A Graph Theoretical Approach for Lateralization of Temporal Lobe Epilepsy Using Nodal Functional Connectivity
Alireza Fallahi 1, Mohammad Pooyan2, Jafar Mehvari-Habibabadi 3, Narges Hoseini Tabatabaei4, Mohammadreza Ay1,5, and Mohammad-Reza Nazem-Zadeh1,5
1Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Biomedical Engineering, Shahed University, Tehran, Iran (Islamic Republic of), 3Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran (Islamic Republic of), 4Medical School, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 5Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of)
In this study, six graph theoretical measures were identified as nodal level epileptogenicity in TLE patients using functional connectivity analysis. The aim of this study is to define brain nodes that have significant difference between left and right TLE patients using resting state functional connectivity analysis. Clustering coefficient, degree centrality, betweenness centrality, node neighbor’s degree, closeness centrality, and page rank were calculated as graph theoretical characteristics and multi-dimensional scaling (MDS) was used as a statistical method. Results of the applied method suggested significant nodes for prediction of laterality in TLE patients.
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