Standards for data acquisition and software-based analysis of in vivo electroencephalography recordings from animals. A TASK1-WG5 report of the AES/ILAE Translational Task Force of the ILAE

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F17%3A00488659" target="_blank" >RIV/67985823:_____/17:00488659 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1111/epi.13909" target="_blank" >http://dx.doi.org/10.1111/epi.13909</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/epi.13909" target="_blank" >10.1111/epi.13909</a>

Result language

angličtina

Original language name

Standards for data acquisition and software-based analysis of in vivo electroencephalography recordings from animals. A TASK1-WG5 report of the AES/ILAE Translational Task Force of the ILAE

Original language description

Electroencephalography (EEG)—the direct recording of the electrical activity of populations of neurons—is a tremendously important tool for diagnosing, treating, and researching epilepsy. Although standard procedures for recording and analyzing human EEG exist and are broadly accepted, there are no such standards for research in animal models of seizures and epilepsy—recording montages, acquisition systems, and processing algorithms may differ substantially among investigators and laboratories. The lack of standard procedures for acquiring and analyzing EEG from animal models of epilepsy hinders the interpretation of experimental results and reduces the ability of the scientific community to efficiently translate new experimental findings into clinical practice. Accordingly, the intention of this report is twofold: (1) to review current techniques for the collection and software‐based analysis of neural field recordings in animal models of epilepsy, and (2) to offer pertinent standards and reporting guidelines for this research. Specifically, we review current techniques for signal acquisition, signal conditioning, signal processing, data storage, and data sharing, and include applicable recommendations to standardize collection and reporting. We close with a discussion of challenges and future opportunities, and include a supplemental report of currently available acquisition systems and analysis tools. This work represents a collaboration on behalf of the American Epilepsy Society/International League Against Epilepsy (AES/ILAE) Translational Task Force (TASK1‐Workgroup 5), and is part of a larger effort to harmonize video‐EEG interpretation and analysis methods across studies using in vivo and in vitro seizure and epilepsy models.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2017

Confidentiality

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

Name of the periodical

Epilepsia

ISSN

0013-9580

e-ISSN

—

Volume of the periodical

58

Issue of the periodical within the volume

Suppl.4

Country of publishing house

US - UNITED STATES

Number of pages

15

Pages from-to

53-67

UT code for WoS article

000414511200005

EID of the result in the Scopus database

2-s2.0-85033373326