Abstract #1654

Characterization of structural and functional connectivity in epilepsy by integrating diffusion and functional tensor imaging

Jing Hu¹, Baxter P. Rogers^2,3, Xi Wu¹, Bennett Landman^2,4, Adam W. Anderson^2,5, Bassel Abou-Khalil⁶, Victoria L. Morgan^2,3, and Zhaohua Ding^2,4

¹Department of Computer Science, Chengdu University of Information Technology, Chengdu, People's Republic of China, ²Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, ³Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, ⁴Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States, ⁵Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, ⁶Department of Neurology, Vanderbilt University, Nashville, TN, United States

Although previous studies have tried to combine diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) in clinic studies, they only use rs-fMRI for gray matter and DTI for white matter pathways. In this study, DTI and rs-fMRI were leveraged for conjoint analysis of structural and functional connectivity in white matter. The results showed that in temporal lobe epilepsy patients, there was an increased functional fractional anisotropy in contralateral fiber bundles, which were accompanied by increases in mean diffusivity in ipsilateral bundles. This reflects complex interactions between disease evolution and compensatory adaption.

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