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Abstract #1526

Altered Large-Scale Brain Networks in Mesial Temporal Lobe Epilepsy Based on Dynamic Causal Modeling

Alireza Fallahi1, Fatemeh Salimi2, Fatemeh Eyvazi3, Narges Hosseini Tabatabaei4, Mohammad-Reza Ay2, and Mohammad-Reza Nazem-Zadeh2
1Shahed University, Tehran, Iran (Islamic Republic of), 2Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Institute for cognitive science studies, Shahid Beheshti University, Tehran, Iran (Islamic Republic of), 4Brain and Spinal Cord Injury Research Centre, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of)

In this study, dynamic causal modeling (DCM) was applied to resting state fMRI data of mesial temporal lobe epilepsy (mTLE) patients to determine the directional alternations in effective connectivity in large scale brain networks. We hypothesized that mTLE alters the functional connectivity in both temporal and extra-temporal functional brain networks. We further hypothesized that the altered connectivity is directional (The direction between two network nodes matters). The results showed significantly different effective connectivity in default mode, limbic and salience networks.

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