Nora Skjerdingstad presents a recent study that the explores the constant feedback we encounter on social media platforms, and the impact that ‘likes’ can have on adults and young people.
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Holly Fraser discusses new findings on whether and how we can predict antidepressant response using artificial intelligence.
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Paris Lalousis reviews a recent study that looks into the differences in brain connectivity between males and females, which suggests a potential sex-based divergence in the neurobiological underpinnings of psychiatric disorders.
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Joe Pierre considers a systematic review and meta-analysis on the prevalence of neuroimaging abnormalities in first-episode psychosis and the clinical relevance for service users presenting with first-episode psychosis.
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Thalia Eley and Gerome Breen explore a new systematic meta-review of predictors of antidepressant treatment outcome in depression, which looks at clinical and demographic variables, but also biomarkers including both genetic and neuroimaging data.
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Samei Huda reviews a meta-analysis of multivariate pattern recognition studies, which aims to detect neuroimaging biomarkers for schizophrenia.
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This review of literature published in the last twelve months set out to chart progress made in understanding anatomical and functional features in autism spectrum disorder (ASD). The authors searched databases for research findings in the neuroimaging of autism using a variety of Medline search terms They found that techniques such as functional magnetic resonance [read the full story…]
