Behavior Therapy For Obsessive-compulsive Disorder Research Articles

Cognitive Behavioural Therapy for Obsessive-Compulsive Disorder Related to the Fear of Internet Use: A Case Study

Cognitive Behavioural Therapy for Obsessive-Compulsive Disorder Related to the Fear of Internet Use: A Case Study

Change in Defense Mechanisms During a Brief Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder.

Defense mechanisms (DMs) are strategies used by the individuals to protect the ego. Therefore, compulsive behaviors in obsessive-compulsive disorder (OCD) can be recognized as DMs. We analyzed how DMs changed in a brief cognitive behavioral therapy (CBT) for OCD. This was a quasi-experimental study with 92 OCD patients (aged 18-60 years). We used the Mini International Neuropsychiatric Interview to confirm OCD diagnosis, and we assessed the DMs with the Defense Style Questionnaire at three time points. Through a latent change score modeling, we found that the mature mechanism presented a constant change during the therapy. This mechanism increased in average 0.37 points at each measured moment of CBT, showing a linear trajectory. Neurotic and immature mechanisms showed no significant changes during therapy. The increased use of the mature mechanism can be an indicator of improvement in OCD treatment, showing that patients intensified their more adaptive responses to conflicts.

Resting-state functional connectivity of amygdala subregions predicts treatment outcome for cognitive behavioral therapy in obsessive-compulsive disorder at a 4-month follow-up

BackgroundCognitive behavioral therapy (CBT) is considered as the first-line treatment for obsessive-compulsive disorder (OCD). However, the underlying neural mechanisms through which CBT exerts its effects in OCD remain unclear. This study aims to investigate whether the improvement of clinical symptoms in OCD patients after CBT treatment is associated with changes in resting-state functional connectivity (FC) of the amygdala subregion, and whether these changes can be served as potential predictors of four-months treatment efficacy. MethodsWe collected resting-state functional magnetic resonance imaging (rs-fMRI) data from 57 OCD patients and 50 healthy subjects at baseline. In the patient group, rs-fMRI was also obtained after completion of an 8-week CBT treatment and 4 months post-treatment. A whole-brain rsFC analysis was conducted using the amygdala subregion as the seed point. We analyzed the FC patterns in relation to 4 months clinical outcomes to elucidate the long-term efficacy of CBT in OCD patients. ResultsTreatment responseat at pre-treatment was found to be associated with reduced rsFC between the left basolateral amygdala(BLA)and left superior temporal gyrus(STG) at baseline. Lower pre-treatment FC were negatively correlated with the severity of OCD symptoms as measured by the Yale-Brown Obsessive Compulsive Severity Scale (Y-BOCS). Moreover, the area under the receiver operating characteristic (ROC) curve for the FC between the left BLA and STG at the end of treatment was 73.0% and 70.4% for the effective-ineffective and remitted or unremitted groups, respectively. At the 4-month follow-up, the area under the ROC curve for the effective-ineffective and remitted or unremitted groups was 83.9% and 76.5%, respectively. ConclusionThese findings suggest that brain functional activity in patients with OCD can predict treatment response to CBT, and longitudinal changes in relevant brain functional activity following CBT treatment are associated with treatment response in OCD.

Long-term effectiveness and cost-effectiveness of guided internet-based cognitive behavioral therapy for obsessive-compulsive disorder: 24-month follow-up

This study investigated the long-term effectiveness and cost-effectiveness of guided internet-based cognitive behavioral therapy (ICBT) for obsessive-compulsive disorder (OCD). Twenty-five patients with OCD who had undergone guided ICBT in a randomized controlled trial or a single-arm trial were followed up for 6, 12, and 24 months. Missing data were imputed using the mice package in R, and a one-way analysis of variance with repeated measures was performed. The total Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score significantly decreased from baseline to all endpoints (p < 0.001). OCD remission (the total Y-BOCS score < 14) rates significantly increased from post-treatment (48 %) at the 12 months (80 %) and 24 months (76 %) follow-up (χ2 (1) = 7.11–11.08, p < 0.01) post guided ICBT. Regression analysis predicted the maintenance of remission at 12 and 24 months following post-treatment remission (z = 2.20, p = 0.03). An incremental cost-effectiveness ratio was calculated to assess the cost-effectiveness of guided ICBT. The incremental cost-effectiveness ratio was JPY 999,495, below the JPY 5 million threshold for willingness to pay in Japan. Our findings demonstrate the long-term effectiveness and cost-effectiveness of guided ICBT for OCD. Guided ICBT can mitigate the severity of OCD even after treatment.

Prospects for Disseminating Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder in Japan

Prospects for Disseminating Cognitive Behavioral Therapy for Obsessive-Compulsive Disorder in Japan

Predicting responses to cognitive behavioral therapy in obsessive-compulsive disorder based on multilevel indices of rs-fMRI

ObjectiveThis study aimed to identify neuroimaging predictors to predict the response of cognitive behavioral therapy (CBT) in patients with obsessive-compulsive disorder (OCD) based on indices of resting-state functional magnetic resonance imaging (rs-fMRI). MethodsFifty patients with OCD were enrolled and allocated to either high or low responder groups after CBT using a 50 % response rate as the delineator. The pre-treatment amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), and degree centrality (DC) in each cerebrum region, defined by automated anatomical labeling atlas, were extracted. Least absolute shrinkage and selection operator and logistic regression were used to select features and establish models. ResultsThe combination of multilevel rs-fMRI indices achieved the best performance, with a cross-validation area under the receiver operating characteristic curve (AUC) of 0.900. In this combined model, an increase of interquartile range (IQR) in fALFF of right inferior orbital frontal gyrus (IOFG), and ReHo of left hippocampus and superior occipital gyrus (SOG) corresponded to a 26.52 %, 38.67 % and 24.38 % increase in the possibility to be high responders of CBT, respectively. ALFF of left thalamus and ReHo of left putamen were negatively associated with the response to CBT, with a 14.30 % and 19.91 % decrease per IQR increase of the index value. ConclusionThe combination of ALFF, fALFF and ReHo achieved a better predictive performance than separate index. Pre-treatment ALFF of the left thalamus, fALFF of the right IOFG, ReHo of the left hippocampus, SOG and putamen can be used as predictors of CBT response.

Cognitive behavior therapy for obsessive-compulsive disorder in routine clinical care: A systematic review and meta-analysis

Cognitive behavioral therapy (CBT) has strong research support for obsessive-compulsive disorder (OCD). However, less is known about how CBT performs when delivered in routine clinical care. A systematic review and meta-analysis was conducted of CBT for OCD in adults treated in routine clinical care. Ovid MEDLINE, Embase OVID, and PsycINFO were systematically searched for studies published until July 2021. The effectiveness of CBT, methodological quality, and moderators of treatment outcome were examined, and benchmarked by meta-analytically comparing with efficacy studies for OCD. Twenty-nine studies (8 randomized controlled trials) were included, comprising 1669 participants. Very large within-group effect sizes (ES) were obtained for OCD-severity at post-treatment (2.12), and follow-up (2.30), on average 15 months post-treatment. Remission rates were 59.2% post-treatment and 57.0% at follow-up. Attrition rate was 15.2%. Risk of bias was considerable in the majority of studies. The benchmarking analysis showed that effectiveness studies had almost exactly the same ES as efficacy studies at post-treatment and somewhat higher at follow-up. Furthermore, effectiveness studies had significantly higher remission rates than efficacy studies, both at post- and follow-up assessment. CBT for OCD is an effective treatment when delivered in routine clinical care, with ES comparable to those found in efficacy studies. However, the evidence needs to be interpreted with caution because of the risk of bias in a high proportion of studies. Prospero registration idCRD42021228828.

Memory trace imbalance in reinforcement and punishment systems can reinforce implicit choices leading to obsessive-compulsive behavior.

We may view most of our daily activities as rational action selections; however, we sometimes reinforce maladaptive behaviors despite having explicit environmental knowledge. In this study, we model obsessive-compulsive disorder (OCD) symptoms as implicitly learned maladaptive behaviors. Simulations in the reinforcement learning framework show that agents implicitly learn to respond to intrusive thoughts when the memory trace signal for past actions decays differently for positive and negative prediction errors. Moreover, this model extends our understanding of therapeutic effects of behavioral therapy in OCD. Using empirical data, we confirm that patients with OCD show extremely imbalanced traces, which are normalized by serotonin enhancers. We find that healthy participants also vary in their obsessive-compulsive tendencies, consistent with the degree of imbalanced traces. These behavioral characteristics can be generalized to variations in the healthy population beyond the spectrum of clinical phenotypes.

Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder.

Although cognitive behavioral therapy (CBT) is effective for patients with obsessive-compulsive disorder (OCD), 40% of OCD patients show a poor response to CBT. This study aimed to identify the cortical structural factors that predict CBT outcomes in OCD patients. A total of 56 patients with OCD received baseline structural MRI (sMRI) scanning and 14 individual CBT sessions. The linear support vector regression (SVR) models were used to identify the predictive performance of sMRI indices, including gray matter volume, cortical thickness, sulcal depth, and gyrification value. The patients’ OC symptoms decreased significantly after CBT intervention (p < 0.001). We found the model with the comprehensive variables exhibited better performance than the models with single structural indices (MAE = 0.14, MSE = 0.03, R2 = 0.36), showing a significant correlation between the true value and the predicted value (r = 0.63, p < 0.001). The results indicated that a model integrating four cortical structural features can accurately predict the effectiveness of CBT for OCD. Future models incorporating other brain indicators, including brain functional indicators, EEG indicators, neurotransmitters, etc., which might be more accurate for predicting the effectiveness of CBT for OCD, are needed.

Therapeutic Alliance and Treatment Outcome in Cognitive Behavior Therapy for Obsessive-Compulsive Disorder.

ObjectiveTherapeutic alliance has consistently been found to predict treatment outcomes across various psychotherapies and patient diagnosis. However, the relationship between therapeutic alliance and outcome in Cognitive Behavioral Therapy (CBT) has shown mixed results. This study investigated the impact of different aspects of therapeutic alliance in CBT for Obsessive-Compulsive Disorder (OCD).MethodData from two previously completed randomized controlled trials of 208 patients with OCD and their therapists were analyzed. Therapeutic alliance was assessed at week 4 of treatment with the patient-rated and therapist-rated Working Alliance Inventory (WAI), which includes three subscales to measure alliance domains (Goal, Task and Bond). Higher WAI score reflects a better therapeutic relationship. OCD severity was rated by independent assessors at baseline and post-treatment using the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS). Linear regression analyses were used to examine the effects of the different aspects of therapeutic alliance on treatment outcome, adjusted for baseline symptom severity.ResultsA higher total WAI score as rated by therapists significantly predicted a lower post-treatment Y-BOCS. Further, higher scores on the Goal and Task subscales of the WAI were associated with lower post-treatment severity. However, these significant outcomes reflected only small effect sizes.ConclusionsIn the treatment of OCD, the strength of the therapeutic alliance contributes to outcomes, though to a limited extent. Effective OCD treatment involves the delivery of specific therapy interventions, in the context of a strong therapeutic alliance.

Guided internet-based cognitive behavioral therapy for obsessive-compulsive disorder: A multicenter randomized controlled trial in Japan

Few studies have compared the effectiveness of internet-based cognitive behavior therapy (ICBT) for obsessive-compulsive disorder (OCD) with treatment as usual (TAU). We investigated the effectiveness of guided ICBT for patients with OCD. This prospective, randomized, controlled, assessor-blinded, multicenter clinical trial was conducted at three facilities in Japan from January 2020 to March 2021. Thirty-one patients with OCD as the primary diagnosis participated in the trial and were randomly assigned to either the intervention group or the control group. The primary outcome was the Yale–Brown obsessive-compulsive scale score; the assessors were blinded. Results of the analysis of covariance among the groups were significantly different between the groups (p < 0.01, effect size Cohen's d = 1.05), indicating the superiority of guided ICBT. The results suggest that guided ICBT is more effective than TAU for treating OCD. RCT registrationUMIN Clinical Trials Registry (UMIN000039375).

On the automatic detection of enacted compulsive hand washing using commercially available wearable devices

BackgroundCompulsive hand washing is one of the most frequent compulsions and includes highly ritualized, repetitive hand motions. Developing an algorithm that can automatically detect compulsive washing with off-the-shelf wearable devices is a first step toward developing more sophisticated sensor-based assessments and micro-interventions that might ultimately supplement cognitive behavioral therapy for obsessive-compulsive disorder (OCD). ObjectiveThe main objective was to establish whether enacted compulsive hand washing can be distinguished from routine hand washing. This distinction will inform future research on the development of an algorithm that can automatically detect compulsive hand washing. MethodTwenty-one participants were trained individually to wash their hands according to 1 of 5 scripted hand-washing procedures that were based on descriptions of pathological compulsive washes and additionally to wash their hands as they usually would, while wearing a smartwatch. Washes were video recorded to obtain validation data. To generate a baseline model, we opted to extract well-known features only (mean and variance of each sensor axis). We tested four classification models: linear support vector machine (SVM), SVM with radial basis functions, random forest (RF), and naive Bayes (NB). Leave-one-subject-out cross-validation was applied to gather F1, specificity, and sensitivity scores. ResultsThe best-performing parameters were a classification window duration of 10 s, with a mean-variance feature set calculated from quaternions, rate of turn, and magnetic flux measurements. The detection performance varied with the particular enacted compulsive hand wash (F1 range: 0.65–0.87). Overall, enacted compulsive and routine hand washing could be distinguished with an F1 score of 79% (user independent), a sensitivity of 84%, and a specificity of 30%. ConclusionsOur analysis of the sensor data demonstrates that enacted compulsive hand washing could be distinguished from routine hand washing with acceptable sensitivity. However, specificity was low. This study is a starting point for a series of follow-ups, including the application in individuals diagnosed with OCD.

Effectiveness of internet-based cognitive behavioral therapy for obsessive-compulsive disorder: a systematic review and meta-analysis

Effectiveness of internet-based cognitive behavioral therapy for obsessive-compulsive disorder: a systematic review and meta-analysis

Low intensity technology-delivered cognitive behavioral therapy for obsessive-compulsive disorder: a meta-analysis

BackgroundCognitive behavioral therapy (CBT) is a well-established treatment for people suffering from obsessive-compulsive disorder (OCD) and technology-based CBT applications are an emerging treatment option for people with OCD. These applications involve treatment protocols with automated content delivery and relatively low clinical contact. Whilst such CBT applications are promising, however, further investigation is needed to establish the efficacy of this treatment approach for individuals with OCD. The aim of the present study was to review the efficacy of technology-delivered CBT with minimal clinician support for OCD using a meta-analytic approach.MethodsRandomized controlled trials (RCT) were identified through PsycINFO, Medline and Scopus resulting in 18 eligible studies (n = 1707). Control conditions comprised both passive (namely no treatment, other treatments and waitlist controls) and active. Measurement of OCD symptoms improvement was the outcome in each study.ResultsParticipants in the technology-delivered CBT group scored lower on Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) (g = − 0.59, 95% CI = [− 0.99, − 0.18], p = 0.01), Y-BOCS and Dimensional Obsessive-Compulsive Scale (DOCS) combined (g = − 0.55, 95% CI = [− 0.87, − 0.24], p = 0.003) and Obsessive-Compulsive-Inventory-Revised (OCI-R) (g = − 0.36, 95% CI = [− 0.62, − 0.09], p = 0.02) at post-treatment than passive control groups. There were no significant findings when compared to controls with other treatments.ConclusionsThis meta-analysis suggests that technology-delivered CBT with low personal contact intensity, relative to passive control groups, is an efficacious and promising treatment option for individuals with OCD. Further research is needed to allow for a comparison with control groups with other treatments.

Cognitive behavioral therapy in obsessive-compulsive disorder: A review

IntroductionObsessive-compulsive disorder (OCD) is characterized by the presence of obsessive thoughts and recurring compulsive acts. The prevalence is 1-3% in the general population. The treatment consists of Cognitive Behavioral Therapy (CBT) alone, or in combination with antidepressants.ObjectivesProvide an overview of the elements of CBT in this disease and the techniques used.MethodsThe authors did a non-systematic review in Pubmed with the words: “Obsessive-Compulsive Disorder” and “Cognitive Behavioral Therapy”.ResultsAccording to the cognitive-behavioral model model, in this disease intrusive thoughts arise spontaneously, normally and universally, interrupting the normal flow of thought. They are usually neutral and form the basis for vulnerable people to develop obsessive problems. CBT uses techniques that aim to correct dysfunctional thoughts and beliefs, as well as behavioral techniques that aim to change compulsive behaviors. It aims to help people to come to the conclusion that the problem is not in the intrusive thoughts, but in the meaning they attribute to them, and in the various strategies they adopt to try to control them. It basically follows the following steps - patient assessment, through one or more semi-structured interviews; initial phase that includes the assessment of motivation for treatment and psychoeducation; intermediate phase, with the continuation of monitored exercises and reinforcement of cognitive and behavioral techniques; discharge, with discharge preparation working on relapse prevention and maintenance therapy.ConclusionsCurrently, CBT is considered the first-line therapy for the treatment of this disorder, however some patients are still refractory, and very little is known about its predictors of response.

Effectiveness of an online interpretation training as a pre-treatment for cognitive behavioral therapy for obsessive-compulsive disorder in youth: A randomized controlled trial

BackgroundCognitive behavioral therapy (CBT) is the treatment of choice for pediatric obsessive-compulsive disorder (OCD), but not all patients profit sufficiently. Long waitlists and wide variations in improvement rates ask for new interventions. We examined the effectiveness of a Cognitive Bias Modification–Interpretation (CBM-I) training that was offered during the waiting period for CBT. We tested 1) whether the CBM-I training is an effective intervention during a waitlist period for CBT, and 2) whether augmenting CBT with CBM-I improves treatment effect. MethodsParticipants (74 children with OCD, 8–18 years) were randomly assigned to either a CBM-I training or a waitlist, both followed by CBT. Resultsindicated that compared to the waitlist, the CBM-I training was effective in reducing OCD severity, with a medium effect size. Patients in the CBM-I training condition started subsequent CBT with less severe OCD, and this advantage was maintained during CBT. However, the CBM-I training did not result in a faster decline of symptoms during subsequent CBT. ConclusionThese findings indicate that CBM-I training could be an easy to implement, helpful intervention during a waitlist period. However, replications in larger samples and comparisons to active control conditions are needed.

Management of obsessive–compulsive disorder with virtual reality-based exposure

Little information is available about use of virtual reality exposure for management of obsessive compulsive disorder (OCD). We present a patient with OCD, who presented with significant dysfunction related to his OC symptoms and was managed with virtual reality based exposure therapy. A 27-year-old male, presented with a history suggestive of OCD for last 8 years. His symptoms were characterized by obsessive images of known people, leading to significant anxiety and distress. To get rid of his anxiety and distress, he would repeat the acts at hand, multiple times till these images would subside or till he would be able to replace these images by desirable images. These symptoms led to marked socio-occupational dysfunction. The treatment history was suggestive of minimal response to adequate trials of multiple selective serotonin reuptake inhibitors and he was on capsule fluoxetine 80 mg/day at the time of presentation. Exposure and Response therapy was tried in the past by using imaginal exposure, but this was unsuccessful, as the patient would avoid imagining the anxiety-provoking images. Hence, he was exposed to the anxiety provoking images by using virtual reality which involved presenting him with videos containing pictures of known and unknown people arranged randomly, along with the anxiety-provoking images. Over a period of 2 months, 60 sessions of ERP were carried out and the whole hierarchy was completed. This case demonstrates that virtual reality can be used in behaviour therapy for OCD, by using virtual reality techniques, and there is a need to develop software and programs for assessment and management of OCD.

Brain mechanisms and prediction of cognitive behavioral therapy in obsessive-compulsive disorder and anxiety disorders

Brain mechanisms and prediction of cognitive behavioral therapy in obsessive-compulsive disorder and anxiety disorders

Predictors of response to exposure and response prevention-based cognitive behavioral therapy for obsessive-compulsive disorder

BackgroundCognitive behavioral therapy (CBT), which includes exposure and response prevention (ERP), is effective in improving symptoms of obsessive-compulsive disorder (OCD). However, whether poor cognitive functions and autism spectrum disorder (ASD) traits affect the therapeutic response of patients with OCD to ERP-based CBT remains unclear. This study aimed to identify factors predictive of the therapeutic response of Japanese patients with OCD to ERP-based CBT.MethodsForty-two Japanese outpatients with OCD were assessed using the Wechsler Adult Intelligence Scale-III (WAIS-III), Yale-Brown Obsessive-Compulsive Scale, Patient Health Questionnaire 9-item scale, and Autism Spectrum Quotient (AQ) at pre- and post-treatment. We used multiple regression analyses to estimate the effect on therapeutic response change. The treatment response change was set as a dependent variable in multiple regression analyses.ResultsMultiple regression analyses showed that among independent variables, communication as an AQ sub-scale and Letter Number Sequencing as a WAIS-III sub-test predict the therapeutic response to ERP-based CBT .ConclusionsOur results suggest that diminished working memory (Letter Number Sequencing), poor communication skill (AQ sub-scale) may undermine responsiveness to ERP-based CBT among patients with OCD.Trial registrationUMIN, UMIN00024087. Registered 20 September 2016 - Retrospectively registered (including retrospective data).

Guided Internet-Based Cognitive Behavioral Therapy in Japanese Patients With Obsessive-Compulsive Disorder: Protocol for a Randomized Controlled Trial.

BackgroundCognitive behavioral therapy for obsessive-compulsive disorder has been established, but access to this therapy in Japan is limited. Internet-based cognitive behavioral therapy may improve treatment accessibility and sufficiently improve obsessive-compulsive symptoms. There are few randomized controlled trials examining the effectiveness of internet-based cognitive behavioral therapy in patients with obsessive-compulsive disorder. We designed a randomized controlled trial protocol to assess the effectiveness of guided internet-based cognitive behavioral therapy in Japanese patients with obsessive-compulsive disorder.ObjectiveWe aimed to develop a protocol for a randomized controlled trial of internet-based cognitive behavioral therapy in Japanese patients with obsessive-compulsive disorder.MethodsThe randomized controlled trial will compare internet-based cognitive behavioral therapy treatment and usual care groups, each consisting of 15 participants (n=30) diagnosed with obsessive-compulsive disorder. We will evaluate the effectiveness of a 12-week intervention. The primary outcome of symptom severity will be measured using the Yale-Brown Obsessive-Compulsive Scale. Secondary outcomes will be assessed with the Obsessive-Compulsive Inventory, Beck Anxiety Inventory, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Working Alliance Inventory-Short Form, and the Euro Qol – 5 Dimension. All measures will be assessed at weeks 0 (baseline) and 12 (follow-up). In the statistical analysis comparing treatment effects, the least-squares means and their 95% CIs will be estimated by analysis of covariance with the change in total outcomes scores at week 12. All comparisons are planned, and all P values will be two-sided, with values <.05 considered statistically significant.ResultsThe study will be performed from January 2020 to March 2021, and results are expected to be available in mid-2021.ConclusionsThe trial will demonstrate whether internet-based cognitive behavioral therapy improves access and is more effective than more usual care for patients with obsessive-compulsive disorder in Japan.Trial RegistrationUniversity Hospital Medical Information Network (UMIN) 000039375; https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000044422International Registered Report Identifier (IRRID)DERR1-10.2196/18216