670 research outputs found

    Brief report : the level and nature of autistic intelligence revisited

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    Owing to higher performance on the Raven’s Progressive Matrices (RPM) than on the Wechsler Intelligence Scales (WIS), it has recently been argued that intelligence is underestimated in autism. This study examined RPM and WIS IQs in 48 individuals with autism, a mixed clinical (n = 28) and a neurotypical (n = 25) control group. Average RPM IQ was higher than WIS IQ only in the autism group, albeit to a much lesser degree than previously reported and only for individuals with WIS IQs <85. Consequently, and given the importance of reliable multidimensional IQ estimates in autism, the WIS are recommended as first choice IQ measure in high functioning individuals. Additional testing with the RPM might be required in the lower end of the spectrum

    Communicating Mental Illness in the Black American Community

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    Human-human interactions are of central relevance for the success in professional and occupational environments, which also substantially influence quality of life. This is especially true in the case of individuals with high-functioning autism (HFA), who experience deficits in social cognition that often lead to social exclusion and unemployment. Despite good education and high motivation, individuals with HFA do not reach employment rates that are substantially higher than 50 %. This is an alarmingly high rate of unemployment considering that the United Nations have recently emphasized the inclusion of handicapped persons as a mandatory human right. To date, the specific needs of autistic persons with respect to their working environment are largely unexplored. It remains moreover an open question how support systems and activities, including newly developed communication devices for professional environments of individuals with HFA, should look like. The German health and social care systems are not adequately prepared for the proper support of this population. This leads us to suggest that supported employment programs should be developed for adults with HFA that specifically address their needs and requirements. Such programs should comprise (1) the adequate assessment of HFA, including a neuropsychological profile and an individual matching of persons' preferences with requirements of the working place, (2) on-the-job coaching activities that include systematic communication and interaction training, and (3) instruction of non-autistic peers, including colleagues and supervisors, about weaknesses and strengths of HFA

    Towards successful employment of adults with autism: A first analysis of special interests and factors deemed important for vocational performance

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    Background: Adults with autism spectrum disorders (ASDs) and with intelligence quotients in the normal range are disproportionately affected by unemployment.Objective: We sought to assess special interests that could bear potential for employment as well as factors deemed relevant for work performance in adults with ASD.Method: A newly compiled self-report online questionnaire was administered to high-functioning adults with ASD to assess special interests as well as factors that both interfere with and facilitate work performance.Results: Participants reported that they spent an average of 26 hours per week on their special interests, and their average level of proficiency was rated as very good. Although special interests were reported to be in the social sciences and the creative fields as often as they were in the natural sciences and technology/engineering, the most common approach taken within those fields was systemizing rather than a creative or knowledge-acquiring pursuit. Social interaction problems with coworkers and superiors as well as sensory issues were most often rated as interfering with work performance. In addition, mental underload was rated as an important factor that interfered with work performance, whereas excessive demands were not. Among the factors most often reported to facilitate work performance were employers’ and colleagues’ awareness of the individual’s ASD diagnosis.Conclusion: Our data suggest that special interests among individuals with ASD may bear important potential for employment. Given the focus on systemizing in this population, recent efforts to create job opportunities in the information technology sector specifically for high-functioning individuals with ASD are a promising start. However, these efforts should be expanded into other fields

    Toward the Successful Employment of Adults with Autism: A First Analysis of Special Interests and Factors Deemed Important for Vocational Performance

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    Adults with autism spectrum disorders (ASDs) and with intelligence quotients in the normal range are disproportionately affected by unemployment.We sought to assess special interests that could bear potential for employment as well as factors deemed relevant for work performance in adults with ASD.A newly compiled self-report online questionnaire was administered to high-functioning adults with ASD to assess special interests as well as factors that both interfere with and facilitate work performance.Participants reported that they spent an average of 26 hours per week on their special interests, and their average level of proficiency was rated as very good. Although special interests were reported to be in the social sciences and the creative fields as often as they were in the natural sciences and technology/engineering, the most common approach taken within those fields was systemizing rather than a creative or knowledge-acquiring pursuit. Social interaction problems with coworkers and superiors as well as sensory issues were most often rated as interfering with work performance. In addition, mental underload was rated as an important factor that interfered with work performance, whereas excessive demands were not. Among the factors most often reported to facilitate work performance were employers' and colleagues' awareness of the individual's ASD diagnosis.Our data suggest that special interests among individuals with ASD may bear important potential for employment. Given the focus on systemizing in this population, recent efforts to create job opportunities in the information technology sector specifically for high-functioning individuals with ASD are a promising start. However, these efforts should be expanded into other fields

    Gender effects on mindreading across the adult life span

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    Research recurrently shows that females perform better than males on various mindreading tasks. The present study contributes to this growing body of literature by being the first to demonstrate a female own-gender mindreading bias using a naturalistic social cognition paradigm including female and male targets. We found that women performed better at reading others´ minds, and that they were specifically more capable to read female targets, an own-gender target effect absent in men. Furthermore, a non-linear negative effect of perceiver age on mindreading performance was examined within a sample covering the age range of 17-70 years, as indicated by a stronger performance decrease setting on by the age of 30 years and continuing throughout middle and old age. These findings add to a more comprehensive understanding of the contextual factors influencing mindreading performance in typically developing adults

    Preschoolers’ Sensitivity to Negative and Positive Emotional Facial Expressions: An ERP Study

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    The study examined processing differences for facial expressions (happy, angry, or neutral) and their repetition with early (P1, N170) and late (P3) event-related potentials (ERPs) in young children (N = 33). EEG was recorded while children observed sequentially presented pairs of facial expressions, which were either the same (repeated trials) or differed in their emotion (novel trials). We also correlated ERP amplitude differences with parental and child measures of socio-emotional competence (emotion recognition, empathy). P1 amplitudes were increased for angry and happy as compared to neutral expressions. We also detected larger P3 amplitudes for angry expressions as compared to happy or neutral expressions. Repetition effects were evident at early and late processing stages marked by reduced P1 amplitudes for repeated vs. novel happy expressions, but enhanced P3 amplitudes for repeated vs. novel facial expressions. N170 amplitudes were neither modulated by facial expressions nor their repetition. None of the repetition effects were associated with measures of socio-emotional competence. Taken together, negative facial expressions led to increased neural activations in early and later processing stages, indicative of enhanced saliency to potential threating stimuli in young children. Processing of repeated facial expression seem to be differential for early and late neural stages: Reduced activation was detected at early neural processing stages particularly for happy faces, indicative of effective processing for an emotion, which is most familiar within this age range. Contrary to our hypothesis, enhanced activity for repeated vs. novel expression independent of a particular emotion were detected at later processing stages, which may be linked to the creation of new memory traces. Early and late repetition effects are discussed in light of developmental and perceptual differences as well as task-specific load.Peer Reviewe

    Interaction of HPA axis genetics and early life stress shapes emotion recognition in healthy adults

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    Background: Early life stress (ELS) affects facial emotion recognition (FER), as well as the underlying brain network. However, there is considerable inter-individual variability in these ELS-caused alterations. As the hypothalamic-pituitary-adrenal (HPA) axis is assumed to mediate neural and behavioural sequelae of ELS, the genetic disposition towards HPA axis reactivity might explain differential vulnerabilities. Methods: An additive genetic profile score (GPS) of HPA axis reactivity was built from 6 SNPs in 3 HPA axisrelated genes (FKBP5, CRHR1, NR3C1). We studied two independent samples. As a proof of concept, GPS was tested as a predictor of cortisol increase to a psychosocial challenge (MIST) in a healthy community sample of n=40. For the main study, a sample of n=170 completed a video-based FER task and retrospectively reported ELS experiences in the Childhood Trauma Questionnaire (CTQ). Results: GPS positively predicted cortisol increase in the stress challenge over and above covariates. CTQ and genetic profile scores interacted to predict facial emotion recognition, such that ELS had a detrimental effect on emotion processing only in individuals with higher GPS. Post-hoc moderation analyses revealed that, while a less stress-responsive genetic profile was protective against ELS effects, individuals carrying a moderate to high GPS were affected by ELS in their ability to infer emotion from facial expressions. Discussion: These results suggest that a biologically informed genetic profile score can capture the genetic disposition to HPA axis reactivity and moderates the influence of early environmental factors on facial emotion recognition. Further research should investigate the neural mechanisms underlying this moderation. The GPS used here might prove a powerful tool for studying inter-individual differences in vulnerability to early life stress

    a meta-analysis of correlations

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    A number of prominent theories have linked tendencies to mimick others' facial movements to empathy and facial emotion recognition, but evidence for such links is uneven. We conducted a meta-analysis of correlations of facial mimicry with empathy and facial emotion recognition skills. Other factors were also examined for moderating influence, e.g. facets of empathy measured, facial muscles recorded, and facial emotions being mimicked. Summary effects were estimated with a random-effects model and a meta-regression analysis was used to identify factors moderating these effects. 162 effects from 28 studies were submitted. The summary effect size indicated a significant weak positive relationship between facial mimicry and empathy, but not facial emotion recognition. The moderator analysis revealed that stronger correlations between facial mimicry and empathy were observed for static vs. dynamic facial stimuli, and for implicit vs. explicit instances of facial emotion processing. No differences were seen between facial emotions, facial muscles, emotional and cognitive facets of empathy, or state and trait measures of empathy. The results support the claim that stronger facial mimicry responses are positively related to higher dispositions for empathy, but the weakness and variability of this effect suggest that this relationship is conditional on not-fully understood factors

    Ethnic discrimination unlearned: experience in the repeated Trust Game reduces trust bias

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    Introduction Discrimination toward ethnic minorities is a persistent societal problem. One reason behind this is a bias in trust: people tend to trust their ingroup and comparatively distrust outgroups. Methods In this study, we investigated whether and how people change their explicit trust bias with respect to ethnicity based on behavioral interactions with in- and outgroup members in a modified Trust Game. Results Subjects’ initial explicit trust bias disappeared after the game. The change was largest for ingroup members who behaved unfairly, and the reduction of trust bias generalized to a small sample of new in- and outgroup members. Reinforcement learning models showed subjects’ learning was best explained by a model with only one learning rate, indicating that subjects learned from trial outcomes and partner types equally during investment. Discussion We conclude that subjects can reduce bias through simple learning, in particular by learning that ingroup members can behave unfairly.Peer Reviewe

    SLRefactor: Ein Refactoring-Ansatz fĂźr Simulink-Modelle

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    Bei der Funktionsmodellierung ist die Veränderung und Erweiterung der Struktur eines Modells eine häufig durchgefßhrte Aktivität. Während es bereits Refactoring-Ansätze fßr textuelle Programmiersprachen wie Java, C# usw. gibt, fehlt ein vergleichbarer, integraler und durchgehender Ansatz fßr Simulink-Modelle. Wir haben einen automatisierten Refactoring-Ansatz (im Folgenden SLRefactor-Ansatz genannt) fßr Simulink-Modelle erfolgreich entwickelt, der in einem Zeitraum von ca. zwei Jahren in der Serienentwicklung bei der Daimler AG erprobt und eingesetzt wurde. In diesem Beitrag wird der SLRefactor-Ansatz anhand eines ausfßhrlichen Beispiels erläutert und es wird ßber die Erfahrungen beim produktiven Einsatz des Ansatzes und ßber die dabei gewonnenen Erkenntnisse berichtet
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