Pretreatment characteristics associated with symptom reduction during group cognitive processing therapy versus exposure therapy for PTSD: an exploratory study of Veterans.

Exposure and cognitive-based therapies are both effective for PTSD, but knowledge of which intervention is best for which patient is lacking. This lack of knowledge is particularly noticeable for group treatments, as no study has examined whether responses to different group therapies are associated with different pretreatment characteristics. Here, we explored whether pretreatment levels of three types of psychological characteristics-PTSD symptom clusters, posttraumatic cognitions, and emotion regulation difficulties-were associated with symptom reduction during group-delivered cognitive versus exposure-based PTSD treatment. Participants were Veterans with PTSD drawn from two previous clinical trials: one of group CPT (GCPT; n = 32) and the other of group-based exposure therapy (GBET; n = 21). Growth curve modeling was used to identify pretreatment variables that predicted weekly PTSD symptom changes during each therapy. Higher posttraumatic cognitions at pretreatment predicted steeper PTSD symptom reduction during GCPT but not GBET. Additionally, symptom reduction during each therapy was associated with different pretreatment emotion regulation difficulties: difficulties with goal-directed behavior for GBET and lack of emotional clarity and limited access to emotion regulation strategies for GCPT. These findings suggest that assigning Veterans to a group PTSD therapy that better matches their pretreatment psychological profile might facilitate a better therapeutic response.

Age-dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury.

Mild Traumatic brain injury (mTBI) is a signature wound in military personnel, and repetitive mTBI has been linked to age-related neurogenerative disorders that affect white matter (WM) in the brain. However, findings of injury to specific WM tracts have been variable and inconsistent. This may be due to the heterogeneity of mechanisms, etiology, and comorbid disorders related to mTBI. Non-negative matrix factorization (NMF) is a data-driven approach that detects covarying patterns (components) within high-dimensional data. We applied NMF to diffusion imaging data from military Veterans with and without a self-reported TBI history. NMF identified 12 independent components derived from fractional anisotropy (FA) in a large dataset (n = 1,475) gathered through the ENIGMA (Enhancing Neuroimaging Genetics through Meta-Analysis) Military Brain Injury working group. Regressions were used to examine TBI- and mTBI-related associations in NMF-derived components while adjusting for age, sex, post-traumatic stress disorder, depression, and data acquisition site/scanner. We found significantly stronger age-dependent effects of lower FA in Veterans with TBI than Veterans without in four components (q < 0.05), which are spatially unconstrained by traditionally defined WM tracts. One component, occupying the most peripheral location, exhibited significantly stronger age-dependent differences in Veterans with mTBI. We found NMF to be powerful and effective in detecting covarying patterns of FA associated with mTBI by applying standard parametric regression modeling. Our results highlight patterns of WM alteration that are differentially affected by TBI and mTBI in younger compared to older military Veterans.

Do early responders and treatment non-responders offer guidance to make CPT group a more effective treatment?

BACKGROUND: Treatment dropout has been problematic with evidence-based treatments for posttraumatic stress disorder (PTSD), including cognitive processing therapy (CPT). This study sought to evaluate whether CPT group contributed to symptom improvement among treatment completers and non-completers. METHODS: Sixty-one Iraq and Afghanistan combat Veterans self-selected CPT group or treatment as usual (TAU) forming a convenience sample. Defining treatment completion as attending at least nine sessions: 18 completed treatment, 20 dropped-out (DOs); 20 completed TAU, 3 lost to TAU follow-up. RESULTS: Multiple Regression revealed significant pre-post-treatment improvement, the Clinician-Administered PTSD Scale (CAPS-IV, F(5, 40.1) = 2.53, p = 0.0436). Reviewing DOs' last available PTSD Checklist-Military Version scores before leaving treatment, six achieved clinically significant improvement of >10 points; seven a clinically reliable change of 5-10 points. CONCLUSION: These findings highlight that CPT group may be effective at reducing trauma-related symptoms among treatment completers and dropouts and point to the utility of a clinical definition of good treatment end-state.

Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress.

Background: Posttraumatic stress disorder (PTSD) is a significant burden among combat Veterans returning from the wars in Iraq and Afghanistan. While empirically supported treatments have demonstrated reductions in PTSD symptomatology, there remains a need to improve treatment effectiveness. Functional magnetic resonance imaging (fMRI) neurofeedback has emerged as a possible treatment to ameliorate PTSD symptom severity. Virtual reality (VR) approaches have also shown promise in increasing treatment compliance and outcomes. To facilitate fMRI neurofeedback-associated therapies, it would be advantageous to accurately classify internal brain stress levels while Veterans are exposed to trauma-associated VR imagery. Methods: Across 2 sessions, we used fMRI to collect neural responses to trauma-associated VR-like stimuli among male combat Veterans with PTSD symptoms (N = 8). Veterans reported their self-perceived stress level on a scale from 1 to 8 every 15 s throughout the fMRI sessions. In our proposed framework, we precisely sample the fMRI data on cortical gray matter, blurring the data along the gray-matter manifold to reduce noise and dimensionality while preserving maximum neural information. Then, we independently applied 3 machine learning (ML) algorithms to this fMRI data collected across 2 sessions, separately for each Veteran, to build individualized ML models that predicted their internal brain states (self-reported stress responses). Results: We accurately classified the 8-class self-reported stress responses with a mean (± standard error) root mean square error of 0.6 (± 0.1) across all Veterans using the best ML approach. Conclusions: The findings demonstrate the predictive ability of ML algorithms applied to whole-brain cortical fMRI data collected during individual Veteran sessions. The framework we have developed to preprocess whole-brain cortical fMRI data and train ML models across sessions would provide a valuable tool to enable individualized real-time fMRI neurofeedback during VR-like exposure therapy for PTSD.

Does Validity Measure Response Affect CPT Group Outcomes in Veterans with PTSD?

INTRODUCTION: There is a dearth of research on the impact of pre-treatment assessment effort and symptom exaggeration on the treatment outcomes of Veterans engaging in trauma-focused therapy, handicapping therapists providing these treatments. Research suggests a multi-method approach for assessing symptom exaggeration in Veterans with posttraumatic stress disorder (PTSD), which includes effort and symptom validity tests, is preferable. Symptom exaggeration has also been considered a "cry for help," associated with increased PTSD and depressive symptoms. Recently, research has identified resilience as a moderator of PTSD and depressive symptom severity and an important predictor of treatment response among individuals with PTSD. Thus, it is important to examine the intersection of symptom exaggeration, resilience, and treatment outcome to determine whether assessment effort and symptom exaggeration compromise treatment response. MATERIALS AND METHODS: We recruited Veterans, aged 18-50 who served during the Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn (OEF/OIF/OND) era, from mental health clinics and fliers posted in a large Veterans Affairs Medical Center. Veterans met inclusion criteria if they were diagnosed with PTSD via a clinician-administered assessment. Sixty-one Veterans consented to participate and self-selected into a cognitive processing therapy (CPT) group or treatment-as-usual. We offered self-selection because low recruitment rates delayed treatment start dates and were consistent with a Veteran-centered care philosophy. Veterans were assessed before and after treatment to determine the impact of assessment effort and symptom exaggeration scores on measures of PTSD and depressive symptoms and resilience. This study examined whether assessment effort failure and symptom exaggeration were associated with compromised psychotherapy outcomes in Veterans with PTSD undergoing CPT group. We hypothesized that a pattern of responding consistent with both effort and symptom exaggeration would result in higher (ie, more severe) pre- and post-treatment scores on PTSD and depressive symptom outcome measures and lower resiliency when compared to Veterans providing good effort and genuine responding. Hypotheses were evaluated using bivariate correlation analyses, analysis of variance, and chi-square analyses. RESULTS: Pre-treatment scores on measures of PTSD and depressive symptoms were higher among Veterans whose pattern of responding was consistent with poor assessment effort and symptom exaggeration; these Veterans also scored lower on a measure of resiliency. At post-treatment, there were no differences between Veterans displaying good and failed effort testing on measures of PTSD and depressive symptoms or in whether they completed treatment. Post-treatment resiliency scores remained significantly lower in those with failed effort testing. CONCLUSION: These results suggest that Veterans with PTSD whose validity testing scores are indicative of poor effort and symptom exaggeration may be less resilient but may still complete a CPT group treatment and benefit from treatment at a rate comparable to Veterans who evidence good assessment effort and genuine symptom reporting pre-treatment. These findings also challenge the assumption that pre-treatment assessment effort failure and symptom exaggeration accurately predict poor effort in trauma-focused psychotherapy.