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The proposed introduction of gaming disorder (GD) in the 11th revision of the International Classification of Diseases (ICD-11) developed by the World Health Organization (WHO) has led to a lively debate over the past year. Besides the broad support for the decision in the academic press, a recent publication by van Rooij et al. (2018) repeated the criticism raised against the inclusion of GD in ICD-11 by Aarseth et al. (2017). We argue that this group of researchers fails to recognize the clinical and public health considerations, which support the WHO perspective. It is important to recognize a range of biases that may influence this debate; in particular, the gaming industry may wish to diminish its responsibility by claiming that GD is not a public health problem, a position which maybe supported by arguments from scholars based in media psychology, computer games research, communication science, and related disciplines. However, just as with any other disease or disorder in the ICD-11, the decision whether or not to include GD is based on clinical evidence and public health needs. Therefore, we reiterate our conclusion that including GD reflects the essence of the ICD and will facilitate treatment and prevention for those who need it. CA extern

Why do we repeat choices that we know are bad for us? Decision making is characterized by the parallel engagement of two distinct systems, goal-directed and habitual, thought to arise from two computational learning mechanisms, model-based and model-free. The habitual system is a candidate source of pathological fixedness. Using a decision task that measures the contribution to learning of either mechanism, we show a bias towards model-free (habit) acquisition in disorders involving both natural (binge eating) and artificial (methamphetamine) rewards, and obsessive-compulsive disorder. This favoring of model-free learning may underlie the repetitive behaviors that ultimately dominate in these disorders. Further, we show that the habit formation bias is associated with lower gray matter volumes in caudate and medial orbitofrontal cortex. Our findings suggest that the dysfunction in a common neurocomputational mechanism may underlie diverse disorders involving compulsion.

Obsessive-compulsive and related disorders (O-CRDs) are highly disabling psychiatric illnesses of early-onset. They are responsible for considerable morbidity and socioeconomic burden. Existing treatments are usually only partially successful and there is an urgent need to understand the aetiological factors and neurobiological bases of the disorders in order to develop new and more effective strategies for prevention, early detection and effective treatment. Emerging data from the neurosciences supports the reconceptualisation of obsessive-compulsive disorder as a spectrum disorder, related to but different from the anxiety disorders and closely aligned with other less well understood psychiatric disorders characterised by compulsive acts such as body dysmorphic disorder, trichotillomania, skin-picking disorder, hoarding disorder; and possibly extending to tic disorders and other neurodevelopmental disorders such as autism. A new, O-CRDs research network, supported by the Networks Initiative of the European College of Neuropsychopharmacology and comprising leading figures in preclinical and clinical research, has been established. It aims to provide a European perspective on the current debate around internationally-accepted diagnostic criteria and treatment strategies for O-CRDs. Its objectives include; (1) identifying the key outstanding research questions that depend upon cross-centre collaborative investigation, (2) setting a research agenda that is likely to produce an impact on health-outcomes, and (3) strengthening existing projects and collaborative enterprises with these objectives in mind. This paper reviews some of these critical research priorities. By establishing shared multinational databases, collaborative research networks, multicentre studies and joint publications, it is hoped that progress will be achieved.

Obsessive-compulsive disorder (OCD) is characterized by obsessions (intrusive thoughts) and compulsions (repetitive ritualistic behaviours) leading to functional impairment. Accumulating evidence links these conditions with underlying dysregulation of fronto-striatal circuitry and monoamine systems. These abnormalities represent key targets for existing and novel treatment interventions. However, the brain bases of these conditions and treatment mechanisms are still not fully elucidated. Animal models simulating the behavioural and clinical manifestations of the disorder show great potential for augmenting our understanding of the pathophysiology and treatment of OCD. This paper provides an overview of what is known about OCD from several perspectives. We begin by describing the clinical features of OCD and the criteria used to assess the validity of animal models of symptomatology; namely, face validity (phenomenological similarity between inducing conditions and specific symptoms of the human phenomenon), predictive validity (similarity in response to treatment) and construct validity (similarity in underlying physiological or psychological mechanisms). We then survey animal models of OC spectrum conditions within this framework, focusing on (i) ethological models; (ii) genetic and pharmacological models; and (iii) neurobehavioural models. We also discuss their advantages and shortcomings in relation to their capacity to identify potentially efficacious new compounds. It is of interest that there has been rather little evidence of ‘false alarms’ for therapeutic drug effects in OCD models which actually fail in the clinic. While it is more difficult to model obsessive cognition than compulsive behaviour in experimental animals, it is feasible to infer cognitive inflexibility in certain animal paradigms. Finally, key future neurobiological and treatment research areas are highlighted.