| 1. |
- Bas-Hoogendam, Janna Marie, et al.
(författare)
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Voxel-based morphometry multi-center mega-analysis of brain structure in social anxiety disorder
- 2017
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Ingår i: NeuroImage. - : Elsevier BV. - 2213-1582. ; 16, s. 678-688
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Tidskriftsartikel (refereegranskat)abstract
- Social anxiety disorder (SAD) is a prevalent and disabling mental disorder, associated with significant psychiatric co-morbidity. Previous research on structural brain alterations associated with SAD has yielded inconsistent results concerning the direction of the changes in gray matter (GM) in various brain regions, as well as on the relationship between brain structure and SAD-symptomatology. These heterogeneous findings are possibly due to limited sample sizes. Multi-site imaging offers new opportunities to investigate SAD-related alterations in brain structure in larger samples.An international multi-center mega-analysis on the largest database of SAD structural T1-weighted 3T MRI scans to date was performed to compare GM volume of SAD-patients (n = 174) and healthy control (HC)-participants (n = 213) using voxel-based morphometry. A hypothesis-driven region of interest (ROI) approach was used, focusing on the basal ganglia, the amygdala-hippocampal complex, the prefrontal cortex, and the parietal cortex. SAD-patients had larger GM volume in the dorsal striatum when compared to HC-participants. This increase correlated positively with the severity of self-reported social anxiety symptoms. No SAD-related differences in GM volume were present in the other ROIs. Thereby, the results of this mega-analysis suggest a role for the dorsal striatum in SAD, but previously reported SAD-related changes in GM in the amygdala, hippocampus, precuneus, prefrontal cortex and parietal regions were not replicated. Our findings emphasize the importance of large sample imaging studies and the need for meta-analyses like those performed by the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium.
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| 2. |
- Ahorsu, Daniel Kwasi, et al.
(författare)
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Testing an app-based intervention to improve insomnia in patients with epilepsy : A randomized controlled trial
- 2020
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Ingår i: Epilepsy & Behavior. - : Elsevier BV. - 1525-5050 .- 1525-5069. ; 112
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Insomnia has adverse effects on people with epilepsy. We aimed to test a novel cognitive behavioral therapy for insomnia (CBT-I) app-based intervention on insomnia symptoms and social psychological factors in people with epilepsy and to examine the possible mechanisms among the factors.Methods: Participants were recruited from neurology clinics in Iran and comprised individuals diagnosed with epilepsy and having moderate to severe insomnia. A two-arm randomized controlled trial design was used, consisting of a treatment group (CBT-I; n = 160) and control group (patient education; n = 160). Primary outcomes were self-reported sleep quality, insomnia severity, and sleep hygiene behavior and objective sleep characteristics measured by actigraphy. Secondary outcomes were attitude, perceived behavioral control, intention, action planning, coping planning, behavioral automaticity, self-monitoring, anxiety, depression, and quality of life (QoL). All outcomes were measured at baseline, and at one, three, and six months postintervention, except objective sleep, which was assessed at baseline, and one and six months postintervention. Data were analyzed using linear mixed models.Results: Current findings showed that sleep quality, insomnia severity, sleep hygiene behavior, and sleep onset latency were significantly improved in the CBT-I group compared with the patient education group at all measurement points. Also, the CBT-I group had significantly improved anxiety, depression, and QoL compared with the patient education group. Mediation analyses showed that attitude, intention, coping planning, self-monitoring, and behavioral automaticity significantly mediated the effect of the intervention on sleep outcomes.Conclusion: Results support the use of the CBT-I app to improve sleep outcomes among people with epilepsy.
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| 3. |
- Andersson, Gerhard, et al.
(författare)
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Internet-Assisted Cognitive Behavioral Therapy
- 2017
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Ingår i: Psychiatric Clinics of North America. - : Elsevier BV. - 0193-953X .- 1558-3147. ; 40:4, s. 689-700
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Tidskriftsartikel (refereegranskat)abstract
- The Internet, including modern information technology, has had a dramatic impact on many areas of life, including health care and psychological treatment. In particular, cognitive–behavioral therapy (CBT) has been found to be a form of psychological treatment that has been possible to transfer to other modes of delivery than regular face-to-face and group formats. The Internet is not only useful for providing CBT, but has a significant role in providing information about CBT and conditions that are treated using CBT. In addition, modern information technology also has a major role in assessment procedures, such as online administration of self-report mea- sures. In this article, we focus mainly on Internet-supported treatments, although another emerging format is to use video conferencing systems and conduct real- time face-to-face CBT, CBT training, or supervision.
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| 4. |
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| 5. |
- Carlbring, Per, et al.
(författare)
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Internet-based behavioral activation and acceptance-based treatment for depression : a randomized controlled trial
- 2013
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Ingår i: Journal of Affective Disorders. - : Elsevier BV. - 0165-0327 .- 1573-2517. ; 148:2-3, s. 331-337
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundInternet-based cognitive behavior therapy for depression has been tested in several trials but there are no internet studies on behavioral activation (BA), and no studies on BA over the internet including components of acceptance and commitment therapy (ACT). The aim of this study was to develop and test the effects of internet-delivered BA combined with ACT against a waiting list control condition as a first test of the effects of treatment.MethodsSelection took place with a computerized screening interview and a subsequent semi-structured telephone interview. A total of 80 individuals from the general public were randomized to one of two conditions. The treatment lasted for 8 weeks after which both groups were assessed. We also included a 3 month follow-up. The treatment included interactive elements online and a CD-ROM for mindfulness and acceptance exercises. In addition, written support and feedback was given by a therapist every week.ResultsResults at posttreatment showed a large between group effect size on the Beck Depression inventory IId=0.98 (95%CI=0.51–1.44). In the treated group 25% (10/40) reached remission defined as a BDI score≤10 vs. 5% (2/40) in the control group. Results on secondary measures were smaller. While few dropped out from the study (N=2) at posttreatment, the average number of completed modules was M=5.1 out of the seven modules.LimitationsThe study only included a waiting-list comparison and it is not possible to determine which treatment components were the most effective.ConclusionsWe conclude that there is initial evidence that BA with components of ACT can be effective in reducing symptoms of depression.
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| 6. |
- Ebert, D. D., et al.
(författare)
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Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials
- 2016
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Ingår i: Psychological Medicine. - : Cambridge University Press. - 0033-2917 .- 1469-8978. ; 46:13, s. 2679-2693
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Forskningsöversikt (refereegranskat)abstract
- Almost nothing is known about the potential negative effects of Internet-based psychological treatments for depression. This study aims at investigating deterioration and its moderators within randomized trials on Internet-based guided self-help for adult depression, using an individual patient data meta-analyses (IPDMA) approach.Studies were identified through systematic searches (PubMed, PsycINFO, EMBASE, Cochrane Library). Deterioration in participants was defined as a significant symptom increase according to the reliable change index (i.e. 7.68 points in the CES-D; 7.63 points in the BDI). Two-step IPDMA procedures, with a random-effects model were used to pool data.A total of 18 studies (21 comparisons, 2079 participants) contributed data to the analysis. The risk for a reliable deterioration from baseline to post-treatment was significantly lower in the intervention v. control conditions (3.36 v. 7.60; relative risk 0.47, 95% confidence interval 0.29–0.75). Education moderated effects on deterioration, with patients with low education displaying a higher risk for deterioration than patients with higher education. Deterioration rates for patients with low education did not differ statistically significantly between intervention and control groups. The benefit–risk ratio for patients with low education indicated that 9.38 patients achieve a treatment response for each patient experiencing a symptom deterioration.Internet-based guided self-help is associated with a mean reduced risk for a symptom deterioration compared to controls. Treatment and symptom progress of patients with low education should be closely monitored, as some patients might face an increased risk for symptom deterioration. Future studies should examine predictors of deterioration in patients with low education.
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| 7. |
- Karyotaki, Eirini, et al.
(författare)
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Internet-Based Cognitive Behavioral Therapy for Depression : A Systematic Review and Individual Patient Data Network Meta-analysis
- 2021
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Ingår i: JAMA psychiatry. - : American Medical Association. - 2168-6238 .- 2168-622X. ; 78:4, s. 361-371
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Forskningsöversikt (refereegranskat)abstract
- IMPORTANCE: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them.OBJECTIVE: To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information.DATA SOURCES: We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019.STUDY SELECTION: Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization.DATA EXTRACTION AND SYNTHESIS: We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression.MAIN OUTCOMES AND MEASURES: Patient Health Questionnaire-9 (PHQ-9) scores.RESULTS: Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9.CONCLUSIONS AND RELEVANCE: In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.
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| 8. |
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| 9. |
- Månsson, Kristoffer N.T., et al.
(författare)
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Multi-voxel Patterns in Fear Network Regions Predict Clinical Outcome One-year after Cognitive Behavior Therapy for Social Anxiety Disorder : A Support Vector Machine fMRI Study
- 2014
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Ingår i: Biological Psychiatry. - : Elsevier. ; , s. 83S-84S
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Konferensbidrag (refereegranskat)abstract
- Background: Cognitive behavioral 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, Figure 1), 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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| 10. |
- Månsson, Kristoffer N.T., et al.
(författare)
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Structural but not functional neuroplasticity one year after effective cognitive behaviour therapy for social anxiety disorder
- 2017
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Ingår i: Behavioural Brain Research. - : Elsevier BV. - 0166-4328 .- 1872-7549. ; 318, s. 45-51
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Tidskriftsartikel (refereegranskat)abstract
- Effective psychiatric treatments ameliorate excessive anxiety and induce neuroplasticity immediately after the intervention, indicating that emotional components in the human brain are rapidly adapTable Still, the interplay between structural and functional neuroplasticity is poorly understood, and studies of treatment-induced long-term neuroplasticity are rare. Functional and structural magnetic resonance imaging (using 3 T MRI) was performed in 13 subjects with social anxiety disorder on 3 occasions over 1 year. All subjects underwent 9 weeks of Internet-delivered cognitive behaviour therapy in a randomized cross-over design and independent assessors used the Clinically Global Impression-Improvement (CGI-I) scale to determine treatment response. Gray matter (GM) volume, assessed with voxel-based morphometry, and functional blood-oxygen level-dependent (BOLD) responsivity to self-referential criticism were compared between treatment responders and non-responders using 2 × 2 (group × time; pretreatment to follow-up) ANOVA. At 1-year follow-up, 7 (54%) subjects were classified as CGI-I responders. Left amygdala GM volume was more reduced in responders relative to non-responders from pretreatment to 1-year follow-up (Z = 3.67, Family-Wise Error corrected p = 0.02). In contrast to previous short-term effects, altered BOLD activations to self-referential criticism did not separate responder groups at follow-up. The structure and function of the amygdala changes immediately after effective psychological treatment of social anxiety disorder, but only reduced amygdala GM volume, and not functional activity, is associated with a clinical response 1 year after CBT.
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