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- Carlbring, Per, et al.
(författare)
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In session virtual reality use for public speaking anxiety : A randomized controlled trial
- 2017
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Konferensbidrag (refereegranskat)abstract
- Fear of public speaking is common and for some individuals this interferes significantly with the person's life and causes marked distress. We wanted to test a newly developed virtual reality assisted 1-session in-person treatment (3 hours). The therapist guided session consisted of a series of behavioral experiments based on the expectancy violation principle. This was followed by a 4-week booster intervention delivered via the internet. Following a diagnostic interview a total of 50 individuals with a score of ≥ 60 on the Personal Report of Public Speaking Anxiety questionnaire were randomized to a treatment or a control condition. A total of 78% also met criteria for social anxiety disorder. Considering only having had one treatment session in-person the preliminary results were promising with a between group effect size on the primary outcome (Public Speaking Anxiety Scale) of Cohen’s d=1.32 before commencing the internet-based booster program. Four weeks later the between-group effect size was d=1.90. However, on the secondary outcome measures the effect sizes were more often moderate than large. At the time of the conference 6-month follow-up data will be available in addition to the already collected post-assessment data (analyzed according to the intention-to-treat principle).
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| 2. |
- Carlbring, Per, et al.
(författare)
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The efficacy of internet-based virtual reality exposure therapy for public speaking anxiety : A randomized controlled trial
- 2017
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Fear of public speaking is common and for some individuals this interferes significantly with the person's life and causes marked distress. We wanted to test a newly developed virtual reality assisted 1-session in-person treatment (3 hours). The therapist guided session consisted of a series of behavioral experiments based on the expectancy violation principle. This was followed by a 4-week booster intervention delivered via the internet. Following a diagnostic interview a total of 50 individuals with a score of ≥ 60 on the Personal Report of Public Speaking Anxiety questionnaire were randomized to a treatment or a control condition. A total of 78% also met criteria for social anxiety disorder. Considering only having had one treatment session in-person the preliminary results were promising with a between group effect size on the primary outcome (Public Speaking Anxiety Scale) of Cohen’s d=1.32 before commencing the internet-based booster program. Four weeks later the between-group effect size was d=1.90. However, on the secondary outcome measures the effect sizes were more often moderate than large. At the time of the conference 6-month follow-up data will be available in addition to the already collected post-assessment data (analyzed according to the intention-to-treat principle).
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| 5. |
- Månsson, Kristoffer, et al.
(författare)
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Predicting Long-Term Outcome of Cognitive Behaviour Therapy for Social Anxiety Disorder Using fMRI and Support Vector Machiness
- 2014
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Ingår i: Abstracts from the 44th Congress of the European Association for Behavioural & Cognitive Therapies.
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Konferensbidrag (refereegranskat)abstract
- Background: Cognitive behavioural therapy (CBT) has yielded robust treatment effects for social anxiety disorder (SAD) but still many patients do not respond fully to treatment, and a substantial proportion relapse after treatment has ended. Identification of robust predictors of sustained treatment responses could be of high clinical importance.Methods: We used functional magnetic resonance imaging (fMRI; 3T General Electric) to assess 26 patients (85% women, mean age 32.3 years) with SAD. Blood-oxygen-level dependent (BOLD) responses to self-referential criticism, i.e. reading sentences such as "Nobody likes you" were compared to criticism referring to other individuals. Responses in the fear network, i.e. the amygdala, hippocampus, anterior cingulate cortex (ACC), and insula, were evaluated in a Support Vector Machine (SVM) approach to predict treatment outcome one-year after Internet-delivered CBT. We applied leave-one-out cross-validation to increase the generalizability of the data.Results: At one-year follow-up, three patients had dropped out. Twelve (52%) of the assessed patients met the response criteria, i.e. very much or much improved according to the Clinical Global Impression-Improvement scale (CGI-I). SVM on initial BOLD response, accurately classified patients according to responder status, based on multi-voxel patterns in the ACC (balanced accuracy of 91.7%, p=.001), and the ACC together with the amygdala (83.0%, p=.004) as well as the hippocampus (73.9%,p=.032).Conclusions: We demonstrate that initial multi-voxel BOLD response patterns to self-referential criticism in the ACC, amygdala, and hippocampus are highly predictive of long-term improvement of CBT in patients with SAD.
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