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
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 01, 2017
- Source ID
- 10.1111/epi.13909
Entities
People
- Akio Ikeda
- Aristea S Galanopoulou
- Brian Litt
- Jakub Otáhal
- Jason T. Moyer
- Jeffrey Noebels
- Joost Wagenaar
- Kevin Staley
- Marco De Curtis
- Tomonori Ono
- Vadym Gnatkovsky
- William C. Stacey
Organizations
- Albert Einstein College of Medicine
- Baylor College of Medicine
- Czech Science Foundation
- GSK
- Harvard Medical School
- Institute of Physiology
- Kyoto University
- National Institute of Neurological Disorders and Stroke
- National Institutes of Health
- Otsuka Pharmaceutical
- United States Department of Defense
- University of Michigan
- University of Pennsylvania