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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
JT. Moyer, V. Gnatkovsky, T. Ono, J. Otáhal, J. Wagenaar, WC. Stacey, J. Noebels, A. Ikeda, K. Staley, M. de Curtis, B. Litt, AS. Galanopoulou,
Language English Country United States
Document type Journal Article, Review, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.
Grant support
NV15-33115A
MZ0
CEP Register
Digital library NLK
Full text - Article
NLK
Free Medical Journals
from 1997 to 1 year ago
Wiley Free Content
from 1997 to 4 years ago
PubMed
29105070
DOI
10.1111/epi.13909
Knihovny.cz E-resources
- MeSH
- Electroencephalography * instrumentation methods standards MeSH
- Epilepsy physiopathology MeSH
- Disease Models, Animal MeSH
- Brain physiopathology MeSH
- Advisory Committees * MeSH
- Software * standards MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
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.
Department of Neurology Baylor College of Medicine Houston Texas U S A
Department of Neurosurgery National Nagasaki Medical Center Omura Nagasaki Japan
Departments of Neurology and Biomedical Engineering University of Michigan Ann Arbor Michigan U S A
Institute of Physiology Czech Academy of Sciences Prague Czech Republic
References provided by Crossref.org
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