Pro-inflammatory markers are related to cortical network connectivity in women exposed to interpersonal trauma with PTSD.

Exposure to interpersonal violence affects a significant number of individuals each year and further increases the risk for developing Posttraumatic Stress Disorder (PTSD). A growing body of research suggests that immune system dysfunction, in particular elevated inflammation, may contribute to the pathophysiology of PTSD. However, few studies have examined the neurobiological correlates of inflammation in women with PTSD using resting-state fMRI. The present study explored the relationship between pro-inflammatory cytokine levels, C-reactive protein (CRP), tumor necrosis factor alpha TNF-alpha), and interleukin-6 (IL-6), and resting-state functional connectivity patterns in three major cortical networks (default mode network (DMN), central executive network (CEN), and salience network (SN)) in a sample of women (N=18) exposed to interpersonal violence with PTSD. Results indicated that higher CRP levels were associated with stronger functional connectivity between the SN and visual areas, but weaker functional connectivity between the CEN and visual areas. These findings suggest that pro-inflammatory markers are related to connectivity of task-positive networks in women with PTSD. Further, our results provide evidence for potential neurobiological markers of inflammation in PTSD.

Posttraumatic stress symptoms, posttraumatic growth, and personality factors: A network analysis.

BACKGROUND: After experiencing a traumatic event, two possible outcomes are experiencing positive changes, such as posttraumatic growth (PTG), and/or experiencing distress in the form of posttraumatic stress symptoms (PTSS). These constructs are not mutually exclusive; those who experience PTSS may concurrently or at a later date likewise undergo PTG. Pretrauma factors, such as personality as measured by the Big Five Inventory (BFI), can interact with both PTSS and PTG. METHODS: The present study utilized Network theory to examine the interactions between PTSS, PTG, and personality in 1310 participants. Three networks were computed (PTSS, PTSS/BFI, PTSS/PTG/BFI). RESULTS: Within the PTSS network, strong negative emotions emerged as the strongest influence on the network. Again, in the PTSS and BFI network, strong negative emotions exerted the strongest overall influence in addition to bridging the PTSS and personality domains. In the network with all variables of interest, the PTG domain of new possibilities was the strongest overall influence on the network. Specific relationships between constructs were identified. LIMITATIONS: Limitations of this study include the cross-sectional design and utilization of a sub-threshold PTSD, non-treatment seeking sample. CONCLUSIONS: Overall, nuanced relationships between variables of interest were identified, informing personalized treatment and furthers our understanding of both positive and negative responses to trauma. As the primary influence across two networks, the experience of strong negative emotions appears to be central to the subjective experience of PTSD. This may indicate a need to modify present treatments for PTSD, which conceptualize PTSD as a primarily fear-based disorder.

Treatment outcome of posttraumatic stress disorder: A white matter tract analysis.

Despite the development of empirically supported treatments for posttraumatic stress disorder (PTSD), many individuals remain symptomatic following therapy or dropout prematurely. Neuroimaging studies examining PTSD treatment outcome may offer valuable insights into possible mechanisms that may impact treatment efficacy. To date, few studies of PTSD have used neuroimaging to examine symptom change following completed treatment, and most have focused on gray matter. Studies of white matter are equally important, as changes in white matter integrity (WMI) are connected to a host of detrimental outcomes. The current study examined symptom change of 21 women with PTSD as a result of interpersonal violence who received baseline diffusion tensor imaging (DTI) scans and completed 12 weeks of Cognitive Processing Therapy (CPT). After controlling for baseline PTSD severity, fractional anisotropy (FA) in the left internal capsule, posterior limb of the internal capsule, left cingulate gyrus, superior longitudinal fasciculus, and splenium of the corpus callosum was predicted by PTSD symptom change. Results contribute to understanding neural changes within therapy and may assist in predicting individual treatment response. Namely, by identifying areas potentially impacted by PTSD treatment, future studies may be able to connect the function of these white matter areas to better predict patient PTSD treatment outcome.