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

被引:48
作者
Shah, Preya [1 ,2 ]
Bernabei, John M. [1 ,2 ]
Kini, Lohith G. [1 ,2 ]
Ashourvan, Arian [1 ,2 ]
Boccanfuso, Jacqueline [2 ,3 ]
Archer, Ryan [2 ,3 ]
Oechsel, Kelly [2 ,3 ]
Das, Sandhitsu R. [3 ]
Stein, Joel M. [4 ]
Lucas, Timothy H. [5 ]
Bassett, Danielle S. [1 ,2 ,3 ,6 ,7 ]
Davis, Kathryn A. [2 ,3 ]
Litt, Brian [1 ,2 ,3 ,5 ]
机构
[1] Univ Penn, Sch Engn & Appl Sci, Dept Bioengn, Philadelphia, PA 19104 USA
[2] Univ Penn, Ctr Neuroengn & Therapeut, Philadelphia, PA 19104 USA
[3] Univ Penn, Perelman Sch Med, Dept Neurol, Philadelphia, PA 19104 USA
[4] Univ Penn, Perelman Sch Med, Dept Radiol, Philadelphia, PA 19104 USA
[5] Univ Penn, Perelman Sch Med, Dept Neurosurg, Philadelphia, PA 19104 USA
[6] Univ Pennsyhania, Sch Engn & Appl Sci, Dept Elect & Syst Engn, Philadelphia, PA 19104 USA
[7] Univ Penn, Coll Arts & Sci, Dept Phys & Astron, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院;
关键词
Epilepsy; Intracranial EEG; Functional connectivity; SEIZURE ONSET; EPILEPTOGENIC ZONE; BRAIN; NETWORKS; RECORDINGS; EEG; ELECTROCORTICOGRAPHY; RHYTHMS; SURGERY;
D O I
10.1016/j.nicl.2019.101908
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
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.
引用
收藏
页数:7
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