High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients

Patients with drug-resistant focal epilepsy are often candidates for invasive surgical therapies. In these patients, it is necessary to accurately localize seizure generators to ensure seizure freedom following intervention. While intracranial electroencephalography (iEEG) is the gold standard for m...

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Main Authors: Preya Shah, John M. Bernabei, Lohith G. Kini, Arian Ashourvan, Jacqueline Boccanfuso, Ryan Archer, Kelly Oechsel, Sandhitsu R. Das, Joel M. Stein, Timothy H. Lucas, Danielle S. Bassett, Kathryn A. Davis, Brian Litt
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S221315821930258X
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author Preya Shah
John M. Bernabei
Lohith G. Kini
Arian Ashourvan
Jacqueline Boccanfuso
Ryan Archer
Kelly Oechsel
Sandhitsu R. Das
Joel M. Stein
Timothy H. Lucas
Danielle S. Bassett
Kathryn A. Davis
Brian Litt
author_facet Preya Shah
John M. Bernabei
Lohith G. Kini
Arian Ashourvan
Jacqueline Boccanfuso
Ryan Archer
Kelly Oechsel
Sandhitsu R. Das
Joel M. Stein
Timothy H. Lucas
Danielle S. Bassett
Kathryn A. Davis
Brian Litt
author_sort Preya Shah
collection DOAJ
description Patients with drug-resistant focal epilepsy are often candidates for invasive surgical therapies. In these patients, it is necessary to accurately localize seizure generators to ensure seizure freedom following intervention. While intracranial electroencephalography (iEEG) is the gold standard for mapping networks for surgery, this approach requires inducing and recording seizures, which may cause patient morbidity. The goal of this study is to evaluate the utility of mapping interictal (non-seizure) iEEG networks to identify targets for surgical treatment. We analyze interictal iEEG recordings and neuroimaging from 27 focal epilepsy patients treated via surgical resection. We generate interictal functional networks by calculating pairwise correlation of iEEG signals across different frequency bands. Using image coregistration and segmentation, we identify electrodes falling within surgically resected tissue (i.e. the resection zone), and compute node-level and edge-level synchrony in relation to the resection zone. We further associate these metrics with post-surgical outcomes. Greater overlap between resected electrodes and highly synchronous electrodes is associated with favorable post-surgical outcomes. Additionally, good-outcome patients have significantly higher connectivity localized within the resection zone compared to those with poorer postoperative seizure control. This finding persists following normalization by a spatially-constrained null model. This study suggests that spatially-informed interictal network synchrony measures can distinguish between good and poor post-surgical outcomes. By capturing clinically-relevant information during interictal periods, our method may ultimately reduce the need for prolonged invasive implants and provide insights into the pathophysiology of an epileptic brain. We discuss next steps for translating these findings into a prospectively useful clinical tool. Keywords: Epilepsy, Intracranial EEG, Functional connectivity
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spelling doaj.art-c6c3dad978db4afe807e81463ef3c7b92022-12-21T20:08:52ZengElsevierNeuroImage: Clinical2213-15822019-01-0123High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patientsPreya Shah0John M. Bernabei1Lohith G. Kini2Arian Ashourvan3Jacqueline Boccanfuso4Ryan Archer5Kelly Oechsel6Sandhitsu R. Das7Joel M. Stein8Timothy H. Lucas9Danielle S. Bassett10Kathryn A. Davis11Brian Litt12Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Corresponding author at: Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USACenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USACenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USACenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA 19104, USACenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USAPatients with drug-resistant focal epilepsy are often candidates for invasive surgical therapies. In these patients, it is necessary to accurately localize seizure generators to ensure seizure freedom following intervention. While intracranial electroencephalography (iEEG) is the gold standard for mapping networks for surgery, this approach requires inducing and recording seizures, which may cause patient morbidity. The goal of this study is to evaluate the utility of mapping interictal (non-seizure) iEEG networks to identify targets for surgical treatment. We analyze interictal iEEG recordings and neuroimaging from 27 focal epilepsy patients treated via surgical resection. We generate interictal functional networks by calculating pairwise correlation of iEEG signals across different frequency bands. Using image coregistration and segmentation, we identify electrodes falling within surgically resected tissue (i.e. the resection zone), and compute node-level and edge-level synchrony in relation to the resection zone. We further associate these metrics with post-surgical outcomes. Greater overlap between resected electrodes and highly synchronous electrodes is associated with favorable post-surgical outcomes. Additionally, good-outcome patients have significantly higher connectivity localized within the resection zone compared to those with poorer postoperative seizure control. This finding persists following normalization by a spatially-constrained null model. This study suggests that spatially-informed interictal network synchrony measures can distinguish between good and poor post-surgical outcomes. By capturing clinically-relevant information during interictal periods, our method may ultimately reduce the need for prolonged invasive implants and provide insights into the pathophysiology of an epileptic brain. We discuss next steps for translating these findings into a prospectively useful clinical tool. Keywords: Epilepsy, Intracranial EEG, Functional connectivityhttp://www.sciencedirect.com/science/article/pii/S221315821930258X
spellingShingle Preya Shah
John M. Bernabei
Lohith G. Kini
Arian Ashourvan
Jacqueline Boccanfuso
Ryan Archer
Kelly Oechsel
Sandhitsu R. Das
Joel M. Stein
Timothy H. Lucas
Danielle S. Bassett
Kathryn A. Davis
Brian Litt
High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
NeuroImage: Clinical
title High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
title_full High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
title_fullStr High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
title_full_unstemmed High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
title_short High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
title_sort high interictal connectivity within the resection zone is associated with favorable post surgical outcomes in focal epilepsy patients
url http://www.sciencedirect.com/science/article/pii/S221315821930258X
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