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Abstract #1654

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

Jing Hu1, Baxter P. Rogers2,3, Xi Wu1, Bennett Landman2,4, Adam W. Anderson2,5, Bassel Abou-Khalil6, Victoria L. Morgan2,3, and Zhaohua Ding2,4

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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