Effects of Nicotine on Emotional Reactivity in PTSD and Non-PTSD Smokers: Results of a Pilot fMRI Study

There is evidence that individuals with posttraumatic stress disorder (PTSD) may smoke in part to regulate negative affect. This pilot fMRI study examined the effects of nicotine on emotional information processing in smokers with and without PTSD. Across groups, nicotine increased brain activation in response to fearful/angry faces (compared to neutral faces) in ventral caudate. Patch x Group interactions were observed in brain regions involved in emotional and facial feature processing. These preliminary findings suggest that nicotine differentially modulates negative information processing in PTSD and non-PTSD smokers

A 3-Year Longitudinal Study Examining the Effect of Resilience on Suicidality in Veterans

This study evaluated the correlation and role of resilience and resilience factors in predicting suicidal ideation and attempts in veterans

Alcohol misuse and psychological resilience among U.S. Iraq and Afghanistan era veterans

The present study sought to investigate the longitudinal effects of psychological resilience against alcohol misuse adjusting for socio-demographic factors, trauma-related variables, and self-reported history of alcohol abuse

Homelessness and Money Mismanagement in Iraq and Afghanistan Veterans

Objectives. We examined the empirical link between money mismanagement and subsequent homelessness among veterans

The factor structure of psychiatric comorbidity among Iraq/Afghanistan-era veterans and its relationship to violence, incarceration, suicide attempts, and suicidality

The present research examined how incarceration, suicide attempts, suicidality, and difficulty controlling violence relate to the underlying factor structure of psychiatric comorbidity among a large sample of Iraq/Afghanistan-era veterans (N = 1897). Diagnostic interviews established psychiatric diagnoses; self-report measures assessed history of incarceration, difficulty controlling violence, suicide attempts, and suicidality. A 3-factor measurement model characterized by latent factors for externalizing-substance-use disorders (SUD), distress, and fear provided excellent fit to the data. Alcohol-use disorder, drug-use disorder, and nicotine dependence were indicators on the externalizing-SUD factor. Posttraumatic stress disorder and depression were indicators on the distress factor. Panic disorder, social phobia, specific phobia, and obsessive-compulsive disorder were indicators on the fear factor. Incarceration was exclusively predicted by the externalizing-SUD factor. Difficulty controlling violence, suicidality, and suicide attempts were exclusively predicted by the distress factor. Contrary to hypotheses, the path from the externalizing/SUD factor to difficulty controlling violence was not significant. Taken together, these findings suggest that the distress factor of psychiatric comorbidity is a significant risk factor for suicidality, suicide attempts, and difficulty controlling violence and could help to explain the frequent co-occurrence of these critical outcomes among returning Iraq/Afghanistan veterans

Score-based Diffusion Models in Function Space

Diffusion models have recently emerged as a powerful framework for generative modeling. They consist of a forward process that perturbs input data with Gaussian white noise and a reverse process that learns a score function to generate samples by denoising. Despite their tremendous success, they are mostly formulated on finite-dimensional spaces, e.g. Euclidean, limiting their applications to many domains where the data has a functional form such as in scientific computing and 3D geometric data analysis. In this work, we introduce a mathematically rigorous framework called Denoising Diffusion Operators (DDOs) for training diffusion models in function space. In DDOs, the forward process perturbs input functions gradually using a Gaussian process. The generative process is formulated by integrating a function-valued Langevin dynamic. Our approach requires an appropriate notion of the score for the perturbed data distribution, which we obtain by generalizing denoising score matching to function spaces that can be infinite-dimensional. We show that the corresponding discretized algorithm generates accurate samples at a fixed cost that is independent of the data resolution. We theoretically and numerically verify the applicability of our approach on a set of problems, including generating solutions to the Navier-Stokes equation viewed as the push-forward distribution of forcings from a Gaussian Random Field (GRF).Comment: 26 pages, 7 figure

Financial Well-Being and Postdeployment Adjustment Among Iraq and Afghanistan War Veterans

Research has yet to examine the relationship between financial well-being and community reintegration of veterans. To address this, we analyzed data from n=1,388 Iraq and Afghanistan War Era Veterans who completed a national survey on post-deployment adjustment. The results indicated that probable major depressive disorder, posttraumatic stress disorder, and traumatic brain injury were associated with financial difficulties. However, regardless of diagnosis, veterans who reported having money to cover basic needs were significantly less likely to have post-deployment adjustment problems such as criminal arrest, homelessness, substance abuse, suicidal behavior, and aggression. Statistical analyses also indicated that poor money management (e.g. incurring significant debt or writing bad checks) was related to maladjustment, even among veterans at higher income levels. Given these findings, efforts aimed at enhancing financial literacy and promoting meaningful employment may have promise to enhance outcomes and improve quality of life among returning veterans

Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts

IntroductionDespite a recent global decrease in suicide rates, death by suicide has increased in the United States. It is therefore imperative to identify the risk factors associated with suicide attempts to combat this growing epidemic. In this study, we aim to identify potential risk factors of suicide attempt using geospatial features in an Artificial intelligence framework.MethodsWe use iterative Random Forest, an explainable artificial intelligence method, to predict suicide attempts using data from the Million Veteran Program. This cohort incorporated 405,540 patients with 391,409 controls and 14,131 attempts. Our predictive model incorporates multiple climatic features at ZIP-code-level geospatial resolution. We additionally consider demographic features from the American Community Survey as well as the number of firearms and alcohol vendors per 10,000 people to assess the contributions of proximal environment, access to means, and restraint decrease to suicide attempts. In total 1,784 features were included in the predictive model.ResultsOur results show that geographic areas with higher concentrations of married males living with spouses are predictive of lower rates of suicide attempts, whereas geographic areas where males are more likely to live alone and to rent housing are predictive of higher rates of suicide attempts. We also identified climatic features that were associated with suicide attempt risk by age group. Additionally, we observed that firearms and alcohol vendors were associated with increased risk for suicide attempts irrespective of the age group examined, but that their effects were small in comparison to the top features.DiscussionTaken together, our findings highlight the importance of social determinants and environmental factors in understanding suicide risk among veterans

Self-report and Longitudinal Predictors of Violence in Iraq and Afghanistan War Era Veterans

This study, using a longitudinal design, attempted to identify whether self-reported problems with violence were empirically associated with future violent behavior among Iraq and Afghanistan war veterans and whether and how collateral informant interviews enhanced the risk assessment process. Data were gathered from N = 300 participants (n = 150 dyads of Iraq and Afghanistan war veterans and family/friends). The veterans completed baseline and follow-up interviews 3 years later on average, and family/friends provided collateral data on dependent measures at follow-up. Analyses showed that aggression toward others at follow-up was associated with younger age, posttraumatic stress disorder, combat exposure, and a history of having witnessed parental violence growing up. Self-reported problems controlling violence at baseline had robust statistical power in predicting aggression toward others at follow-up. Collateral report enhanced detection of dependent variables: 20% of cases positive for violence toward others would have been missed relying only on self-report. The results identify a subset of Iraq and Afghanistan war veterans at higher risk for problematic postdeployment adjustment and indicate that the veterans' self-report of violence was useful in predicting future aggression. Underreporting of violence was not evidenced by most veterans but could be improved upon by obtaining collateral information

Portfolio Vol. I N 2

Wiley, Thomas R. In the Cathedral, Mexico City . Picture. 2. Whitehead, Richard Jr. Izzy was a Lady, After All . Prose. 3. Beckham, Adela. Rain on a March morning . Poem. 6. Beckham, Adela. Heaven . Poem. 6. Deane, Dorothy. Temptation . Poem. 6. Kellogg, Elizabeth. Gruess Dich Gott . Prose. 7. Nadel, Norman. The Duchess . Poem. 8. Dick, Pewilla. The Sligo Fisherman . Prose. 9. Deane, Dorothy. Against the Winter . Poem 12. Flory, Doris Jean. A problem . Poem 12. Travis, Paul Bough. My First View of the Congo Forest . Picture. 13. Bellows, George. Stag at Sharkey\u27s . Picture. 13. B.C.W. Aspiration . Poem. 14. Stewart, John. On Record . Prose 14. Sweitzer, Harry J. Playing Around . Prose. 15. Ellsberg, Edward. Book Parade: Hell on Ice . Prose. 15. B.C.W. End of Winter . Poem. 16. Wiley, Thomas R. End of Winter . Picture. 16. Deeter, Robert. Television, How, Where, and When . Prose. 17. Brush, Jane. Love A La Mode . Poem. 20. Brush, Jane. Radio! . Poem. 20. Brush, Jane. Backward Glance . Poem. 20. Brush, Jane. Homo Paradoxus . Poem. 20. Brush, Jane. The Sardonic Slant . Poem. 20. Brush, Jane. Baths . Prose. 20. Wilson, Gordon. Brushword . Cartoon. 20