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dc.contributor.authorBrowning, Michael
dc.contributor.authorGoodwin, Guy M
dc.contributor.authorHarmer, Catherine J
dc.date.accessioned2021-01-05T17:53:04Z
dc.date.available2021-01-05T17:53:04Z
dc.date.issued2019-01
dc.identifier.citationMichael Browning, Jonathan Kingslake, Colin T. Dourish, Guy M. Goodwin, Catherine J Harmer, Gerard R. Dawson. Predicting treatment response to antidepressant medication using early changes in emotional processing, European Neuropsychopharmacology, Volume 29, Issue 1, 2019, Pages 66-75,en
dc.identifier.issn0924-977X
dc.identifier.urihttps://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/699
dc.descriptionOpen Access - under a Creative Commons licenseen
dc.description.abstractAntidepressants must be taken for weeks before response can be assessed with many patients not responding to the first medication prescribed. This often results in long delays before effective treatment is started. Antidepressants induce changes in the processing of emotional stimuli early in the course of treatment. In the current study we assessed whether changes in emotional processing and subjective symptoms over the first week of antidepressant treatment predicted clinical response after 4–8 weeks of treatment. Such a predictive test may shorten the time taken to initiate effective treatment in depressed patients. Seventy-four depressed primary care patients completed measures of emotional bias and subjective symptoms before starting antidepressant treatment and then again 1 week later. Response to treatment was assessed after 4–6 weeks. The performance of classifiers based on these measures was assessed using a leave-one-out validation procedure with the best classifier then tested in an independent sample from a second study of 239 patients. The combination of a facial emotion recognition task and subjective symptoms predicted response with 77% accuracy in the training sample and 60% accuracy in the independent study, significantly better than possible using baseline response rates. The face based measure of emotional bias provided good quality data with high acceptability ratings. Changes in emotional processing can provide a sensitive early measure of antidepressant efficacy for individual patients. Early treatment induced changes in emotional processing may be used to guide antidepressant therapy and reduce the time taken for depressed patients to return to good mental health.en
dc.description.sponsorshipSupported by the NIHRen
dc.description.urihttps://doi.org/10.1016/j.euroneuro.2018.11.1102en
dc.language.isoenen
dc.subjectAntidepressant Drugsen
dc.subjectEmotionsen
dc.subjectDepressive Disordersen
dc.titlePredicting Treatment Response to Antidepressant Medication Using Early Changes in Emotional Processing.en
dc.typeArticleen


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