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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