Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F22%3A00077781" target="_blank" >RIV/00159816:_____/22:00077781 - isvavai.cz</a>

Výsledek na webu

<a href="https://academic.oup.com/braincomms/article/4/3/fcac151/6604800?login=true" target="_blank" >https://academic.oup.com/braincomms/article/4/3/fcac151/6604800?login=true</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/braincomms/fcac151" target="_blank" >10.1093/braincomms/fcac151</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom

Popis výsledku v původním jazyce

In drug-resistant focal epilepsy, interictal high-frequency oscillations (HFOs) 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 data sets. 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 centres. In this study, we combine retrospectively collected data sets from nine independent epilepsy centres. The analysis is blinded to clinical outcome. We use iEEG recordings during NREM sleep with a minimum of 12 epochs of 5 min 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&apos;s HFO rates over several data epochs within and between nights. Patients with temporal consistency &lt;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 &gt;= 2 years follow-up. Applying a previously validated algorithm to a large cohort from several independent epilepsy centres may advance the clinical relevance and the generalizability of HFO analysis as essential next step for use of HFO in clinical practice. High-frequency oscillations (HFOs) have long been discussed as biomarkers for epileptogenic tissue. Dimakopoulos et al. propose a prospective multicentre study to validate whether HFOs in intracranial EEG recorded during sleep may serve to predict the seizure outcome after epilepsy surgery.

Název v anglickém jazyce

Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom

Popis výsledku anglicky

In drug-resistant focal epilepsy, interictal high-frequency oscillations (HFOs) 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 data sets. 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 centres. In this study, we combine retrospectively collected data sets from nine independent epilepsy centres. The analysis is blinded to clinical outcome. We use iEEG recordings during NREM sleep with a minimum of 12 epochs of 5 min 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&apos;s HFO rates over several data epochs within and between nights. Patients with temporal consistency &lt;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 &gt;= 2 years follow-up. Applying a previously validated algorithm to a large cohort from several independent epilepsy centres may advance the clinical relevance and the generalizability of HFO analysis as essential next step for use of HFO in clinical practice. High-frequency oscillations (HFOs) have long been discussed as biomarkers for epileptogenic tissue. Dimakopoulos et al. propose a prospective multicentre study to validate whether HFOs in intracranial EEG recorded during sleep may serve to predict the seizure outcome after epilepsy surgery.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30210 - Clinical neurology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

BRAIN COMMUNICATIONS

ISSN

2632-1297

e-ISSN

2632-1297

Svazek periodika

4

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

nestrankovano

Kód UT WoS článku

000816825400001

EID výsledku v databázi Scopus

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