Graph theory-based analysis reveals neural anatomical network alterations in chronic post-traumatic stress disorder
Chuan Huang1,2, Thomas Hagan3, Minos Kritikos4
1Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States.
Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
Summary
Brain network analysis reveals altered anatomical connectivity in individuals with Post-Traumatic Stress Disorder (PTSD). This study highlights differences in weighted characteristics path length (wCPL) in World Trade Center responders with chronic PTSD.
Area of Science:
- Neuroimaging
- Network Neuroscience
- Psychiatry
Background:
- Post-Traumatic Stress Disorder (PTSD) is a debilitating condition influenced by neuropathology.
- Network connectivity techniques offer insights into brain alterations in PTSD.
Purpose of the Study:
- To investigate anatomical brain network differences in World Trade Center (WTC) responders with chronic PTSD.
- To examine the relationship between network alterations and PTSD symptom severity.
Main Methods:
- Diffusion tensor neuroimaging and graph theory were used to analyze brain connectivity.
- Weighted characteristics path length (wCPL) was calculated as a measure of neuroanatomical distance.
Main Results:
- A significant difference in wCPL was found between WTC responders with and without PTSD.
- wCPL was higher in individuals with PTSD and correlated with symptom severity.
- These findings were independent of WTC exposure severity or duration.
Conclusions:
- Anatomical brain network alterations, specifically in wCPL, are associated with chronic PTSD.
- This study provides the largest examination to date of anatomical connectivity in PTSD.
- wCPL may serve as a neuroanatomical marker for PTSD.
