Active Psychology & Behaviour Mental Health

Discovering therapeutic mechanisms and predicting psychological treatment outcome: towards stratified interventions for anxiety

In plain English

AI plain-English summary

Only 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.

View original technical description
Anxiety rates are alarmingly high and increasing. Response to psychological treatment is variable, only 50% recover. Stratified interventions offer promise of improved outcomes, but rely on accurate screening tools. We will create new resources to understand how and for whom psychological treatments work, by examining mechanisms and prediction. First, in a major new study, we will assess cognitive processes in ~3,500 previously-genotyped anxious participants before they undergo Interpretation Training. This psychological intervention addresses interpretation bias, the interpretation of ambiguous information as threatening, a key target of Cognitive Behavioural Therapy (CBT). Second, we will link NHS Talking Therapies data for patients from five pre-existing genetic cohorts. Our third and fourth aims identify how psychological treatments work. We will identify genetic factors associated with cognitive processes targeted by, and outcomes following Interpretation Training, then test whether cognitive processes mediate genetic influences on outcome. Fifth, to identify for whom psychological treatments work, we will develop a prediction model combining genetic and cognitive process measures with traditional predictors. In parallel, we will identify genetic predictors of CBT outcome, and translate our model to real-world treatment data. Our sixth aim is to collaborate with stakeholders beyond academia to maximise the likely impact of our findings.

View the original record at the funder ↗

Researchers

Colette Hirsch (EPMC Awardee)Ewan Carr (EPMC Awardee)Gerome Breen (EPMC Awardee)Thalia Eley (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Exploring social factors in the psychological treatment of anxiety and mood disorders
MICA: The Translational, Computational and Neurocognitive Basis of Anxiety
Molecular Genetic Studies of Schizophrenia: Understanding Treatment Resistance and Outcomes to Inform Precision Psychiatry.
A multi-site study of the genetics of child anxiety and predictors of treatment response
Translating gene-environment interaction from aetiology to personalised medicine for anxiety and depression.

Original classification

Discovery Award

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.