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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Prediction of treatment response in Social Anxiety Disorder, what does the brain tell us that questionnaires do not? : Using brain activity related to self- and other-referential criticism to predict treatment response to Internet- delivered Cognitive Behaviour Therapy for Social Anxiety Disorder

Isacsson, Nils, Kolbeinsson, Örn January 2016 (has links)
Predicting who will benefit from what in the treatment of psychiatric disorders is incremental to future development of psychological treatments. In the current study functional magnetic resonance imaging (fMRI) data from participants with social anxiety disorder (SAD) was used to elucidate whether neural responses to negative evaluation could predict treatment response in SAD. Nine weeks prior to Internet- delivered Cognitive Behaviour Therapy (ICBT) onset, participants viewed negative social stimuli directed either at themselves or an significant other during fMRI scanning. Regression analyses including the differential activations for other-referential criticism in contrast to self-referential criticism in the posterior mid cingulate cortex (pMCC) and the lingual gyrus (LG) predicted 34% of treatment change as measured by residual gain scores on the Liebowitz Social Anxiety Scale Self-Report (LSAS-SR) in our sample. The final regression model, combining these measures with behavioural measures, which by themselves explained 27% of the variance, resulted in a model explaining 50% of the variance regarding treatment response. This lends additional support to the notion that further elucidating the neurobiological underpinnings of core processes in SAD, as well as the neural correlates of treatment response to CBT, would be of great value in predicting treatment outcome.

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