Přehled o publikaci
2025
Multicentre analysis of seizure outcome predicted by removal of high frequency oscillations
DIMAKOPOULOS, Vasileios, Jean GOTMAN, Petr KLIMES, Nicolas von ELLENRIEDER, Shi Bei TAN et. al.Basic information
Original name
Multicentre analysis of seizure outcome predicted by removal of high frequency oscillations
Authors
DIMAKOPOULOS, Vasileios, Jean GOTMAN, Petr KLIMES, Nicolas von ELLENRIEDER, Shi Bei TAN, Garnett SMITH, Stephen GLISKE, Margarita MALTSEVA, Minette Krisel MANALO, Martin PAIL, Milan BRÁZDIL, Dorien van BLOOIJS, Maryse van 't KLOOSTER, Sarah JOHNSON, Samantha LABOY, Debora LEDERGERBER, Lukas IMBACH, Christos PAPADELIS, Michael R SPERLING, Maeike ZIJLMANS, Jan CIMBÁLNÍK, Julia JACOBS, William C STACEY, Birgit FRAUSCHER and Johannes SARNTHEIN
Edition
Brain, OXFORD, OXFORD UNIV PRESS, 2025, 0006-8950
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
Organization
Lékařská fakulta – Repository – Repository
UT WoS
001449093300001
EID Scopus
2-s2.0-105004987184
Keywords in English
ripples; fast ripples; automated detection; epilepsy surgery; intracranial EEG
Links
LX22NPO5107, research and development project.
Changed: 13/6/2025 00:50, RNDr. Daniel Jakubík
Abstract
V originále
In drug-resistant focal epilepsy, planning surgical resection may involve presurgical intracranial EEG recordings (iEEG) 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. Eight international epilepsy centres recorded iEEG during the patients’ pre-surgical evaluation. 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 which 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 completely resected HFO area were more likely to achieve seizure freedom compared to those without (OR 2.61 CI [1.15-5.91], P = 0.02). Among seizure free patients, the HFO area was completely resected in 31 and was not completely resected in 43. Among patients with recurrent seizures, the HFO area was completely resected in 14 and was 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 predictor by itself (51% CI [42-59], P = 4e-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] 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 of adjusting to new datasets allowed us to validate the clinical relevance of HFOs to plan the surgical resection.