Published At: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 8856717, pp. 628-631
Fallahi A, Nazem-Zadeh MR, Baniasad F, Lotfi N, Mirbagheri M, Mohammadi-Mobarakeh N, Tapak L, Hashemi-Fesharaki SS, Pooyan M, Mehvari-Habibabadi J.
Resting-state functional magnetic resonance imaging (rsfMRI) has described the functional architecture of the human brain in the absence of any task or stimulus. Since the functional connectivity (FC), has non-stationary nature, it is evidenced to be varying over time. Using dynamic functional connectivity, six graph theoretical characteristics were measured and compared between left and right temporal lobe epilepsy (TLE). We also obtain a trend for each characteristic in the time course of experiments. The results demonstrated that the static connectivity analysis failed to fully separate the left and right TLE patients for some characteristics, whereby the dynamic analysis has been shown capable of identifying the laterality. Furthermore, the results suggest that the temporal trend of some graph theoretical characteristics can be exploited as a novel marker for TLE laterality.