Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| McGill University | OTHER |
| University of Michigan | OTHER |
| University of Calgary | OTHER |
| Cook Children's Health Care System |
Not provided
Not provided
Not provided
Not provided
In drug-resistant focal epilepsy, interictal high frequency oscillations (HFO) recorded from intracranial EEG (iEEG) may provide clinical information for delineating epileptogenic brain tissue. The iEEG electrode contacts that contain HFO are hypothesized to delineate the epileptogenic zone; their resection should then lead to postsurgical seizure freedom.
We test whether our prospective definition of clinically relevant HFO is in agreement with postsurgical seizure outcome. The algorithm is fully automated and is equally applied to all datasets. The aim is to assess the reliability of the proposed detector and analysis approach.
We use an automated data-independent prospective definition of clinically relevant HFO that has been validated in data from two independent epilepsy centers. In this study, we combine retrospectively collected datasets from 9 independent epilepsy centers. The analysis is blinded to clinical outcome. We use iEEG recordings during NREM sleep with a minimum of 12 epochs of 5 minutes of NREM sleep. We automatically detect HFO in the ripple (80-250 Hz) and in the fast ripple (250-500 Hz) band. There is no manual rejection of events in this fully automated algorithm. The type of HFO that we consider clinically relevant is defined as the simultaneous occurrence of a fast-ripple and a ripple. We calculate the temporal consistency of each patient's HFO rates over several data epochs within and between nights. Patients with temporal consistency < 50% are excluded from further analysis. We determine whether all electrode contacts with high HFO rate are included in the resection volume and whether seizure freedom (ILAE 1) was achieved at ≥2 y follow-up.
Applying a previously validated algorithm to a large cohort from several independent epilepsy centers may advance the clinical relevance and the generalizability of HFO analysis as essential next step for use of HFO in clinical practice.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| HFO analysis | Diagnostic Test | We use an automated data-independent prospective definition of clinically relevant HFO that has been validated in data from two independent epilepsy centers. |
| Measure | Description | Time Frame |
|---|---|---|
| seizure freedom | ILAE grade 1 | 2 years after surgery |
| seizure recurrence | ILAE grade 2-6 | within 2 years after surgery |
Not provided
Not provided
Data as provided from the participating center
Not provided
Not provided
Not provided
Not provided
We include patients with drug-resistant focal epilepsy of all ages who 1) underwent invasive EEG recordings with subdural and/or depth electrodes as part of their pre-surgical evaluation 4, 2) underwent epilepsy surgery aiming at seizure freedom after resection of a single focus, and 3) and the postsurgical seizure outcome was determined by follow-up visits at ≥ 2 y 32. According to the International League Against Epilepsy (ILAE) Classification 3 we classify outcome into seizure freedom (ILAE 1) or recurrent seizures (ILAE 2-6). Outcome data that are assessed with the Engel scale are mapped to ILAE 1 or ILAE 2-6 respectively.
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Zurich, Neurosurgery | Zurich | Canton of Zurich | 8091 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35770134 | Result | Dimakopoulos V, Gotman J, Stacey W, von Ellenrieder N, Jacobs J, Papadelis C, Cimbalnik J, Worrell G, Sperling MR, Zijlmans M, Imbach L, Frauscher B, Sarnthein J. Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom. Brain Commun. 2022 Jun 9;4(3):fcac151. doi: 10.1093/braincomms/fcac151. eCollection 2022. | |
| 34541534 |
| Label | URL |
|---|---|
| HFO analysis: publications, algorithms and data | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000069279 | Drug Resistant Epilepsy |
| ID | Term |
|---|---|
| D004827 | Epilepsy |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
Not provided
Not provided
| OTHER |
| St. Anne's University Hospital Brno, Czech Republic | OTHER |
| Mayo Clinic | OTHER |
| Thomas Jefferson University | OTHER |
| UMC Utrecht | OTHER |
| Schweizerisches Epilepsie Zentrum | UNKNOWN |
Not provided
Not provided
Not provided
| Dimakopoulos V, Megevand P, Boran E, Momjian S, Seeck M, Vulliemoz S, Sarnthein J. Blinded study: prospectively defined high-frequency oscillations predict seizure outcome in individual patients. Brain Commun. 2021 Sep 2;3(3):fcab209. doi: 10.1093/braincomms/fcab209. eCollection 2021. |
| 29062105 | Result | Fedele T, Burnos S, Boran E, Krayenbuhl N, Hilfiker P, Grunwald T, Sarnthein J. Resection of high frequency oscillations predicts seizure outcome in the individual patient. Sci Rep. 2017 Oct 23;7(1):13836. doi: 10.1038/s41598-017-13064-1. |
| 39530262 | Derived | Dimakopoulos V, Gotman J, Klimes P, von Ellenrieder N, Tan SB, Smith G, Gliske SV, Maltseva M, Manalo MK, Pail M, Brazdil M, van Blooijs D, van 't Klooster MA, Johnson S, Laboy S, Ledergerber D, Imbach L, Papadelis C, Sperling MR, Zijlmans M, Cimbalnik J, Jacobs J, Stacey WC, Frauscher B, Sarnthein J. Multicentre analysis of seizure outcome predicted by removal of high-frequency oscillations. Brain. 2025 May 13;148(5):1769-1777. doi: 10.1093/brain/awae361. |