Jonas Hagenberg discusses new insights into the possible use of proteomics (the large-scale study of proteins) for improving our prediction of depression remission.
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Murtada Alsaif considers a systematic review and meta-analysis published in the Lancet Psychiatry exploring the response of different subgroups of patients with schizophrenia to different antipsychotic drugs.
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Millie Lowther, Isabel Luetkenherm, Carlos Mena and Alexandra Pike summarise a recent fMRI meta-analysis, which finds that activation in brain circuits related to salience, interoception and emotional processing were found to predict a positive response to CBT in anxiety disorders.
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Ola Demkowicz writes her debut elf blog about a study that evaluates reliable improvement rates in depression and anxiety at the end of treatment in adolescents.
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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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Marcus Munafo looks at a Chinese genome-wide association study that claims to have identified some of the genes associated with response to antipsychotic treatment.
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Tracey Roberts summarises a recent diagnostic test review, which suggests that early improvement can act as a predictor of later response to antipsychotics in schizophrenia.
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Stephen Wood summarises a systematic review of biological markers for treatment response in first episode psychosis, which discusses a number of hot topics in this field including inflammation, infectious disease and oxidative stress.
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