Posttraumatic survivor guilt is associated with white matter microstructure alterations.
Philine Rojczyk1, Johanna Seitz-Holland2, Carina Heller3
1Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany.
Journal of Affective Disorders
|June 19, 2024
Summary
Survivor guilt in male veterans with PTSD is linked to reduced white matter integrity. This contrasts with guilt over commission/omission, suggesting survivor guilt may require targeted brain health interventions.
Area of Science:
- Neuroscience
- Psychiatry
- Military Health
Background:
- Posttraumatic stress disorder (PTSD) is prevalent in military veterans.
- Posttraumatic guilt, including guilt over commission/omission and survivor guilt, is a common symptom.
- Survivor guilt involves intense distress from surviving when others did not.
Purpose of the Study:
- To investigate neuroanatomical differences in male veterans with PTSD based on guilt type.
- To compare white matter microstructure, cortical thickness, and volume between guilt groups.
Main Methods:
- Analysis of MRI data from 132 male veterans with PTSD.
- Classification of guilt into commission/omission, survivor guilt, or no guilt using the CAPS-IV.
- Comparison of fractional anisotropy (FA), cortical thickness, and volume across groups.
Main Results:
- Veterans with survivor guilt exhibited significantly lower white matter FA in major fiber bundles compared to those without guilt.
- No significant differences in white matter FA, cortical thickness, or volume were found between veterans with guilt over commission/omission and those without guilt.
Conclusions:
- Survivor guilt is associated with distinct white matter alterations in veterans with PTSD.
- These findings suggest survivor guilt may necessitate specific treatment approaches focused on brain health.
- Limitations include a cross-sectional design and an exclusively male sample, precluding causal inferences and generalizability.
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