Abstract #2683

Graph theory-based analysis of brain diffusion data reveals network alterations in World Trade Center first responders with chronic PTSD

Daniel Suite¹, Thomas Hagan¹, Chuan Huang^1,2, Minos Kritikos³, Sean Clouston³, Megan Horton⁴, Roman Kotov⁵, Roberto G Lucchini^6,7, Evelyn J Bromet⁵, and Benjamin Luft⁸

¹Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, ²Department of Radiology, Stony Brook Medicine, Stony Brook, NY, United States, ³Program in Public Health and Department of Family, Population, and Preventative Medicine, Stony Brook Medicine, Stony Brook, NY, United States, ⁴Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York City, NY, United States, ⁵Department of Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, ⁶Environmental Health Sciences, School of Public Health, Florida International University, Miami, FL, United States, ⁷Occupational Medicine, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy, ⁸Department of Medicine, Stony Brook Medicine, Stony Brook, NY, United States

Synopsis

Keywords: Brain Connectivity, Psychiatric DisordersMany World Trade Center (WTC) responders continue to suffer from chronic Post-Traumatic Stress Disorder (PTSD). Multimodal imaging techniques have shown potential as putative markers for PTSD but still lie in the developmental stages. Network connectivity techniques are showing promise for investigating neuropathology influencing PTSD symptom maintenance and course. This work utilizes a graph theory approach with brain diffusion images to probe the network alterations in WTC responders with PTSD. We identified a significant difference in Characteristic Path Length (CPL) between responders with and without chronic PTSD.

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