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Post-traumatic Stress Disorder symptom sub-cluster severity predicts gray matter volume changes better than overall symptom severity

Azma, S.; Thompson, R.; Bermudez, D.; Renton, R.; Adeyemo, A.; Meyerhoff, J.; Amdur, R.; Green, B.; Dutton, M. A.; VanMeter, J. W.

2022-07-29 radiology and imaging
10.1101/2022.07.26.22278078 medRxiv
Show abstract

Meta-analysis shows that sub-clusters defined by affected domains of psychosocial functioning capture PTSD subtypes better than symptom clusters defined in the DSM-IV. This pilot study investigated the association between symptom sub-clusters and brain volume in twelve persons with PTSD (females, mean age 40.9 years). Structural magnetic resonance imaging (MRI) images were acquired, and voxel-based morphometry (VBM) was used to estimate local gray matter volume throughout the brain. Participants gray matter volume was correlated with both overall PTSD severity and sub-cluster severities. In this preliminary study examining sub-clusters and brain morphometry, we found that neuronal changes associated with sub-clusters may provide a more complete understanding of the neuroanatomical changes that occur in PTSD beyond what can be ascertained using overall disorder severity or comparisons with control subjects. The results of our study suggest that the neurobiological changes resulting from severe trauma depend on the specific sub-clusters of symptoms experienced by individuals with PTSD.

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