Model results: internal validation
CORTEX
Three models with variables selected by the elastic net procedure were assessed for their ability to discriminate responders from non-responders (Model statistics for brain imaging only, brain and non-imaging measure models and non-imaging measures only modelAll models contained drug ID as an additional term.P value is expressed as the result of a one-tailed binomial test of model accuracy compared with the null information rate.*p<0.05AUC, area under the curve.The combination of brain and behaviour metrics produced the best classification performance (accuracy—0.83 (95% CI 0.75 to 0.90); sensitivity—0.88; specificity—0.77; p<0.001) and was well calibrated (Schematic representation of the best predictive model. Predictive brain imaging and non-imaging measures are shown linked to treatment response by weighted lines, indicating variable importance. ACC, anterior cingulate cortex; BMI, body mass index; D12, Dyspnoea-12; HR, heart rate; MRC, Medical Research Council; MFG, middle frontal gyrus; MSWT, Modified Shuttle Walk Test; SMG, supramarginal gyrus; SpO2, oxygen saturation.