NeuroImage ClinicalNeurosciencePeer-reviewed journal article
High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients
Preya ShahiD, John M. BernabeiiD, Lohith G. KiniiD, Arian AshourvaniD, Jacqueline B Boccanfuso, Ryan ArcheriD, Kelly F. OechseliD, Sandhitsu R. DasiD, Joel M. SteiniD, Timothy H. Lucas, Danielle S. BassettiD, Kathryn A. DavisiD, Brian LittiD
Abstract
ObjectivePatients 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.\n\nMethodsWe 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. 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 associate these metrics with post-surgical outcomes.\n\nResultsGreater 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.\n\nConclusionsThis 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.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 61
- FWCI
- 5.37
- Field percentile
- top 4%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The Interictal Suppression Hypothesis in Focal Epilepsy: Electrographic and Structural Evaluation
Graham Walter Johnson, Derek J. Doss, … Dario J. Englot·bioRxiv·Jun 27, 2022
- Source-sink connectivity: A novel interictal EEG marker for seizure localization
K. M. Gunnarsdottir, A. Li, … S. V. Sarma·bioRxiv·Oct 15, 2021
- Using Network Analysis to Localize the Epileptogenic Zone from Invasive EEG Recordings in Intractable Focal Epilepsy
Adam Li, Bhaskar Chennuri, … Jorge Alvaro Gonzalez-Martinez·Network NeurosciencePeer-reviewed·Feb 23, 2018
- How sensitive is functional connectivity to electrode resampling on intracranial EEG? Implications for personalized network models in drug-resistant epilepsy
E. C. Conrad, J. M. Bernabei, … B. Litt·bioRxiv·Jul 9, 2019
- Collapse of Interictal Suppressive Networks Permits Seizure Spread
Ghassan S. Makhoul, Derek J. Doss, … Dario J. Englot·BrainPeer-reviewed·Jun 5, 2025
- Intracranial interictal functional networks predict the effect of subacute cortical stimulation in focal epilepsy
Yujiang Wang, Peter N. Taylor, … Diego Jiménez‐Jiménez·bioRxiv·Mar 23, 2018