5 research outputs found

    Communication tools in the COVID-19 era and beyond which can optimise professional practice and patient care

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    Following the outbreak of the novel SARS-CoV-2 (COVID-19), the World Health Organization made a number of recommendations regarding the utilisation of healthcare services. In general, there has been a reduction in elective healthcare services including outpatient clinics, diagnostic services and elective surgery. Inevitably these reductions for all but the most urgent clinical work will have a detrimental impact on patients, and alternative ways of working including the use of telemedicine may help to mitigate this. Similarly, electronic solutions may enable clinicians to maintain inter and intra-professional working in both clinical and academic settings. Implementation of electronic solutions to minimise direct patient contact will be new to many clinicians, and the sheer number of software solutions available and varying functionality may be overwhelming to anyone unfamiliar with ‘virtual communication’. In this article, we will aim to summarise the variety of electronic communication platforms and tools available for clinicians and patients, detailing their utility, pros and cons, and some 'tips and tricks' from our experience through our work as an international research collaborative

    Data from: Structural alterations of the social brain: a comparison between schizophrenia and autism

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    Autism spectrum disorder and schizophrenia share a substantial number of etiologic and phenotypic characteristics. Still, no direct comparison of both disorders has been performed to identify differences and commonalities in brain structure. In this voxel based morphometry study, 34 patients with autism spectrum disorder, 21 patients with schizophrenia and 26 typically developed control subjects were included to identify global and regional brain volume alterations. No global gray matter or white matter differences were found between groups. In regional data, patients with autism spectrum disorder compared to typically developed control subjects showed smaller gray matter volume in the amygdala, insula, and anterior medial prefrontal cortex. Compared to patients with schizophrenia, patients with autism spectrum disorder displayed smaller gray matter volume in the left insula. Disorder specific positive correlations were found between mentalizing ability and left amygdala volume in autism spectrum disorder, and hallucinatory behavior and insula volume in schizophrenia. Results suggest the involvement of social brain areas in both disorders. Further studies are needed to replicate these findings and to quantify the amount of distinct and overlapping neural correlates in autism spectrum disorder and schizophrenia
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