Functional Integrity of Resting-state Networks predicts Seizure Outcome after Anterior Temporal Lobectomy

Authors

Gaelle Doucet, Departments Of Neurosurgery And Neurology, Thomas Jefferson University, 901 Walnut Street, Philadelphia, PA 19107, USAFollow
Xiaosong He, Departments Of Neurosurgery And Neurology, Thomas Jefferson University, 901 Walnut Street, Philadelphia, PA 19107, USAFollow
Michael R. Sperling, Thomas Jefferson UniversityFollow
Ashwini Sharan MD, Thomas Jefferson UniversityFollow
Joseph I. Tracy, Department of Neurology, Thomas Jefferson UniversityFollow

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Description

Rationale

Predicting seizure outcome (SO) after anterior temporal lobectomy (ATL) is a major clinical goal. With clear evidence that even focal epilepsies disrupt large scale brain networks, resting-state functional connectivity (FC) methods have been increasingly used on a pre-surgical basis to characterize the impact of seizures on brain activity. In this project, we sought to determine whether the functional integrity of resting-state networks (RSNs) prior to surgery can discriminate between patients who obtain good versus poor seizure control after ATL.

Publication Date

12-6-2015

Keywords

Functional Integrity of Resting-state Networks predicts Seizure Outcome after Anterior Temporal Lobectomy, poster, Thomas Jefferson University

Disciplines

Medicine and Health Sciences

Comments

Poster presented at American Epilepsy Society Annual Meeting in Philadelphia PA.

Recommended Citation

Doucet, Gaelle; He, Xiaosong; Sperling, Michael R.; Sharan MD, Ashwini; and Tracy, Joseph I., "Functional Integrity of Resting-state Networks predicts Seizure Outcome after Anterior Temporal Lobectomy" (2015). Department of Neurosurgery Posters. 1.
https://jdc.jefferson.edu/neurosurgeryposters/1