Discovering therapeutic mechanisms and predicting psychological treatment outcome: towards stratified interventions for anxiety
In plain English
AI plain-English summaryOnly half of people recover from anxiety after psychological therapy. This project aims to improve that number by identifying who will benefit from treatment and why. The problem is that current psychological treatments, like Cognitive Behavioural Therapy (CBT), work well for some people but not others. Therapists have no reliable way to predict who will recover and who will not. This research tackles that gap by examining the cognitive and genetic factors that influence treatment response. The researchers will study around 3,500 anxious participants who have already been genotyped. They will assess cognitive processes—specifically, the tendency to interpret ambiguous information as threatening—before and after a targeted psychological intervention called Interpretation Training. They will also link NHS Talking Therapies data from five genetic cohorts to real-world treatment outcomes. If successful, this work could lead to stratified interventions: a system where patients are matched to the therapy most likely to work for them based on genetic and cognitive markers. This would shift mental healthcare from a one-size-fits-all model toward precision medicine, improving recovery rates and reducing the time people spend in ineffective treatment. The researchers will also collaborate with stakeholders beyond academia to ensure their findings translate into clinical practice.
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