Sarah L. Garnaat

Who Qualifies for Deep Brain Stimulation for OCD? Data From a Naturalistic Clinical Sample

A few patients with obsessive-compulsive disorder (OCD) remain severely impaired despite exhausting best-practice treatments. For them, neurosurgery (stereotactic ablation or deep brain stimulation) might be considered. The authors investigated the proportion of treatment-seeking OCD patients, in a naturalistic clinical sample, who met contemporary neurosurgery selection criteria. Using comprehensive baseline data on diagnosis, severity, and treatment history for adult patients from the NIMH-supported Brown Longitudinal OCD Study, only 2 of 325 patients met screening criteria for neurosurgery. This finding prompts consideration of new models for clinical trials with limited samples as well as methods of refining entry criteria for such invasive treatments.

Long-term course of pediatric obsessive-compulsive disorder: 3 years of prospective follow-up

OBJECTIVE This study assesses the long-term course of treatment-seeking youth with a primary diagnosis of DSM-IV OCD. METHOD Sixty youth and their parents completed intake interviews and annual follow-up interviews for 3 years using the youth version of the Longitudinal Interval Follow-up Evaluation (Y-LIFE) and Childrens Yale-Brown Obsessive Compulsive Scale (CY-BOCS). Remission was defined as no longer meeting DSM-IV criteria for OCD for 8 weeks or more, and recurrence was defined as meeting full criteria for OCD for 4 consecutive weeks after having achieved symptom remission. Remission rates for youth were compared to rates of adults participating in the same study. RESULTS The probability of achieving partial remission of OCD was 0.53 and the probability of achieving full remission was 0.27. Among the 24 youth participants who achieved remission, 79% stayed in remission throughout the study (mean of 88 weeks of follow-up) and 21% experienced a recurrence of symptoms. Better functioning at intake and a shorter latency to initial OCD treatment were associated with faster onset of remission (P<.001). CONCLUSIONS Remission is more likely among youth versus adults with OCD. Treatment early in the course of illness and before substantial impact on functioning predicted a better course.

Can Transcranial Direct Current Stimulation Augment Extinction of Conditioned Fear

BACKGROUND Exposure-based therapy parallels extinction learning of conditioned fear. Prior research points to the ventromedial prefrontal cortex as a potential site for the consolidation of extinction learning and subsequent retention of extinction memory. OBJECTIVE/HYPOTHESIS The present study aimed to evaluate whether the application of non-invasive transcranial direct current stimulation (tDCS) during extinction learning enhances late extinction and early recall in human participants. METHODS Forty-four healthy volunteers completed a 2-day Pavlovian fear conditioning, extinction, and recall paradigm while skin conductance activity was continuously measured. Twenty-six participants received 2 mA anodal tDCS over EEG coordinate AF3 during extinction of a first conditioned stimulus. The remaining 18 participants received similar tDCS during extinction of a second conditioned stimulus. Sham stimulation was applied for the balance of extinction trials in both groups. Normalized skin conductance changes were analyzed using linear mixed models to evaluate effects of tDCS over late extinction and early recall trials. RESULTS We observed a significant interaction between timing of tDCS during extinction blocks and changes in skin conductance reactivity over late extinction trials. These data indicate that tDCS was associated with accelerated late extinction learning of a second conditioned stimulus after tDCS was combined with extinction learning of a previous conditioned stimulus. No significant effects of tDCS timing were observed on early extinction recall. CONCLUSIONS Results could be explained by an anxiolytic aftereffect of tDCS and extend previous studies on tDCS-induced modulation of fear and threat related learning processes. These findings support further exploration of the clinical use of tDCS.

Extinction retention and fear renewal in a lifetime obsessive–compulsive disorder sample

Obsessive-compulsive disorder (OCD), like other illnesses with prominent anxiety, may involve abnormal fear regulation and consolidation of safety memories. Impaired fear extinction memory (extinction recall, ER) has been shown in individuals with current symptoms of OCD [1]. However, contrary to expectations, the only previous study investigating this phenomenon showed a positive correlation between extinction recall abilities and OCD symptomology (i.e., as OCD symptoms worsened, extinction memory improved). The purpose of the current study was to determine if patients with a lifetime diagnosis of OCD (not necessarily currently symptomatic) also demonstrate impairments in extinction memory, and the relationship between OCD symptomology and extinction memory in this type of sample. In addition, we also examined fear renewal, which has never been investigated in an OCD sample. We enrolled 37 patients with OCD, the majority of whom were on serotonin reuptake inhibitors, and 18 healthy control participants in a 2-day paradigm assessing fear conditioning and extinction (Day 1) and extinction retention and renewal (Day 2). Skin conductance responses (SCRs) were the dependent measure. Results, as in the prior study, indicated that the only between-group difference was impaired ER in OCD patients relative to controls. Contrary to our prediction, OCD symptom severity was not correlated with the magnitude of extinction recall. There were no differences in fear renewal between OCD patients and controls.

Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.

The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a primary diagnosis of obsessive compulsive disorder (OCD). Random Forests is an ensemble machine learning algorithm that has been successfully applied to large‐scale data analysis across vast biomedical disciplines, though rarely in psychiatric research or for application to longitudinal data. When provided with 795 raw and composite scores primarily from baseline measures, Random Forest regression prediction explained 50.8% (5000‐run average, 95% bootstrap confidence interval [CI]: 50.3–51.3%) of the variance in proportion of time spent remitted. Machine performance improved when only the most predictive 24 items were used in a reduced analysis. Consistently high‐ranked predictors of longitudinal remission included Yale–Brown Obsessive Compulsive Scale (Y‐BOCS) items, NEO items and subscale scores, Y‐BOCS symptom checklist cleaning/washing compulsion score, and several self‐report items from social adjustment scales. Random Forest classification was able to distinguish participants according to binary remission outcomes with an error rate of 24.6% (95% bootstrap CI: 22.9–26.2%). Our results suggest that clinically‐useful prediction of remission may not require an extensive battery of measures. Rather, a small set of assessment items may efficiently distinguish high‐ and lower‐risk patients and inform clinical decision‐making. Copyright

An experimental comparison of techniques: Cognitive defusion, cognitive restructuring, and in-vivo exposure for social anxiety

BACKGROUND One of the primary differences between Cognitive Behavioral Therapy (CBT) and Acceptance and Commitment Therapy (ACT) for anxiety is the approach to managing negative thoughts. CBT focuses on challenging the accuracy of dysfunctional thoughts through cognitive restructuring exercises, whereas ACT attempts to foster acceptance of such thoughts through cognitive defusion exercises. Previous research suggests that both techniques reduce the distress associated with negative thoughts, though questions remain regarding the benefit of these techniques above and beyond exposure to feared stimuli. AIMS In the present study, we conducted a brief experimental intervention to examine the utility of cognitive defusion + in-vivo exposure, cognitive restructuring + in-vivo exposure, and in-vivo exposure alone in reducing the impact of negative thoughts in patients with social anxiety disorder. METHOD All participants completed a brief public speaking exposure and those in the cognitive conditions received training in the assigned cognitive technique. Participants returned a week later to complete a second exposure task and self-report measures. RESULTS All three conditions resulted in similar decreases in discomfort related to negative thoughts. ANOVA models failed to find an interaction between change in accuracy or importance and assignment to condition in predicting decreased distress of negative thoughts. CONCLUSIONS These preliminary results suggest that changes in perceived importance and accuracy of negative thoughts may not be the mechanisms by which cognitive defusion and cognitive restructuring affect distress in the short-term.

Predicting course of illness in patients with severe obsessive-compulsive disorder.

OBJECTIVE Few data are available to inform clinical expectations about course and prognosis of severe obsessive-compulsive disorder (OCD). Such information is necessary to guide clinicians and to inform criteria for invasive interventions for severe and intractable OCD. This study sought to examine course and prospective predictors of a chronic course in patients with severe OCD over 5 years. METHOD A selected subset of adults in the Brown Longitudinal Obsessive-Compulsive Study (BLOCS) was included. Adult BLOCS participants were enrolled between 2001 and 2006. All participants in the current study (N = 113) had DSM-IV OCD diagnosis, severe OCD symptoms at baseline, and at least 1 year of follow-up data. RESULTS Cox proportional hazard models were used to examine the general pattern of course in the severe OCD sample based on Longitudinal Interval Follow-Up Evaluation (LIFE) psychiatric status ratings, as well as test predictors of chronically severe course. Results indicated that approximately half of patients with severe OCD at baseline had illness drop to a moderate or lower range of severity during 5 years of follow-up (50.4%) and that marked improvement was rare after 3 years of severe illness. The only unique predictor of a more chronically severe course was patient report of ever having been housebound for a week or more due to OCD symptoms (P < .05). CONCLUSIONS Findings of this study were 3-fold: (1) half of participants with severe OCD have symptom improvement over 5 years of follow-up, (2) the majority of participants that drop out of the severe range of symptom severity do so within the first 3 years of follow-up, and (3) patient-reported history of being housebound for 1 week or more due to OCD is a significant predictor of OCDs remaining severe over the 5-year follow-up.

The Brown Incompleteness Scale (BINCS): Measure development and initial evaluation

Background In recent years, incompleteness has received increased clinical attention as a core motivation underlying obsessive-compulsive spectrum disorders. Yet, assessment of incompleteness has relied almost exclusively on self-report and has assumed a unitary conceptualization of this phenomenon. Therefore, we sought to develop and validate a new multi-faceted clinician-administered measure of incompleteness. The Brown Incompleteness Scale (BINCS) consists of 21 items; each rated on a 5-point scale, with higher scores indicating a greater degree of incompleteness. The current study describes the measures development and preliminary validation. Methods The scale was administered to 100 consecutive participants who were part of a longitudinal follow-up study of OCD. The reliability, validity, and factor analytic structure of the scale were evaluated. Results Exploratory factor analysis supported a two-factor solution, which can best be described as representing both behavioral and sensory manifestations of incompleteness. Conclusions The BINCS demonstrated strong internal consistency as well as convergent and divergent validity. This clinician-administered scale will provide a more comprehensive clinical assessment of patients with incompleteness.

The overlap of sleep disturbance and depression in primary care patients treated with buprenorphine

BACKGROUND Sleep disturbance is common among patients receiving long-term opioid therapies, such as methadone maintenance. However, little is known about sleep disturbances in patients receiving medication treatment with buprenorphine. We sought to determine the frequency of subjective sleep disturbance in a sample of patients receiving medication treatment and to examine clinical factors related to sleep disturbance. METHODS Participants were 328 persons receiving buprenorphine at 3 primary care sites. Sleep difficulty was assessed 2 questions adapted from the Patient Health Questionnaire-9 (PHQ-9) item assessing sleep. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CESD)-10 and PHQ-2. In addition, information was gathered on participant demographics and treatment characteristics. Demographics, buprenorphine treatment history, and depressive symptoms were compared for those with and without self-reported sleep difficulty. Logistic regression was used to estimate the adjusted association of sleep disturbance with these correlates. RESULTS Seventy-one percent of persons receiving medication treatment with buprenorphine in the present study reported sleep difficulty. Persons reporting sleep disturbance reported shorter time in buprenorphine treatment and more depressed mood compared with those without sleep difficulty (p < .01). Men were significantly less likely to report disturbed sleep than women (odds ratio [OR] = 0.57, 95% confidence interval [CI]: 0.33, 0.98). Sleep disturbance was not associated significantly with age, ethnicity, educational attainment, or buprenorphine dose. CONCLUSIONS Sleep disturbance is common in patients receiving medication treatment with buprenorphine and is associated with more depressive symptoms as well as a shorter duration of medication treatment. Future research, using subjective and objective sleep measures, is warranted to understand whether sleep disturbance is mitigated by longer buprenorphine treatment and whether difficulty sleeping predicts buprenorphine discontinuation among patients seeking treatment for opioid dependence.

A pilot randomized controlled trial of aerobic exercise as an adjunct to OCD treatment

OBJECTIVE The purpose of the current study was to conduct a randomized controlled trial testing the efficacy of aerobic exercise for decreasing OCD symptom severity, other mental health outcomes, and increasing exercise behaviors and cardiorespiratory fitness among individuals with OCD. METHOD Fifty-six patients (64% female; mean age=38.8years) with OCD and a Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score of 16 or greater despite engaging in OCD treatment were randomized to 12-weeks of supervised plus home-based moderate-intensity aerobic exercise (AE; n=28) or to 12-weeks of health education sessions (HE; n=28). RESULTS Random intercepts mixed models examined differences between conditions at post-treatment. Though no difference between conditions on outcomes was observed, both AE and HE showed significant reduction in OCD symptom severity, depression and anxiety at post-treatment. Relative to HE, significant increases were noted in amount of exercise and cardiorespiratory fitness for those in the AE condition. At post-treatment, 30.4% of the AE condition (7 of 23) were treatment-responders (using the commonly accepted measure of 35% symptom reduction from baseline). In the HE condition, 7.7% of the sample (2 of 26) met this criterion at post-treatment. CONCLUSION The results of this preliminary study suggest that exercise and health-focused interventions may be beneficial adjuncts to existing OCD treatment. Future studies with larger samples are needed to more definitively answer questions the efficacy of AE for reducing OCD symptoms and improving related clinical outcomes.