Microstructural Integrity of Hippocampal-Posterior Cortical White Matter Is Associated With Phenomenological
Steven J Granger1, Boyu Ren2, Kevin J Clancy1
1Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Background:
Trauma-related intrusive memories (TR-IMs) are spontaneous and emotionally intense sensory recollections experienced as occurring in the here and now and a core feature of posttraumatic stress disorder (PTSD). Although central to symptom burden, the neurobiological substrates of specific phenomenological properties of TR-IMs remain poorly understood. Prior work has linked dynamic hippocampus (HPC) coactivation with default mode and visual networks to TR-IM properties, but whether structural connectivity tracks with these properties is unknown.
Methods:
In 114 symptomatic trauma-exposed adults (87 female), 2 weeks of ecological momentary assessment surveys captured TR-IM properties (intrusiveness, reliving, visual detail, vividness, emotional intensity). Diffusion-weighted imaging was used to quantify fractional anisotropy (FA) in 2 HPC-posterior cortical pathways: the parahippocampal-parietal cingulum, connecting the HPC to posterior default mode regions, and the inferior longitudinal fasciculus (ILF), linking the medial temporal regions to the visual cortex.
Results:
Bayesian models incorporating functional coactivation priors revealed that lower FA in the parahippocampal-parietal cingulum was associated with greater TR-IM intrusiveness, while lower FA in the ILF was linked to heightened reliving. Associations were strongest when weighted by prior dynamic connectivity findings in this sample.
Conclusions:
These findings suggest that separable HPC-posterior cortical white matter pathways support different TR-IM properties, with the cingulum related to their intrusiveness and the ILF with reliving. This study identifies white matter correlates of TR-IM phenomenology and demonstrates the value of integrating real-world memory sampling with anatomically informed Bayesian modeling, thereby advancing the mechanistic understanding of PTSD reexperiencing.
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