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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.
Functional Integrity of Resting-state Networks predicts Seizure Outcome after Anterior Temporal Lobectomy, poster, Thomas Jefferson University
Medicine and Health Sciences
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.