Progress and remaining challenges in the application of high frequency oscillations as biomarkers of epileptic brain

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F17%3A00070375" target="_blank" >RIV/00159816:_____/17:00070375 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2468451117300521?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2468451117300521?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cobme.2017.09.006" target="_blank" >10.1016/j.cobme.2017.09.006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Progress and remaining challenges in the application of high frequency oscillations as biomarkers of epileptic brain

Popis výsledku v původním jazyce

High-frequency oscillations (HFOs: 30-2000 Hz) have been proposed as biomarkers of physiological and pathological brain processes. The majority of the results in human epilepsy have focused on HFOs recorded in the high gamma (65-100 Hz), ripple (100-250 Hz), and fast ripple (250-600 Hz) frequency. Visual detection of HFOs is laborious and limited by poor inter-rater agreement; and the need for accurate, reproducible automated HFOs detection is well recognized. In particular, the clinical translation of HFOs as a biomarker of epileptogenic brain has been limited by the ability to reliably detect and accurately classify HFOs as physiological or pathological. Despite these challenges, there has been significant progress in the field, which is the subject of this review. Here we provide an objective review of the literature and provide data and computer code for detectors in an effort to promote reproducible research and accelerate clinical translation.

Název v anglickém jazyce

Progress and remaining challenges in the application of high frequency oscillations as biomarkers of epileptic brain

Popis výsledku anglicky

High-frequency oscillations (HFOs: 30-2000 Hz) have been proposed as biomarkers of physiological and pathological brain processes. The majority of the results in human epilepsy have focused on HFOs recorded in the high gamma (65-100 Hz), ripple (100-250 Hz), and fast ripple (250-600 Hz) frequency. Visual detection of HFOs is laborious and limited by poor inter-rater agreement; and the need for accurate, reproducible automated HFOs detection is well recognized. In particular, the clinical translation of HFOs as a biomarker of epileptogenic brain has been limited by the ability to reliably detect and accurately classify HFOs as physiological or pathological. Despite these challenges, there has been significant progress in the field, which is the subject of this review. Here we provide an objective review of the literature and provide data and computer code for detectors in an effort to promote reproducible research and accelerate clinical translation.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])

Projekt

<a href="/cs/project/ED1.100%2F02%2F0123" target="_blank" >ED1.100/02/0123: Fakultní nemocnice u sv. Anny v Brně - Mezinárodní centrum klinického výzkumu (FNUSA - ICRC)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Current Opinion in Biomedical Engineering

ISSN

2468-4511

e-ISSN

—

Svazek periodika

2017

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

87-96

Kód UT WoS článku

000655211300012

EID výsledku v databázi Scopus

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