Meeting Banner
Abstract #1933

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)

Synopsis

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords