Meeting Banner
Abstract #5542

Functional Connectivity-Based Classification of Gulf War Illness Patients vs Control Veterans

Unal "Zak" Sakoglu1, Mounika Galla1, Bruce Crosson2,3, Robert Haley4, and Kaundinya Gopinath5

1Computer Engineering, University of Houston - Clear Lake, Houston, TX, United States, 2VA RR&D Center of Excellence, Atlanta VAMC, Decatur, GA, United States, 3Neurology, Emory University, Atlanta, GA, United States, 4Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, 5Radiology, Emory University, Atlanta, GA, United States

Around 200,000 veterans suffer from Gulf War Illness (GWI). GWI is characterized by multiple deficits in cognitive, emotion, somatosensory and pain domains. In this study we studied 23 GWI patients and 30 age-matched controls with resting state fMRI in order to classify patients versus controls using functional connectivity among brain networks. Results show that different brain networks have discriminating power, signaling widespread impairments in functional connectivity of visual, semantic, multi-sensory, and sensory-motor processing networks in GWI consistent with multi-symptom nature of the illness.

This abstract and the presentation materials are available to members only; a login is required.

Join Here