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.[read the full story...]
Rise of the machine learning algorithm: the future of diagnosing schizophrenia?
Samei Huda reviews a meta-analysis of multivariate pattern recognition studies, which aims to detect neuroimaging biomarkers for schizophrenia.[read the full story...]
Advances in neuroimaging provide insights into anotomical features of the brain in people with autism
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…]