Testing the role of aerobic exercise in the treatment of posttraumatic stress disorder (PTSD) symptoms in U.S. active duty military personnel: a pilot study.

The purpose of this pilot study was to determine if the efficacy of imaginal exposure for symptoms of posttraumatic stress disorder (PTSD) could be improved by adding aerobic exercise. We hypothesized that aerobic exercise would enhance the efficacy of exposure therapy. Active duty service members with clinically significant symptoms of posttraumatic stress (PTSD Checklist-Stressor-Specific Version, [PCL-S], ≥25) were randomized into one of four conditions: exercise only; imaginal exposure only; imaginal exposure plus exercise; no exercise/no exposure therapy (control). Participants (N = 72) were primarily male, Army, noncommissioned officers ranging in age from 22 to 52. PTSD symptom severity decreased over time (p < .0001); however, there were no significant differences between the experimental conditions. The prediction that imaginal exposure augmented with aerobic exercise would be superior to either imaginal exposure alone or aerobic exercise alone was not supported, suggesting that engaging in exercise and imaginal exposure simultaneously may not be any better than engaging in either activity alone. A better understanding of individually administered and combined exercise and exposure therapy interventions for PTSD is warranted.

Shared genetic etiology underlying late-onset Alzheimer's disease and posttraumatic stress syndrome.

INTRODUCTION: Late-onset Alzheimer's disease (LOAD) manifests comorbid neuropsychiatric symptoms and posttraumatic stress disorder (PTSD) is associated with an increased risk for dementia in late life, suggesting the two disorders may share genetic etiologies. METHODS: We performed genetic pleiotropy analysis using LOAD and PTSD genome-wide association study (GWAS) datasets from white and African-American populations, followed by functional-genomic analyses. RESULTS: We found an enrichment for LOAD across increasingly stringent levels of significance with the PTSD GWAS association (LOAD|PTSD) in the discovery and replication cohorts and a modest enrichment for the reverse conditional association (PTSD|LOAD). LOAD|PTSD association analysis identified and replicated the MS4A genes region. These genes showed similar expression pattern in brain regions affected in LOAD, and across-brain-tissue analysis identified a significant association for MS4A6A. The African-American samples showed moderate enrichment; however, no false discovery rate-significant associations. DISCUSSION: We demonstrated common genetic signatures for LOAD and PTSD and suggested immune response as a common pathway for these diseases.

An epigenetic mechanism links socioeconomic status to changes in depression-related brain function in high-risk adolescents.

Identifying biological mechanisms through which the experience of adversity emerges as individual risk for mental illness is an important step toward developing strategies for personalized treatment and, ultimately, prevention. Preclinical studies have identified epigenetic modification of gene expression as one such mechanism. Recent clinical studies have suggested that epigenetic modification, particularly methylation of gene regulatory regions, also acts to shape human brain function associated with risk for mental illness. However, it is not yet clear whether differential gene methylation as a function of adversity contributes to the emergence of individual risk for mental illness. Using prospective longitudinal epigenetic, neuroimaging and behavioral data from 132 adolescents, we demonstrate that changes in gene methylation associated with lower socioeconomic status (SES) predict changes in risk-related brain function. Specifically, we find that lower SES during adolescence is associated with an increase in methylation of the proximal promoter of the serotonin transporter gene, which predicts greater increases in threat-related amygdala reactivity. We subsequently demonstrate that greater increases in amygdala reactivity moderate the association between a positive family history for depression and the later manifestation of depressive symptoms. These initial results suggest a specific biological mechanism through which adversity contributes to altered brain function, which in turn moderates the emergence of general liability as individual risk for mental illness. If replicated, this prospective pathway may represent a novel target biomarker for intervention and prevention among high-risk individuals.

Mothers' childhood hardship forecasts adverse pregnancy outcomes: Role of inflammatory, lifestyle, and psychosocial pathways.

Research suggests the health consequences of economic hardship can be transmitted across generations. Some of these disparities are thought to be passed to offspring during gestation. But this hypothesis has not been tested in contemporary American samples, and the mechanisms of transmission have not been characterized. Accordingly, this study had two goals: first, to determine if women exposed to economic hardship during childhood showed higher rates of adverse birth outcomes; and second, to evaluate the contribution of inflammation, psychosocial, lifestyle, and obstetric characteristics to this phenomenon. This prospective study enrolled 744 women with singleton pregnancies (59.1% White; 16.3% Black; 18.7% Latina; 5.9% Other). Childhood economic hardship was measured by self-report. Birth outcomes included length of gestation and incidence of preterm birth; birth weight percentile and small for gestational age; length of hospital stay and admission to Special Care Nursery. Analyses revealed that mothers' childhood economic hardship was independently associated with multiple adverse birth outcomes, even following adjustment for demographics, maternal education, and obstetrical confounders. Women raised in economically disadvantaged conditions had shorter gestation length and higher preterm delivery rates. Their babies had lower birth weights, were more likely to be small for gestational age, stayed in the hospital longer, and had more Special Care Nursery admissions. Mediation analyses suggested these associations arose through multiple pathways, and highlighted roles for inflammation, education, adiposity, and obstetric complications. Collectively, these findings suggest that childhood economic hardship predisposes women to adverse birth outcomes, and highlights likely behavioral and biological mechanisms.

Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data.

The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imaging (DTI) reconstruction in 481 HCP subjects (194/287 M/F) consisting of 57/60 pairs of mono- and dizygotic twins, and 246 siblings. FA measurements were derived using (Enhancing NeuroImaging Genetics through Meta-Analysis) ENIGMA DTI protocols and heritability estimates were calculated using the SOLAR-Eclipse imaging genetic analysis package. We compared heritability estimates derived from HCP data to those publicly available through the ENIGMA-DTI consortium, which were pooled together from five-family based studies across the US, Europe, and Australia. FA measurements from the HCP cohort for eleven major white matter tracts were highly heritable (h(2)=0.53-0.90, p<10(-5)), and were significantly correlated with the joint-analytical estimates from the ENIGMA cohort on the tract and voxel-wise levels. The similarity in regional heritability suggests that the additive genetic contribution to white matter microstructure is consistent across populations and imaging acquisition parameters. It also suggests that the overarching genetic influence provides an opportunity to define a common genetic search space for future gene-discovery studies. Uniquely, the measurements of additive genetic contribution performed in this study can be repeated using online genetic analysis tools provided by the HCP ConnectomeDB web application.

Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling.

Combining datasets across independent studies can boost statistical power by increasing the numbers of observations and can achieve more accurate estimates of effect sizes. This is especially important for genetic studies where a large number of observations are required to obtain sufficient power to detect and replicate genetic effects. There is a need to develop and evaluate methods for joint-analytical analyses of rich datasets collected in imaging genetics studies. The ENIGMA-DTI consortium is developing and evaluating approaches for obtaining pooled estimates of heritability through meta-and mega-genetic analytical approaches, to estimate the general additive genetic contributions to the intersubject variance in fractional anisotropy (FA) measured from diffusion tensor imaging (DTI). We used the ENIGMA-DTI data harmonization protocol for uniform processing of DTI data from multiple sites. We evaluated this protocol in five family-based cohorts providing data from a total of 2248 children and adults (ages: 9-85) collected with various imaging protocols. We used the imaging genetics analysis tool, SOLAR-Eclipse, to combine twin and family data from Dutch, Australian and Mexican-American cohorts into one large "mega-family". We showed that heritability estimates may vary from one cohort to another. We used two meta-analytical (the sample-size and standard-error weighted) approaches and a mega-genetic analysis to calculate heritability estimates across-population. We performed leave-one-out analysis of the joint estimates of heritability, removing a different cohort each time to understand the estimate variability. Overall, meta- and mega-genetic analyses of heritability produced robust estimates of heritability.

A coordinate-based meta-analytic model of trauma processing in posttraumatic stress disorder.

Posttraumatic stress disorder (PTSD) has a well-defined set of symptoms that can be elicited during traumatic imagery tasks. For this reason, trauma imagery tasks are often employed in functional neuroimaging studies. Here, coordinate-based meta-analysis (CBM) was used to pool eight studies applying traumatic imagery tasks to identify sites of task-induced activation in 170 PTSD patients and 104 healthy controls. In this way, right anterior cingulate (ACC), right posterior cingulate (PCC), and left precuneus (Pcun) were identified as regions uniquely active in PTSD patients relative to healthy controls. To further characterize these regions, their normal interactions, and their typical functional roles, meta-analytic connectivity modeling (MACM) with behavioral filtering was applied. MACM indicated that the PCC and Pcun regions were frequently co-active and associated with processing of cognitive information, particularly in explicit memory tasks. Emotional processing was particularly associated with co-activity of the ACC and PCC, as mediated by the thalamus. By narrowing the regions of interest to those commonly active across multiple studies (using CBM) and developing a priori hypotheses about directed probabilistic dependencies amongst these regions, this proposed model-when applied in the context of graphical and causal modeling-should improve model fit and thereby increase statistical power for detecting differences between subject groups and between treatments in neuroimaging studies of PTSD.

Prevalence of Fibromyalgia Syndrome in Active-Duty Military Personnel.

OBJECTIVE: Previous research with civilian populations has found strong associations between fibromyalgia (FM) and posttraumatic stress disorder (PTSD). We undertook this study to investigate the prevalence of FM in military service members with and without PTSD. METHODS: Participants were active duty military personnel recruited into either an epidemiologic cohort study of service members before a military deployment or 1 of 3 PTSD treatment trials. Instruments used to document FM and PTSD included the PTSD Checklist-Stressor-Specific Version, the PTSD Symptom Scale-Interview, and the 2012 American College of Rheumatology FM questionnaire. RESULTS: Across the 4 studies, 4,376 subjects completed surveys. The prevalence of FM was 2.9% in the predeployment cohort, and the prevalence was significantly higher in individuals with PTSD (10.8%) compared with those without PTSD (0.8%). In the treatment trials, all of the participants met criteria for PTSD before starting treatment, and the prevalence of FM was 39.7%. CONCLUSION: The prevalence of FM in active duty service members preparing to deploy is similar to that reported for the general population of the US but is higher than expected for a predominantly male cohort. Furthermore, the prevalence of FM was significantly higher in service members with comorbid PTSD and was highest among those seeking treatment for PTSD. Further investigation is needed to determine the factors linking PTSD and FM.

Phenotypic predictors of suicide subtypes from pre-to postdeployment in active duty military personnel.

Military service members are at increased risk for suicide, but there are few strategies for detecting those who are at highest risk after a deployment. Using all available data collected from 4119 Military service members before and after their deployment to Iraq for Operation Iraqi Freedom, we tested whether predeployment characteristics clustered together to predict postdeployment suicidal risk. Latent class analysis showed that three classes best characterized the sample at predeployment. Class 1 had significantly higher scores on PTSD severity pre- and postdeployment than Classes 2 and 3 (Ps < .001). At postdeployment, Class 1 also had a greater proportion of endorsement of lifetime and past year suicidal ideation than Classes 2 and 3 (Ps < .05) and a greater proportion of lifetime suicide attempts than Class 3 (P < .001). Class 1 also had a greater proportion of endorsement of past-30-days intention to act on suicidal thoughts than Classes 2 and 3 (Ps < .05) and past-30-days specific plan for suicide than Classes 2 and 3 (Ps < .05). The study showed that based only on predeployment data, it is possible to determine which service members might be at highest risk for suicidal ideation and behavior at postdeployment.

Massed vs Intensive Outpatient Prolonged Exposure for Combat-Related Posttraumatic Stress Disorder: A Randomized Clinical Trial.

Importance: Improved, efficient, and acceptable treatments are needed for combat-related posttraumatic stress disorder (PTSD). Objective: To determine the efficacy of 2 compressed prolonged exposure (PE) therapy outpatient treatments for combat-related PTSD. Design, Setting, and Participants: This randomized clinical trial was conducted among military personnel and veterans at 4 sites in Texas from 2017 to 2019. Assessors were blinded to conditions. Data were analyzed from November 2020 to October 2022. Interventions: The interventions were massed-PE, which included 15 therapy sessions of 90 minutes each over 3 weeks, vs intensive outpatient program PE (IOP-PE), which included 15 full-day therapy sessions over 3 weeks with 8 treatment augmentations. The IOP-PE intervention was hypothesized to be superior to massed-PE. Main Outcomes and Measures: Coprimary outcomes included the Clinician-Administered PTSD Scale for Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) (CAPS-5) and the PTSD Checklist for DSM-5 (PCL-5) administered at baseline and posttreatment follow-ups. Measures ranged from 0 to 80, with higher scores indicating greater severity. Diagnostic remission and reliable change were secondary outcomes. Results: Among 319 military personnel and veterans screened, 234 were randomized (mean [SD] age, 39.20 [7.72] years; 182 [78%] male participants), with 117 participants randomized to IOP-PE and 117 participants randomized to massed-PE. A total of 61 participants (26%) were African American, 58 participants (25%) were Hispanic, and 102 participants (44%) were White; 151 participants (65%) were married. Linear mixed-effects models found that CAPS-5 scores decreased in both treatment groups at the 1-month follow-up (IOP-PE: mean difference, -13.85 [95% CI, -16.47 to -11.23]; P < .001; massed-PE: mean difference, -14.13 [95% CI, -16.63 to -11.62]; P < .001). CAPS-5 change scores differed from 1- to 6-month follow-ups (mean difference, 4.44 [95% CI, 0.89 to 8.01]; P = .02). PTSD symptoms increased in massed-PE participants during follow-up (mean difference, 3.21 [95% CI, 0.65 to 5.77]; P = .01), whereas IOP-PE participants maintained treatment gains (mean difference, 1.23 [95% CI, -3.72 to 1.27]; P = .33). PCL-5 scores decreased in both groups from baseline to 1-month follow-up (IOP-PE: mean difference, -21.81 [95% CI, -25.57 to -18.04]; P < .001; massed-PE: mean difference, -19.96 [95% CI, -23.56 to -16.35]; P < .001) and were maintained at 6 months (IOP-PE: mean change, -0.21 [95% CI, -3.47 to 3.06]; P = .90; massed-PE: mean change, 3.02 [95% CI, -0.36 to 6.40]; P = .08). Both groups had notable PTSD diagnostic remission at posttreatment (IOP-PE: 48% [95% CI, 36% to 61%] of participants; massed-PE: 62% [95% CI, 51% to 73%] of participants), which was maintained at 6 months (IOP-PE: 53% [95% CI, 40% to 66%] of participants; massed-PE: 52% [95% CI, 38% to 66%] of participants). Most participants demonstrated reliable change on the CAPS-5 (61% [95% CI, 52% to 69%] of participants) and the PCL-5 (74% [95% CI, 66% to 81%] of participants) at the 1-month follow-up. Conclusions and Relevance: These findings suggest that PE can be adapted into compressed treatment formats that effectively reduce PTSD symptoms. Trial Registration: ClinicalTrials.gov Identifier: NCT03529435.

Decoding Shared Versus Divergent Transcriptomic Signatures Across Cortico-Amygdala Circuitry in PTSD and Depressive Disorders.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating neuropsychiatric disease that is highly comorbid with major depressive disorder (MDD) and bipolar disorder. The overlap in symptoms is hypothesized to stem from partially shared genetics and underlying neurobiological mechanisms. To delineate conservation between transcriptional patterns across PTSD and MDD, the authors examined gene expression in the human cortex and amygdala in these disorders. METHODS: RNA sequencing was performed in the postmortem brain of two prefrontal cortex regions and two amygdala regions from donors diagnosed with PTSD (N=107) or MDD (N=109) as well as from neurotypical donors (N=109). RESULTS: The authors identified a limited number of differentially expressed genes (DEGs) specific to PTSD, with nearly all mapping to cortical versus amygdala regions. PTSD-specific DEGs were enriched in gene sets associated with downregulated immune-related pathways and microglia as well as with subpopulations of GABAergic inhibitory neurons. While a greater number of DEGs associated with MDD were identified, most overlapped with PTSD, and only a few were MDD specific. The authors used weighted gene coexpression network analysis as an orthogonal approach to confirm the observed cellular and molecular associations. CONCLUSIONS: These findings provide supporting evidence for involvement of decreased immune signaling and neuroinflammation in MDD and PTSD pathophysiology, and extend evidence that GABAergic neurons have functional significance in PTSD.

Dose-related effects of ketamine for antidepressant-resistant symptoms of posttraumatic stress disorder in veterans and active duty military: a double-blind, randomized, placebo-controlled multi-center clinical trial.

This study tested the efficacy of repeated intravenous ketamine doses to reduce symptoms of posttraumatic stress disorder (PTSD). Veterans and service members with PTSD (n = 158) who failed previous antidepressant treatment were randomized to 8 infusions administered twice weekly of intravenous placebo (n = 54), low dose (0.2 mg/kg; n = 53) or standard dose (0.5 mg/kg; n = 51) ketamine. Participants were assessed at baseline, during treatment, and for 4 weeks after their last infusion. Primary analyses used mixed effects models. The primary outcome measure was the self-report PTSD Checklist for DSM-5 (PCL-5), and secondary outcome measures were the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) and the Montgomery Åsberg Depression Rating Scale (MADRS). There were no significant group-by-time interactions for PTSD symptoms measured by the PCL-5 or CAPS-5. The standard ketamine dose ameliorated depression measured by the MADRS significantly more than placebo. Ketamine produced dose-related dissociative and psychotomimetic effects, which returned to baseline within 2 h and were less pronounced with repeated administration. There was no evidence of differential treatment discontinuation by ketamine dose, consistent with good tolerability. This clinical trial failed to find a significant dose-related effect of ketamine on PTSD symptoms. Secondary analyses suggested that the standard dose exerted rapid antidepressant effects. Further studies are needed to determine the role of ketamine in PTSD treatment. ClinicalTrials.gov identifier: NCT02655692.

Gene expression in the dorsolateral and ventromedial prefrontal cortices implicates immune-related gene networks in PTSD.

Studies evaluating neuroimaging, genetically predicted gene expression, and pre-clinical genetic models of PTSD, have identified PTSD-related abnormalities in the prefrontal cortex (PFC) of the brain, particularly in dorsolateral and ventromedial PFC (dlPFC and vmPFC). In this study, RNA sequencing was used to examine gene expression in the dlPFC and vmPFC using tissue from the VA National PTSD Brain Bank in donors with histories of PTSD with or without depression (dlPFC n = 38, vmPFC n = 35), depression cases without PTSD (n = 32), and psychopathology-free controls (dlPFC n = 24, vmPFC n = 20). Analyses compared PTSD cases to controls. Follow-up analyses contrasted depression cases to controls. Twenty-one genes were differentially expressed in PTSD after strict multiple testing correction. PTSD-associated genes with roles in learning and memory (FOS, NR4A1), immune regulation (CFH, KPNA1) and myelination (MBP, MOBP, ERMN) were identified. PTSD-associated genes partially overlapped depression-associated genes. Co-expression network analyses identified PTSD-associated networks enriched for immune-related genes across the two brain regions. However, the immune-related genes and association patterns were distinct. The immune gene IL1B was significantly associated with PTSD in candidate-gene analysis and was an upstream regulator of PTSD-associated genes in both regions. There was evidence of replication of dlPFC associations in an independent cohort from a recent study, and a strong correlation between the dlPFC PTSD effect sizes for significant genes in the two studies (r = 0.66, p < 2.2 × 10-16). In conclusion, this study identified several novel PTSD-associated genes and brain region specific PTSD-associated immune-related networks.

Transcriptomic organization of the human brain in post-traumatic stress disorder.

Despite extensive study of the neurobiological correlates of post-traumatic stress disorder (PTSD), little is known about its molecular determinants. Here, differential gene expression and network analyses of four prefrontal cortex subregions from postmortem tissue of people with PTSD demonstrate extensive remodeling of the transcriptomic landscape. A highly connected downregulated set of interneuron transcripts is present in the most significant gene network associated with PTSD. Integration of this dataset with genotype data from the largest PTSD genome-wide association study identified the interneuron synaptic gene ELFN1 as conferring significant genetic liability for PTSD. We also identified marked transcriptomic sexual dimorphism that could contribute to higher rates of PTSD in women. Comparison with a matched major depressive disorder cohort revealed significant divergence between the molecular profiles of individuals with PTSD and major depressive disorder despite their high comorbidity. Our analysis provides convergent systems-level evidence of genomic networks within the prefrontal cortex that contribute to the pathophysiology of PTSD in humans.

Identifying suicidal subtypes and dynamic indicators of increasing and decreasing suicide risk in active duty military personnel: Study protocol.

OBJECTIVES: Several recent studies have demonstrated that posttraumatic stress disorder (PTSD) and insomnia treatments are associated with significant reductions in suicidal ideation (SI) among service members. However, few investigations have evaluated the manner in which suicide risk changes over time among military personnel receiving PTSD or insomnia treatments. This paper describes the study protocol for a project with these aims: (1) explore potential genetic, clinical, and demographic subtypes of suicide risk in a large cohort of deployed service members; (2) explore subtype change in SI as a result of evidence-based psychotherapies for PTSD and insomnia; (3) evaluate the speed of change in suicide risk; and (4) identify predictors of higher- and lower-risk for suicide. METHODS: Active duty military personnel were recruited for four clinical trials (three for PTSD treatment and one for insomnia treatment) and a large prospective epidemiological study of deployed service members, all conducted through the South Texas Research Organizational Network Guiding Studies on Trauma and Resilience (STRONG STAR Consortium). Participants completed similar measures of demographic and clinical characteristics and subsets provided blood samples for genetic testing. The primary measures that we will analyze are the Beck Scale for Suicide Ideation, Beck Depression Inventory, and the PTSD Checklist for DSM-IV. DISCUSSION: Results from this study will offer new insights into the presence of discrete subtypes of suicide risk among active duty personnel, changes in risk over time among those subtypes, and predictors of subtypes. Findings will inform treatment development for military service members at risk for suicide.

STRONG STAR and the Consortium to Alleviate PTSD: Shaping the future of combat PTSD and related conditions in military and veteran populations.

The STRONG STAR Consortium (South Texas Research Organizational Network Guiding Studies on Trauma and Resilience) and the Consortium to Alleviate PTSD are interdisciplinary and multi-institutional research consortia focused on the detection, diagnosis, prevention, and treatment of combat-related posttraumatic stress disorder (PTSD) and comorbid conditions in military personnel and veterans. This manuscript outlines the consortia's state-of-the-science collaborative research model and how this can be used as a roadmap for future trauma-related research. STRONG STAR was initially funded for 5 years in 2008 by the U.S. Department of Defense's (DoD) Psychological Health and Traumatic Brain Injury Research Program. Since the initial funding of STRONG STAR, almost 50 additional peer-reviewed STRONG STAR-affiliated projects have been funded through the DoD, the U.S. Department of Veterans Affairs (VA), the National Institutes of Health, and private organizations. In 2013, STRONG STAR investigators partnered with the VA's National Center for PTSD and were selected for joint DoD/VA funding to establish the Consortium to Alleviate PTSD. STRONG STAR and the Consortium to Alleviate PTSD have assembled a critical mass of investigators and institutions with the synergy required to make major scientific and public health advances in the prevention and treatment of combat PTSD and related conditions. This manuscript provides an overview of the establishment of these two research consortia, including their history, vision, mission, goals, and accomplishments. Comprehensive tables provide descriptions of over 70 projects supported by the consortia. Examples are provided of collaborations among over 50 worldwide academic research institutions and over 150 investigators.

Family environment and pediatric major depressive disorder.

BACKGROUND: The risks for depression broadly include biological and environmental factors. Furthermore, having a family member suffering from major depression is also likely to have consequences for the family environment. Further research aimed at understanding the effects of having a child with major depression on family interaction patterns is warranted. METHODS: We studied 31 families with an 8- to 17-year-old child (mean age +/- SD = 12.9 +/- 2.7 years) who met the DSM-IV criteria for major depressive disorder (MDD) and 34 families with no mentally ill children (mean age +/- SD = 12.6 +/- 2.9 years) or parents. Children and their parents were assessed with the K-SADS-PL (Kiddie Schedule for Affective Disorders and Schizophrenia--Present and Lifetime Version) interview. Parents completed the Moos Family Environment Scale (FES) to assess their perceptions of current family functioning. Data were analyzed using the nonparametric Wilcoxon-Mann-Whitney test. RESULTS: Families of MDD children showed significantly different patterns of family functioning on FES subscales representing relationships and personal growth dimensions. The families with MDD children showed higher levels of conflict (p < 0.001) and lower levels of cohesion (p < 0.001), expressiveness (p = 0.003) and active-recreational orientation (p = 0.02) compared to the families without mentally ill children. CONCLUSION: Families with MDD children show a lower degree of commitment, provide less support to one another, provide less encouragement to express feelings and have more conflicts compared to families with no mentally ill children or parents. Interventions aimed at improving family dynamics may be beneficial to MDD children and their families.

Convergent Evidence for Predispositional Effects of Brain Gray Matter Volume on Alcohol Consumption.

BACKGROUND: Alcohol use has been reliably associated with smaller subcortical and cortical regional gray matter volumes (GMVs). Whether these associations reflect shared predisposing risk factors or causal consequences of alcohol use remains poorly understood. METHODS: Data came from 3 neuroimaging samples (N = 2423), spanning childhood or adolescence to middle age, with prospective or family-based data. First, we identified replicable GMV correlates of alcohol use. Next, we used family-based and longitudinal data to test whether these associations may plausibly reflect a predispositional liability for alcohol use or a causal consequence of alcohol use. Finally, we used heritability, gene-set enrichment, and transcriptome-wide association study approaches to evaluate whether genome-wide association study-defined genomic risk for alcohol consumption is enriched for genes that are preferentially expressed in regions that were identified in our neuroimaging analyses. RESULTS: Smaller right dorsolateral prefrontal cortex (DLPFC) (i.e., middle and superior frontal gyri) and insula GMVs were associated with increased alcohol use across samples. Family-based and prospective longitudinal data suggest that these associations are genetically conferred and that DLPFC GMV prospectively predicts future use and initiation. Genomic risk for alcohol use was enriched in gene sets that were preferentially expressed in the DLPFC and was associated with replicable differential gene expression in the DLPFC. CONCLUSIONS: These data suggest that smaller DLPFC and insula GMV plausibly represent genetically conferred predispositional risk factors for, as opposed to consequences of, alcohol use. DLPFC and insula GMV represent promising biomarkers for alcohol-consumption liability and related psychiatric and behavioral phenotypes.

Treatment of comorbid sleep disorders and posttraumatic stress disorder in active duty military: Design and methodology of a randomized clinical trial.

Many individuals with posttraumatic stress disorder (PTSD) also suffer from insomnia and nightmares, which may be symptoms of PTSD or constitute partially independent comorbid disorders. Sleep disturbances are resistant to current treatments for PTSD, and those suffering from PTSD, insomnia, and nightmares have worse PTSD treatment outcomes. In addition, insomnia and nightmares are risk factors for depression, substance abuse, anxiety, and suicide. Cognitive-Behavioral Therapy for Insomnia and Nightmares (CBT-I&N) and Cognitive Processing Therapy (CPT) for PTSD are first line treatments of these conditions. CPT does not typically address insomnia or nightmares, and CBT-I&N does not typically address other symptoms of PTSD. There are limited scientific data on how best to provide these therapies to individuals suffering with all three disorders. This project aims to inform the most effective way to treat individuals suffering from PTSD, insomnia, and nightmares, potentially changing the standard of care. U.S. military personnel and recently discharged Veterans who served in support of combat operations following 9/11 aged 18-65 with PTSD, insomnia, and nightmares (N = 222) will be randomly assigned to one of the following 18-session individual treatment conditions delivered over 12-weeks: (1) 6 sessions of CBT-I&N followed by 12 sessions of CPT; (2) 12 sessions of CPT followed by 6 sessions of CBT-I&N; or (3) 12 sessions of CPT followed by an additional 6 sessions of CPT. All participants will be assessed at baseline, during treatment, and at 1-week, 1-month, 3-months, and 6-months posttreatment. The primary outcome will be PTSD symptom severity.

Neuroendocrine biomarkers of prolonged exposure treatment response in military-related PTSD.

Posttraumatic stress disorder (PTSD) is associated with dysregulation of the neuroendocrine system, including cortisol, allopregnanolone, and pregnanolone. Preliminary evidence from animal models suggests that baseline levels of these biomarkers may predict response to PTSD treatment. We report the change in biomarkers over the course of PTSD treatment. Biomarkers were sampled from individuals participating in (1) a randomized controlled trial comparing a web-version of Prolonged Exposure (Web-PE) therapy to in-person Present-Centered Therapy (PCT) and (2) from individuals participating in a nonrandomized effectiveness study testing PE delivered in-person as part of an intensive outpatient PTSD program. We found that higher cortisol reactivity during script-driven imagery was associated with higher baseline PTSD severity and that baseline allopregnanolone, pregnanolone, and cortisol reactivity were associated with PTSD treatment responder status over the course of intensive outpatient treatment. These findings demonstrate that peripherally assessed biomarkers are associated with PTSD severity and likelihood of successful treatment outcome of PE delivered daily over two weeks. These assessments could be used to determine which patients are likely to respond to treatment and which patients require augmentation to increase the likelihood of optimal response to PTSD treatment.