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Background: Self‐injurious behaviours (SIB) are concerning, maladaptive behaviours that commonly occur in people with neurodevelopmental conditions and delays but seem to be particularly prevalent in children and adults with autism spectrum disorder (ASD). There has been increasing research examining the risk markers associated with the presence of SIB in people with ASD. Some of the factors associated with SIB have included cognitive abilities, adaptive functioning deficits and behaviour regulation impairments (e.g. impulsivity and repetitive behaviours). However, many of the findings in the literature are mixed and only explain a small proportion of the variance contributing to SIB. Limitations in the previous literature have centred on lack of availability of large and diverse samples, restricted age ranges and constraints of measurement. Method: This study characterises a clinic‐referred sample of children and adults currently presenting with and without SIB using a range of standardised and parent‐report measures. The sample includes 144 individuals with ASD between the ages of 2.5 and 60.1 years. Results: After adjusting for multiple tests, none of the variables maintained statistical significance between the group of individuals with and without SIB, but medium to large effect sizes were noted. These variables include parent‐reported early motor and toileting delays and perinatal risk, and current cognitive and social impairment. The remaining variables, including current autism severity levels, early ASD symptomatology, impulsivity, executive functioning impairments, adaptive functioning, mood and anxiety, did not differ between those with and without current engagement in SIB. Conclusions: Utilising a diverse clinic‐referred sample and standardised diagnostic tools, this study explored retrospective and current correlate risk markers of SIB in individuals with ASD. In addition to impairments in current functioning, specific early developmental delays and perinatal risk factors were preliminarily associated with the presence of SIB in individuals with ASD. Together these findings suggest that a set of specific characteristics may be related to both early risk and concurrent manifestation of SIB. Identifying this set of characteristics in early development may lead to faster identification and better intervention services, but future work utilising longitudinal design and multivariate analysis is warranted. [ABSTRACT FROM AUTHOR]

Background: The increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relative–control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS). We examined familial aggregation of cognitive impairment by investigating within-family prediction of MCCB scores based on probands’ scores. Methods: Multivariate analysis of variance was used to analyze group differences in adjusted MCCB scores. Weighted least-squares analysis was used to investigate whether probands’ MCCB scores predicted REL neurocognitive performance. Results: SCZ were significantly impaired on all MCCB domains. REL had intermediate scores between SCZ and HCS, showing a similar pattern of impairment, except for social cognition. Proband's scores significantly predicted REL MCCB scores on all domains except for visual learning. Conclusions: In a large sample of stable patients with schizophrenia, living in the community, and in their unaffected relatives, MCCB demonstrated sensitivity to cognitive deficits in both groups. Our findings of significant within-family prediction of MCCB scores might reflect disease-related genetic or environmental factors. [ABSTRACT FROM AUTHOR]

Background. Measures of social cognition are increasingly being applied to psychopathology, including studies of schizophrenia and other psychotic disorders. Tests of social cognition present unique challenges for international adaptations. The Mayer-Salovey-Caruso Emotional Intelligence Test, Managing Emotions Branch (MSCEIT-ME) is a commonly-used social cognition test that involves the evaluation of social scenarios presented in vignettes. Method. This paper presents evaluations of translations of this test in six different languages based on representative samples from the relevant countries. The goal was to identify items from the MSCEIT-ME that show different response patterns across countries using indices of discrepancy and content validity criteria. An international version of the MSCEIT-ME scoring was developed that excludes items that showed undesirable properties across countries. Results. We then confirmed that this new version had better performance (i.e. less discrepancy across regions) in international samples than the version based on the original norms. Additionally, it provides scores that are comparable to ratings based on local norms. Conclusions. This paper shows that it is possible to adapt complex social cognitive tasks so they can provide valid data across different cultural contexts. [ABSTRACT FROM AUTHOR]

BackgroundThe number of separable cognitive dimensions in schizophrenia has been debated. Guided by the extant factor analytic literature, the NIMH Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative selected seven cognitive domains relevant to treatment studies in schizophrenia: speed of processing, attention/vigilance, working memory, verbal learning, visual learning, reasoning and problem solving, and social cognition. These domains are assessed in the MATRICS Consensus Cognitive Battery (MCCB). The aim of this study was to conduct a confirmatory factor analysis (CFA) of the beta battery of the MCCB to compare the fit of the MATRICS consensus seven-domain model to other models in the current literature on cognition in schizophrenia.MethodUsing data from 281 schizophrenia outpatients, we compared the seven correlated factors model with alternative models. Specifically, we compared the 7-factor model to (a) a single-factor model, (b) a three correlated factors model including speed of processing, working memory, and general cognition, and (c) a hierarchical model in which seven first-order factors loaded onto a second-order general cognitive factor.ResultsMultiple fit indices indicated the seven correlated factors model was the best fit for the data and provided significant improvement in model fit beyond the comparison models.ConclusionsThese results support the assessment of these seven cognitive dimensions in clinical trials of interventions to improve cognition in schizophrenia. Because these cognitive factors are separable to some degree, it is plausible that specific interventions may have differential effects on the domains. [ABSTRACT FROM AUTHOR]

BackgroundThe number of separable cognitive dimensions in schizophrenia has been debated. Guided by the extant factor analytic literature, the NIMH Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative selected seven cognitive domains relevant to treatment studies in schizophrenia: speed of processing, attention/vigilance, working memory, verbal learning, visual learning, reasoning and problem solving, and social cognition. These domains are assessed in the MATRICS Consensus Cognitive Battery (MCCB). The aim of this study was to conduct a confirmatory factor analysis (CFA) of the beta battery of the MCCB to compare the fit of the MATRICS consensus seven-domain model to other models in the current literature on cognition in schizophrenia.MethodUsing data from 281 schizophrenia outpatients, we compared the seven correlated factors model with alternative models. Specifically, we compared the 7-factor model to (a) a single-factor model, (b) a three correlated factors model including speed of processing, working memory, and general cognition, and (c) a hierarchical model in which seven first-order factors loaded onto a second-order general cognitive factor.ResultsMultiple fit indices indicated the seven correlated factors model was the best fit for the data and provided significant improvement in model fit beyond the comparison models.ConclusionsThese results support the assessment of these seven cognitive dimensions in clinical trials of interventions to improve cognition in schizophrenia. Because these cognitive factors are separable to some degree, it is plausible that specific interventions may have differential effects on the domains. [ABSTRACT FROM AUTHOR]

BackgroundNumerous studies have reported links between theory of mind (ToM) deficits, neurocognition and negative symptoms with functional outcome in chronic schizophrenia patients. Although the ToM deficit has been observed in first-episode patients, fewer studies have addressed ToM as a possible trait marker, neurocognitive and symptom correlations longitudinally, and associations with later functioning.MethodRecent-onset schizophrenia patients (n = 77) were assessed at baseline after reaching medication stabilization, and again at 6 months (n = 48). Healthy controls (n = 21) were screened, and demographically comparable with the patients. ToM was assessed with a Social Animations Task (SAT), in which the participants’ descriptions of scenes depicting abstract visual stimuli ‘interacting’ in three conditions (ToM, goal directed and random) were rated for degree of intentionality attributed to the figures and for appropriateness. Neurocognition, symptoms and role functioning were also assessed.ResultsOn the SAT, patients had lower scores than controls for both intentionality (p < 0.01) and appropriateness (p < 0.01) during the ToM condition, at baseline and 6 months. The ToM deficit was stable and present even in remitted patients. Analyses at baseline and 6 months indicated that for patients, ToM intentionality and appropriateness were significantly correlated with neurocognition, negative symptoms and role functioning. The relationship between ToM and role functioning was mediated by negative symptoms.ConclusionsThe ToM deficit was found in recent-onset schizophrenia patients and appears to be moderately trait-like. ToM is also moderately correlated with neurocognition, negative and positive symptoms, and role functioning. ToM appears to influence negative symptoms which in turn makes an impact on role functioning. [ABSTRACT FROM PUBLISHER]

We investigated the predictive power of morphological features in 224 autistic patients and 224 matched-pairs controls. To assess the relationship between the morphological features and autism, we used the receiver operator curves (ROC). In addition, we used recursive partitioning (RP) to determine a specific pattern of abnormalities that is characteristic for the difference between autistic children and typically developing controls. The present findings showed that morphological features are significantly increased in patients with autism. Using ROC and RP, some of the morphological measures also led to strong predictive accuracy. Facial asymmetry, multiple hair whorls and prominent forehead significantly differentiated patients with autism from controls. Future research on multivariable risk prediction models may benefit from the use of morphological features. [ABSTRACT FROM AUTHOR]

Objective: To compare the efficacy and tolerability of tranylcypromine vs. lamotrigine in bipolar depression not responding to conventional antidepressants. Method: Bipolar depressed patients received open randomized treatment with tranylcypromine or lamotrigine as add-on to a mood stabilizer during 10 weeks. In a second treatment phase, non-responding patients could receive the opposite drug. Outcome criteria were response (measured with CGI-BP and IDS-C), switch into mania, and completion of the study. Results: Only 20 of 70 planned patients were randomized, due to problems with recruitment, and 19 patients received any medication. During the first treatment phase 5/8 patients (62.5%) responded to tranylcypromine without switch into mania, compared with 4/11 patients (36.4%) on lamotrigine with two switches (statistically not significant). Over both treatment phases, 8/10 patients (80%) receiving tranylcypromine completed the study vs. 5/13 (38.5%) on lamotrigine (likelihood 0.02). Conclusion: There still appears to be a role for tranylcypromine in the treatment of refractory bipolar depression. Larger controlled studies are demanded. [ABSTRACT FROM AUTHOR]

A correction to the article "Latent structure of cognition in schizophrenia: a confirmatory factor analysis of the MATRICS Consensus Cognitive Battery (MCCB)" is presented.