.g. tantrums and "meltdowns"). In this study, 21 high-functioning children and adolescents with ASD and 22 age and gender groupmatched typically developing (TD) controls completed a Reactivity and Regulation Situation Task. This task assesses emotional reactivity and spontaneous use of emotion regulation strategies (problem solving, cognitive reappraisal, avoidance, distraction, venting, suppression, and relaxation) in the context of age-appropriate ambiguous and potentially threatening negative scenarios. After the concept of cognitive reappraisal was explained, the scenarios were presented again to participants, and they were prompted to use this strategy. Results indicated that individuals with ASD exhibited the same level of reactivity to negative stimuli as TD participants. Furthermore, youth with ASD had a different emotion regulation profile than TD individuals, characterized by a less frequent use of cognitive reappraisal and more frequent use of suppression. When prompted to use cognitive reappraisal, participants with ASD were less able to implement reappraisal, but benefitted from this strategy when they were able to generate a reappraisal. Findings from this study suggest that cognitive reappraisal strategies may be useful to children and adolescents with ASD. Therefore, the development of treatment programs that focus on enhancing the use of adaptive forms of emotion regulation might decrease emotional problems and optimize long-term outcomes in youth with ASD. Autism Res 2014, ••: ••-••.