Brain Structural Covariance Network Topology in Remitted Posttraumatic Stress Disorder

Sun, Delin; Davis, S. Lindsey; Haswell, Courtney C.; Swanson, Chelsea; Workgroup, Mid-Atlantic Mirecc; LaBar, Kevin S.; Fairbank, John A.; Morey, Rajendra A.

doi:10.3389/fpsyt.2018.00090

Cited by 15 publications

(12 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequently, age, age 2 , sex, site and mean whole-brain CT or SA estimates were regressed from the CT and SA estimates with a linear model (He et al, 2007) as explained in supplementary section 2.2.5. We performed SCN analyses by representing brain regions as nodes and CT/SA correlation coefficients as edges (He & Evans, 2010; Rubinov & Sporns, 2010a; Sun, Haswell, et al, 2018). Positive and negative coefficients were used to generate separate networks.…”

Section: Resultsmentioning

confidence: 99%

“…Thus far, meta-analyses of structural neuroimaging in PTSD have applied voxel-based morphometry (VBM) and volume estimates of cortical regions to reveal gray matter volume differences in anterior cingulate cortex, insula, medial and ventromedial prefrontal cortex, orbitofrontal cortex, left temporal pole, rostral middle frontal gyrus, and superior frontal gyrus (Kuhn & Gallinat, 2013; Meng et al, 2016). However, there has been sparse literature on SCN in PTSD, consisting of two studies in adults with PTSD (Mueller et al, 2015; Sun, Davis, et al, 2018), two studies examining SCN in children or youth with PTSD (Sun, Haswell, et al, 2018; Sun, Peverill, et al, 2018), one study focused on SCN derived from diffusion tensor imaging (DTI) measures (Long et al, 2013), and finally one longitudinal study focused on SCN features predicting symptom onset following acute exposure to trauma (Harnett NG, Available online 7 August 2020). Findings were not consistent across studies, areas highlighted included bilateral anterior cingulate, bilateral superior frontal gyrus, right insula and occipital cortex.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, drawing robust inferences from a high-dimensional feature space containing 148 cortical regions (Destrieux Atlas) requires a sample size that is larger than the number of features. Furthermore, each of the published studies have focused on specific types of trauma and/or populations such as military (Mueller et al, 2015), motor vehicle crash (Harnett NG, Available online 7 August 2020), childhood maltreatment (Sun, Haswell, et al, 2018; Sun, Peverill, et al, 2018), but there is lack of SCN results that capture the heterogeneity of trauma types commonly found in PTSD. Finally, none of these published reports in adults with PTSD examined cortical surface area derived SCNs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study

Rakesh

Logue

Clarke-Rubright

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Introduction - Cortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subject data from 29 cohorts in five countries (3439). Methods - Using Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN. Results - Notable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus. Conclusion - Unlike previous studies with smaller sample sizes (less than 318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into nodal relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study

Rakesh

Logue

Clarke-Rubright

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Brain networks involving the amygdala, hippocampus, and prefrontal cortex are also potential candidates (46). Imaging studies have shown centrality measures unique to individuals who were exposed to trauma but did not develop PTSD, as opposed to individuals who have developed PTSD after trauma exposure (104)(105)(106). Ideal studies to determine possible neural correlates of resilience would need to compare groups of individuals exposed to trauma with differential trajectories of PTSD development (45).…”

Section: Potential Translational Biomarkers Of Resilience In Clinical Trialsmentioning

confidence: 99%

Resilience as a translational endpoint in the treatment of PTSD

et al. 2019

Self Cite

View full text Add to dashboard Cite

Resilience is a neurobiological entity that shapes an individual's response to trauma. Resilience has been implicated as the principal mediator in the development of mental illness following exposure to trauma. Although animal models have traditionally defined resilience as molecular and behavioral changes in stress responsive circuits following trauma, this concept needs to be further clarified for both research and clinical use. Here, we analyze the construct of resilience from a translational perspective and review optimal measurement methods and models. We also seek to distinguish between resilience, stress vulnerability, and posttraumatic growth. We propose that resilience can be quantified as a multifactorial determinant of physiological parameters, epigenetic modulators, and neurobiological candidate markers. This multifactorial definition can determine PTSD risk before and after trauma exposure. From this perspective, we propose the use of an 'R Factor' analogous to Spearman's g factor for intelligence to denote these multifactorial determinants. In addition, we also propose a novel concept called 'resilience reserve', analogous to Stern's cognitive reserve, to summarize the sum total of physiological processes that protect and compensate for the effect of trauma. We propose the development and application of challenge tasks to measure 'resilience reserve' and guide the assessment and monitoring of 'R Factor' as a biomarker for PTSD. Rakesh et al.

show abstract

“…Focusing on MIES scores in 26 post-9/11 veterans seeking care at a US. Veterans Affairs (VA) medical centre, neuroimaging findings (spontaneous resting-state brain fluctuations and functional connectivity) revealed dissociable neural underpinnings and behaviourally distinct components of morally injurious events and PTSD symptomatology (Sun et al, 2018 ). Notably, extant MI measures assess either exposure to morally injurious events or related symptoms, with a couple exceptions.…”

Section: Introductionmentioning

confidence: 99%

Moral injury in civilians: associations with trauma exposure, PTSD, and suicide behavior

Fani

Currier

Turner

et al. 2021

European Journal of Psychotraumatology

View full text Add to dashboard Cite

Background Moral injury (MI) describes emotional, spiritual, and social suffering that can arise following psychological trauma. Prior research in military pop ulations indicates the relevance of MI to adverse psychological outcomes, such as post-traumatic stress disorder (PTSD) and suicidal behaviours, and shows evidence for MI as a unique construct. Minimal studies of MI have been implemented in civilians, usually restricted to small samples with a specific set of traumatic experiences, despite the conceptual relevance of MI to non-military trauma reactions more broadly (e.g. feelings of betrayal towards a perpetrator of sexual abuse). Objective To address this problem, we assessed MI in trauma-exposed civilians to examine ways in which this construct was related to and distinct from trauma and traumatic stress-related problems, including PTSD and depression. Method We adapted an existing MI scale, Moral Injury Events Scale (MIES) and administered this measure to 81 men and women along with measures of trauma exposure, PTSD and depression, and also asked participants about past suicide attempts. Results We observed that both greater exposure and distress related to potentially morally injurious events were associated with higher trauma exposure, particularly childhood maltreatment, as well as post-traumatic and depressive psychopathology. However, even after accounting for current PTSD and depression symptoms, MI exposure (F = 6.05, p = .017) was significantly higher among participants who had previously attempted suicide. Conclusions These pilot data reveal the ways in which MI is associated with trauma exposure, PTSD and depression and highlight the salience of MI in civilians. Similarly, these data demonstrate the unique relevance of MI to suicide behaviours, independent of post-traumatic psychopathology, indicating that this construct may be an understudied contributor to suicide risk in civilians.

show abstract

Brain Structural Covariance Network Topology in Remitted Posttraumatic Stress Disorder

Cited by 15 publications

References 78 publications

Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study

Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study

Resilience as a translational endpoint in the treatment of PTSD

Moral injury in civilians: associations with trauma exposure, PTSD, and suicide behavior

Contact Info

Product

Resources

About