Academic Journal
Interictal Connectivity Revealed by Granger Analysis of Stereoelectroencephalography: Association With Ictal Onset Zone, Resection, and Outcome
العنوان: | Interictal Connectivity Revealed by Granger Analysis of Stereoelectroencephalography: Association With Ictal Onset Zone, Resection, and Outcome |
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المؤلفون: | Stone, Scellig S. D., Park, Eun-Hyoung, Bolton, Jeffrey, Harini, Chellamani, Libenson, Mark H., Rotenberg, Alexander, Takeoka, Masanori, Tsuboyama, Melissa, Pearl, Phillip L., Madsen, Joseph R. |
المصدر: | Neurosurgery ; volume 91, issue 4, page 583-589 ; ISSN 0148-396X 1524-4040 |
بيانات النشر: | Ovid Technologies (Wolters Kluwer Health) |
سنة النشر: | 2022 |
الوصف: | BACKGROUND: Stereoelectroencephalography (sEEG) facilitates electrical sampling and evaluation of complex deep-seated, dispersed, and multifocal locations. Granger causality (GC), previously used to study seizure networks using interictal data from subdural grids, may help identify the seizure-onset zone from interictal sEEG recordings. OBJECTIVE: To examine whether statistical analysis of interictal sEEG helps identify surgical target sites and whether surgical resection of highly ranked nodes correspond to favorable outcomes. METHODS: Ten minutes of extraoperative recordings from sequential patients who underwent sEEG evaluation were analyzed (n = 20). GC maps were compared with clinically defined surgical targets using rank order statistics. Outcomes of patients with focal resection/ablation with median follow-up of 3.6 years were classified as favorable (Engel 1, 2) or poor (Engel 3, 4) to assess their relationship with the removal of highly ranked nodes using the Wilcoxon rank-sum test. RESULTS: In 12 of 20 cases, the rankings of contacts (based on the sum of outward connection weights) mapped to the seizure-onset zone showed higher causal node connectivity than predicted by chance ( P ≤ .02). A very low aggregate probability ( P < 10 −18 , n = 20) suggests that causal node connectivity predicts seizure networks. In 8 of 16 with outcome data, causal connectivity in the resection was significantly greater than in the remaining contacts ( P ≤ .05). We found a significant association between favorable outcome and the presence of highly ranked nodes in the resection ( P < .05). CONCLUSION: Granger analysis can identify seizure foci from interictal sEEG and correlates highly ranked nodes with favorable outcome, potentially informing surgical decision-making without reliance on ictal recordings. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1227/neu.0000000000002079 |
الاتاحة: | http://dx.doi.org/10.1227/neu.0000000000002079 https://journals.lww.com/10.1227/neu.0000000000002079 |
رقم الانضمام: | edsbas.F181D968 |
قاعدة البيانات: | BASE |
DOI: | 10.1227/neu.0000000000002079 |
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