BACKGROUND: The integrity of connections between the hippocampus and the anterior cingulate cortex (ACC) is critical for adaptive cognitive and emotional processing; these connections may be compromised in posttraumatic stress disorder (PTSD). However, there is a lack of PTSD research that combines structural and functional connectivity data, and no studies have examined whether abnormal ACC-hippocampal connectivity is associated with genetic variability, particularly for polymorphisms of a gene that has been previously associated with PTSD, FKBP5. This was the goal of the present study. METHODS: Fifty-four women with and without PTSD underwent diffusion tensor imaging and resting-state MRI. Probabilistic tractography was used to examine ACC-hippocampal structural connectivity; mean fractional anisotropy (FA) values were extracted from connectivity streamlines, which represent the cingulum bundle. Genotype data were collected for a single nucleotide polymorphism (SNP) of FKBP5, rs1360780. RESULTS: Participants with PTSD demonstrated poorer structural connectivity (lower cingulum FA) compared to traumatized controls (F1, 50 = 6.77, P < .05). An interaction of FKBP5 genotype and diagnostic group was also observed (F1, 37 = 4.52, P = .04), indicating lower cingulum FA in carriers of two risk alleles for this SNP, compared to other diagnostic and genotype groups. Carriers of two FKBP5 risk alleles also demonstrated poorer hippocampus-ACC connectivity at rest (P < .05). When cingulum FA was used a regressor in a brain-wide, seed-based regression analysis, significant associations were found between the hippocampus and dorsal regions of the ACC (P < .05). CONCLUSIONS: Individuals with PTSD demonstrated compromised structural connectivity of the hippocampus-ACC pathway. Altered hippocampus-ACC connectivity may represent a highly salient intermediate neural phenotype for PTSD.

Posttraumatic stress disorder (PTSD) has a specified precipitant (i.e., trauma), and thus, is particularly well-suited to examine risk and maintenance factors for the development of the disorder. The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM–5) alternative model of personality disorder (AMPD) is based, in part, on a dimensional trait model; previous research suggests that personality traits are related to PTSD symptoms. To date, there is little research examining this model with regard to PTSD symptoms, and such research could elucidate new strategies for identification and prevention. The present study investigates associations between AMPD traits and PTSD symptoms in a cross-sectional high-risk sample (N = 490; 100% female; 97.8% African American) and in a prospective, longitudinal sample of Level 1 trauma center patients (N = 185; 46.8% female; 72.5% African American). The Personality Inventory for DSM–5 Brief Form domains were significantly associated with PTSD total symptom severity and symptom clusters across both self-report and clinical interview measures. Personality Inventory for DSM–5 Negative Affectivity and Psychoticism emerged as significant predictors of concurrent PTSD. When prospectively predicting PTSD symptoms in the longitudinal cohort, Negative Affectivity and Psychoticism were significant predictors of PTSD symptom severity.These findings indicate how the DSM–5 AMPD pathological traits are associated with risk for stressrelated disorders cross-sectionally and prospectively

Reduced heart rate variability (HRV) in response to stress is a biomarker of emotion dysregulation (ED) and is related to posttraumatic stress disorder (PTSD), yet less is known about its role with dissociation in trauma-exposed adults. The goals of the current study were to examine unique patterns of associations between ED, dissociation, and PTSD with HRV at 15, 30, and 45 min (T1, T2, T3) following an acute psychosocial stressor task in a sample of 49 trauma-exposed, urban-dwelling Black women. Associations with baseline psychophysiology measures were also examined. ED and dissociation were assessed using self-report; PTSD was determined using a semi-structured interview. Heart rate (HR) and HRV, indexed with low frequency/high frequency (LF/HF) ratio and respiratory sinus arrhythmia (RSA), were measured with electrocardiogram recordings. ED and dissociation were positively correlated with LF/HF ratio at T3 (p < .05). There were no significant differences between individuals with PTSD versus those without PTSD in HR or HRV following acute stressor; PTSD diagnosis was related to higher HR at baseline. Latent growth modeling revealed that ED was associated with higher LF/HF ratio directly following acute stressor, while dissociation was associated with increase in LF/HF ratio over time. These findings demonstrate that ED is related to higher sympathetic reactivity for a prolonged period of time following stress exposure, while dissociation shows a delayed association with LF/HF ratio, suggesting a distinct impaired parasympathetic activation pattern exists for dissociation.

It is well-known that morphological features in the brain undergo changes due to traumatic events and associated disorders such as post-traumatic stress disorder (PTSD). However, existing approaches typically offer group-level comparisons, and there are limited predictive approaches for modeling behavioral outcomes based on brain shape features that can account for heterogeneity in PTSD, which is of paramount interest. We propose a comprehensive shape analysis framework representing brain sub-structures, such as the hippocampus, amygdala, and putamen, as parameterized surfaces and quantifying their shape differences using an elastic shape metric. Under this metric, we compute shape summaries (mean, covariance, PCA) of brain sub-structures and represent individual brain shapes by their principal scores under a shape-PCA basis. These representations are rich enough to allow visualizations of full 3D structures and help understand localized changes. In order to validate the elastic shape analysis, we use the principal components (PCs) to reconstruct the brain structures and perform further evaluation by performing a regression analysis to model PTSD and trauma severity using the brain shapes represented via PCs and in conjunction with auxiliary exposure variables. We apply our method to data from the Grady Trauma Project (GTP), where the goal is to predict clinical measures of PTSD. The framework seamlessly integrates accurate morphological features and other clinical covariates to yield superior predictive performance when modeling PTSD outcomes. Compared to vertex-wise analysis and other widely applied shape analysis methods, the elastic shape analysis approach results in considerably higher reconstruction accuracy for the brain shape and reveals significantly greater predictive power. It also helps identify local deformations in brain shapes associated with PTSD severity.

Objectives: Growing evidence of the effectiveness of mindfulness-based interventions for posttraumatic stress disorder (PTSD) warrants greater understanding of factors relevant to the relation between trait mindfulness and PTSD, such as emotion dysregulation (ED). The goal of this study was to examine associations between trait mindfulness, ED, and PTSD symptoms across two samples of trauma-exposed adults. Methods: Participants for Sample 1 (n = 39, 90% women, 100% Black) and Sample 2 (n = 60, 100% women, 87% Black) were recruited from an urban hospital in the South. Trait mindfulness, ED, and PTSD were assessed. Results: Across both samples, mindfulness and ED were significantly associated with overall PTSD severity (r = −.49 and r = −.42, ps =.001; r =.53 and r =.51, ps <.001, respectively) in the expected direction. In Sample 1, mindful nonjudgment and difficulty with emotion regulation strategies showed the strongest associations with overall PTSD severity as well as symptom clusters. In Sample 2, mindful acceptance and all ED dimensions (except non-awareness) showed strong associations with overall PTSD severity and particularly with negative cognitions and mood symptoms. In both samples, ED mediated the association between mindfulness and overall PTSD severity (Sample 1: ab = −.15, 95% CI [−.35, −.02]; Sample 2: ab = −.11, 95% CI [−.22, −.04]). Conclusions: These findings demonstrate the important role of ED in the relation between trait mindfulness and PTSD symptoms among trauma-exposed adults. They highlight the value of examining ED as a mechanism of change in mindfulness-based interventions for PTSD. Clinical Trials Registration: Sample 1: NCT03922581, April 22, 2019; NCT03938350, May 6, 2019; Sample 2: NCT02754557, April 28, 2016.

Objective: A large body of research has shown that alcohol use, drug use, aggression, and self-harm often co-occur within the same individuals, suggesting the possibility of shared etiologies. Research has yet to determine the factor structure of these dysregulated behaviors. Methods: Participants (Mage = 40.33; 74% women) completed self-report and interview-based measures of dysregulated behaviors (alcohol use, drug use, aggression, and self-harm), emotion dysregulation, maladaptive personality traits, and symptoms of DSM disorders (e.g., borderline personality disorder [BPD], depression). Results: Results showed support for a bifactor model (i.e., all indicators load on a common dysregulated behavior factor and on unique alcohol, drug, aggression, and self-harm factors), which provided a better fit to the data than other models. In line with our hypotheses, the general dysregulated behavior factor was positively associated with emotion regulation difficulties, negative affect, and BPD symptoms. Conclusions: These results have implications for several areas of psychopathology and intervention research.

There is debate about the validity of the complex posttraumatic stress disorder (CPTSD) diagnosis and whether disturbances in self-organization (DSO) in CPTSD can be differentiated from borderline personality disorder (BPD). How PTSD is defined may matter. The present study used exploratory structural equation modeling (ESEM) to replicate and extend prior work by including two models to examine how PTSD (ICD-11, DSM-5), DSO, and BPD symptoms relate. Participants (N = 470; 98.1% women; 97.7% Black) were recruited from medical clinics within an urban hospital. PTSD, CPTSD, and BPD were assessed using semi-structured interviews and trauma-related avoidance, aggressive behavior, and anxious attachment were assessed using self-report measures. ESEM models of PTSD, DSO, and BPD symptoms were run. We found a three-factor ESEM model of CPTSD (ICD-11 PTSD and DSO symptoms) and BPD symptoms best fit the data and found support for discriminant validity between factors across trauma-related avoidance, aggressive behavior, and anxious attachment. For DSM-5 PTSD, a two-factor ESEM model was best-fitting (PTSD and DSO/BPD). The findings demonstrate clear distinguishing and overlapping features of ICD-11 PTSD, CPTSD, and BPD and the necessity to consider the diagnostic structure of PTSD in determining the additive value of CPTSD as a distinct construct.

Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = −0.111 to −0.068, FDR corrected P values < 0.039) and were significantly negatively correlated with PTSS severity. After adjusting for depression symptoms, the PTSD findings in left and right LOFG remained significant. These findings indicate that cortical volumes in PTSD patients are smaller in prefrontal regulatory regions, as well as in broader emotion and sensory processing cortical regions.

Background: Although aspects of brain morphology have been associated with chronic posttraumatic stress disorder (PTSD), limited work has investigated multimodal patterns in brain morphology that are linked to acute posttraumatic stress severity. In the present study, we utilized multimodal magnetic resonance imaging to investigate if structural covariance networks (SCNs) assessed acutely following trauma were linked to acute posttraumatic stress severity. Methods: Structural magnetic resonance imaging data were collected around 1 month after civilian trauma exposure in 78 participants. Multimodal magnetic resonance imaging data fusion was completed to identify combinations of SCNs, termed structural covariance profiles (SCPs), related to acute posttraumatic stress severity collected at 1 month. Analyses assessed the relationship between participant SCP loadings, acute posttraumatic stress severity, the change in posttraumatic stress severity from 1 to 12 months, and depressive symptoms. Results: We identified an SCP that reflected greater gray matter properties of the anterior temporal lobe, fusiform face area, and visual cortex (i.e., the ventral visual stream) that varied curvilinearly with acute posttraumatic stress severity and the change in PTSD symptom severity from 1 to 12 months. The SCP was not associated with depressive symptoms. Conclusions: We identified combinations of multimodal SCNs that are related to variability in PTSD symptoms in the early aftermath of trauma. The identified SCNs may reflect patterns of neuroanatomical organization that provide unique insight into acute posttraumatic stress. Furthermore, these multimodal SCNs may be potential candidates for neural markers of susceptibility to both acute posttraumatic stress and the future development of PTSD.

Recreational substance use (SU) can emerge or worsen in the aftermath of psychological trauma. Anhedonia is one reason for this problematic SU. Symptoms of posttraumatic stress disorder (PTSD) that represent anhedonia (post-trauma anhedonia; PTA) have been consistently linked to SU disorders. However, no prospective studies have examined whether changes in PTA over time are associated with problematic SU in recently-traumatized people, which was the goal of this study. 165 men and women were recruited as part of a prospective PTSD study in the emergency department of a Level 1 trauma center. Clinical assessments of PTSD and SU were administered at three and six months post-trauma. Compared to participants with minimal SU at six months post-trauma, high substance users at six months post-trauma showed significant increases in PTA during the three to six month time period. This relationship was significant even after accounting for variance associated with other factors, including PTSD symptoms such as re-experiencing and hyperarousal. Participants who demonstrated increases in SU during this time also showed significant increases in PTA, unlike those who demonstrated consistently minimal/no SU during this time. These findings indicate that PTA may be a mechanism through which SU problems emerge in recently-traumatized individuals.