Line Gebauer

Optimizing DSM-IV-TR Classification Accuracy: A Brief Biosocial Screen for Detecting Current Gambling Disorders Among Gamblers in the General Household Population

Objective: To develop a pathological gambling (PG) screen for efficient application to the household population and for clinicians to use with treatment seekers. Method: We applied a series of multivariate discriminant functions to past-12-month Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR)-based, gambling-related problems; the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) measured and collected this data. The NESARC conducted computer-assisted personal interviews with 43 093 households and identified the largest sample of pathological gamblers drawn from the general household population. Results: We created a 3-item, brief biosocial gambling screen (BBGS) with high sensitivity (Sensitivity = 0.96; 76 of 79 pathological gamblers correctly identified) and high specificiy (Specificity = 0.99; 10 892 of 11 027 nonpathological gamblers correctly identified). Conclusions: Major US studies reveal extensive comorbidity of PG with other mental illnesses. The BBGS features psychometric advantages for health care providers that should encourage clinicians and epidemiologists to consider current PG along with other problems. The BBGS is practical for clinical application because it uses only 3 items and they are easy to ask, answer, and include in all modes of interviewing, including self-administered surveys. The BBGS has a strong theoretical foundation because it includes 1 item from each of the addiction syndrome 3 domains: neuroadaptation (for example, withdrawal); psychosocial characteristics (for example, lying); and adverse social consequences of gambling (for example, obtaining money from others).

Perceptual Inference and Autistic Traits.

Autistic people are better at perceiving details. Major theories explain this in terms of bottom-up sensory mechanisms or in terms of top-down cognitive biases. Recently, it has become possible to link these theories within a common framework. This framework assumes that perception is implicit neural inference, combining sensory evidence with prior perceptual knowledge. Within this framework, perceptual differences may occur because of enhanced precision in how sensory evidence is represented or because sensory evidence is weighted much higher than prior perceptual knowledge. In this preliminary study, we compared these models using groups with high and low autistic trait scores (Autism-Spectrum Quotient). We found evidence supporting the cognitive bias model and no evidence for the enhanced sensory precision model.

Gambling problem symptom patterns and stability across individual and timeframe.

Few studies investigate gambling problems at the symptom level; even fewer investigate how symptom patterns change throughout the course of a gambling disorder. The current study utilized the National Epidemiological Survey on Alcohol and Related Conditions (NESARC; Grant et al., 2004) to investigate how the specific symptoms of disordered gambling relate to its severity and course. Results demonstrated that symptom patterns and stability changed as the number of symptoms endorsed increased. Symptom patterns varied considerably from prior to past year (PPY) to past year (PY) timeframes. Certain symptoms were more stable than others and held predictive value as markers of emerging pathological gambling (PG). In particular, gambling to escape problems was one of the most stable symptoms and also predictive of progression to PG; reliance on others to support gambling was predictive of progression to PG among participants at-risk for PG. The differential diagnostic value of various reported symptoms, as well as their lack of stability, has implications for both researchers and clinicians.

Intact brain processing of musical emotions in autism spectrum disorder, but more cognitive load and arousal in happy vs. sad music

Music is a potent source for eliciting emotions, but not everybody experience emotions in the same way. Individuals with autism spectrum disorder (ASD) show difficulties with social and emotional cognition. Impairments in emotion recognition are widely studied in ASD, and have been associated with atypical brain activation in response to emotional expressions in faces and speech. Whether these impairments and atypical brain responses generalize to other domains, such as emotional processing of music, is less clear. Using functional magnetic resonance imaging, we investigated neural correlates of emotion recognition in music in high-functioning adults with ASD and neurotypical adults. Both groups engaged similar neural networks during processing of emotional music, and individuals with ASD rated emotional music comparable to the group of neurotypical individuals. However, in the ASD group, increased activity in response to happy compared to sad music was observed in dorsolateral prefrontal regions and in the rolandic operculum/insula, and we propose that this reflects increased cognitive processing and physiological arousal in response to emotional musical stimuli in this group.

Atypical perception of affective prosody in Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is characterized by impairments in language and social–emotional cognition. Yet, findings of emotion recognition from affective prosody in individuals with ASD are inconsistent. This study investigated emotion recognition and neural processing of affective prosody in high-functioning adults with ASD relative to neurotypical (NT) adults. Individuals with ASD showed mostly typical brain activation of the fronto-temporal and subcortical brain regions in response to affective prosody. Yet, the ASD group showed a trend towards increased activation of the right caudate during processing of affective prosody and rated the emotional intensity lower than NT individuals. This is likely associated with increased attentional task demands in this group, which might contribute to social–emotional impairments.

Brief Report: Suboptimal Auditory Localization in Autism Spectrum Disorder: Support for the Bayesian Account of Sensory Symptoms.

Convergent research suggests that people with ASD have difficulties localizing sounds in space. These difficulties have implications for communication, the development of social behavior, and quality of life. Recently, a theory has emerged which treats perceptual symptoms in ASD as the product of impairments in implicit Bayesian inference; as suboptimalities in the integration of sensory evidence with prior perceptual knowledge. We present the results of an experiment that applies this new theory to understanding difficulties in auditory localization, and we find that adults with ASD integrate prior information less optimally when making perceptual judgments about the spatial sources of sounds. We discuss these results in terms of their implications for formal models of symptoms in ASD.

Predictive coding links perception, action, and learning to emotions in music Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al.

The review by Koelsch and colleagues [1] offers a timely, comprehensive, and anatomically detailed framework for understanding the neural correlates of human emotions. The authors describe emotion in a framework of four affect systems, which are linked to effector systems, and higher order cognitive functions. This is elegantly demonstrated through the example of music; a realm for exploring emotions in a domain, that can be independent of language but still highly relevant for understanding human emotions [2]. Emotion is fundamental to human life, survival and well-being [3] and music is one of the strongest and most universal sources of human emotion and pleasure [4–10]. Music also highlights a particularly interesting aspect of human emotions: the dynamical interplay between perception, action and learning, and emotion. Here, the review is less explicit in describing the mechanism by which the interaction between these systems takes place. Novel models of brain function have emerged such as the predictive coding theories [11–17] proposed to be general theories of brain function [18], explaining how brain areas exchange information. Such models offer a novel perspective on how specialized brain networks can identify and categorize causes of sensory inputs, integrate information within other networks, and adapt to new stimuli. They propose that the quartet of perception, action, learning and emotion occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. Within this framework Perception can be described as the process of minimizing prediction errors between higher-level “prediction units” and lower-level “error units” in the hierarchically organized brain; Action is the active engagement of the motor system to resample the environment in order to reduce prediction error; Emotion acts as weight or modulator of the prediction error itself, guiding behavior, action and learning through neurotransmitters such as dopamine [19]; while Learning is the long-term influence on the prediction units [17,18].

Typical pain experience but underestimation of others’ pain: Emotion perception in self and others in autism spectrum disorder

Difficulties in emotion perception are commonly observed in autism spectrum disorder. However, it is unclear whether these difficulties can be attributed to a general problem of relating to emotional states, or whether they specifically concern the perception of others’ expressions. This study addressed this question in the context of pain, a sensory and emotional state with strong social relevance. We investigated pain evaluation in self and others in 16 male individuals with autism spectrum disorder and 16 age- and gender-matched individuals without autism spectrum disorder. Both groups had at least average intelligence and comparable levels of alexithymia and pain catastrophizing. We assessed pain reactivity by administering suprathreshold electrical pain stimulation at four intensity levels. Pain evaluation in others was investigated using dynamic facial expressions of shoulder patients experiencing pain at the same four intensity levels. Participants with autism spectrum disorder evaluated their own pain as being more intense than the pain of others, showing an underestimation bias for others’ pain at all intensity levels. Conversely, in the control group, self- and other evaluations of pain intensity were comparable and positively associated. Results indicate that emotion perception difficulties in autism spectrum disorder concern the evaluation of others’ emotional expressions, with no evidence for atypical experience of own emotional states.

Effects of single-dose intranasal oxytocin on recognition of basic emotions and complex mental states in facial expressions: A systematic review and meta-analysis

The Development and Feasablity of an Internet-Based Cognitive Behavioral Intervention to reduce Depression and/or Anxiety after a Myocardial Infarction - The U-CARE Heart study