Multicentre analysis of seizure outcome predicted by removal of high-frequency oscillations
Language English Country England, Great Britain Media print
Document type Journal Article, Multicenter Study, Observational Study
Grant support
R01NS104116
NIH HHS - United States
PJT-175056
CIHR - Canada
R01NS094399
NIH HHS - United States
K12NS098482
NIH HHS - United States
R01NS134944
NIH HHS - United States
K01 ES026839
NIEHS NIH HHS - United States
R01 NS094399
NINDS NIH HHS - United States
Alexander S. Onassis Public Benefit Foundation
R01 NS134944
NINDS NIH HHS - United States
K01-ES026839
NIH HHS - United States
NU22-08-00278
Ministry of Health of the Czech Republic
803880
ERC
CEP Register
2015096
Doris Duke Foundation
K12 NS098482
NINDS NIH HHS - United States
09150172210057
VIDI
SNSF 204651
Swiss National Science Foundation - Switzerland
NEF17-07
EpilepsieNL
Universität Zürich
R01 NS104116
NINDS NIH HHS - United States
LSHM19080
Health-Holland
PubMed
39530262
PubMed Central
PMC12073983
DOI
10.1093/brain/awae361
PII: 7891549
Knihovny.cz E-resources
- Keywords
- automated detection, epilepsy surgery, fast ripples, intracranial EEG, ripples,
- MeSH
- Child MeSH
- Adult MeSH
- Electroencephalography methods MeSH
- Electrocorticography * methods MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Prospective Studies MeSH
- Drug Resistant Epilepsy * surgery physiopathology MeSH
- Treatment Outcome MeSH
- Seizures * surgery physiopathology diagnosis MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Observational Study MeSH
In drug-resistant focal epilepsy, planning surgical resection can involve presurgical intracranial EEG (iEEG) recordings to detect seizures and other iEEG patterns to improve postsurgical seizure outcome. We hypothesized that resection of tissue generating interictal high-frequency oscillations (HFOs, 80-500 Hz) in the iEEG predicts surgical outcome. In eight international epilepsy centres, iEEG was recorded during the presurgical evaluation of patients. The patients were of all ages, had epilepsy of all types, and underwent surgical resection of a single focus aiming at seizure freedom. In a prospective analysis, we applied a fully automated definition of HFO that was independent of the dataset. Using an observational cohort design that was blinded to postsurgical seizure outcome, we analysed HFO rates during non-rapid-eye-movement sleep. If channels had consistently high rates over multiple epochs, they were labelled the 'HFO area'. After HFO analysis, centres provided the electrode contacts located in the resected volume and the seizure outcome at follow-up ≥24 months after surgery. The study was registered at www.clinicaltrials.gov (NCT05332990). We received 160 iEEG datasets. In 146 datasets (91%), the HFO area could be defined. The patients with a completely resected HFO area were more likely to achieve seizure freedom in comparison to those without [odds ratio 2.61, 95% confidence interval (CI) 1.15-5.91, P = 0.02]. Among seizure-free patients, the HFO area was completely resected in 31 and not completely resected in 43. Among patients with recurrent seizures, the HFO area was completely resected in 14 and not completely resected in 58. When predicting seizure freedom, the negative predictive value of the HFO area (68%, CI 52-81) was higher than that for the resected volume as a predictor by itself (51%, CI 42-59, P = 4 × 10-5). The sensitivity and specificity for complete HFO area resection were 0.88 (CI 0.72-0.98) and 0.39 (CI 0.25-0.54), respectively, and the area under the curve was 0.83 (CI 0.58-0.97), indicating good predictive performance. In a blinded cohort study from independent epilepsy centres, applying a previously validated algorithm for HFO marking without the need for adjusting to new datasets allowed us to validate the clinical relevance of HFOs to plan the surgical resection.
Department of Biomedical Engineering University of Michigan Ann Arbor MI 48109 USA
Department of Neurology and BioInterfaces Institute University of Michigan Ann Arbor MI 48109 USA
Department of Neurology and Biomedical Engineering Duke University Durham NC 27705 USA
Department of Neurology Thomas Jefferson University Philadelphia PA 19107 USA
Department of Neurosurgery University of Nebraska Medical Center Omaha NE 68198 USA
Department of Pediatrics University of Michigan Ann Arbor MI 48109 USA
Klinik für Neurochirurgie Universitätsspital Zürich Universität Zürich 8091 Zurich Switzerland
Montreal Neurological Institute and Hospital McGill University Montreal Quebec H3A 2B4 Canada
Stichting Epilepsie Instellingen Nederland Postbus 540 2130 AM Hoofddorp The Netherlands
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ClinicalTrials.gov
NCT05332990