Multicentre analysis of seizure outcome predicted by removal of high frequency oscillations

Investor logo

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Medicine. Official publication website can be found on muni.cz.
Authors

DIMAKOPOULOS Vasileios GOTMAN Jean KLIMES Petr ELLENRIEDER Nicolas von TAN Shi Bei SMITH Garnett GLISKE Stephen MALTSEVA Margarita MANALO Minette Krisel PAIL Martin BRÁZDIL Milan BLOOIJS Dorien van KLOOSTER Maryse van 't JOHNSON Sarah LABOY Samantha LEDERGERBER Debora IMBACH Lukas PAPADELIS Christos SPERLING Michael R ZIJLMANS Maeike CIMBÁLNÍK Jan JACOBS Julia STACEY William C FRAUSCHER Birgit SARNTHEIN Johannes

Year of publication 2025
Type Article in Periodical
Magazine / Source Brain
MU Faculty or unit

Faculty of Medicine

Citation
web https://academic.oup.com/brain/advance-article/doi/10.1093/brain/awae361/7891549
Doi http://dx.doi.org/10.1093/brain/awae361
Keywords ripples; fast ripples; automated detection; epilepsy surgery; intracranial EEG
Attached files
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.