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International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies.

Authors :
Babiloni, Claudio
Barry, Robert J.
Başar, Erol
Blinowska, Katarzyna J.
Cichocki, Andrzej
Drinkenburg, Wilhelmus H.I.M.
Klimesch, Wolfgang
Knight, Robert T.
Lopes da Silva, Fernando
Nunez, Paul
Oostenveld, Robert
Jeong, Jaeseung
Pascual-Marqui, Roberto
Valdes-Sosa, Pedro
Hallett, Mark
Source :
Clinical Neurophysiology. Jan2020, Vol. 131 Issue 1, p285-307. 23p.
Publication Year :
2020

Abstract

• An IFCN Workgroup supplies recommendations on EEG frequency and topographical analysis for research. • EEG recording, visualization, and extraction/interpretation best features are proposed. • Pros and cons for clinical research of those features are discussed in light of controversies. In 1999, the International Federation of Clinical Neurophysiology (IFCN) published "IFCN Guidelines for topographic and frequency analysis of EEGs and EPs" (Nuwer et al., 1999). Here a Workgroup of IFCN experts presents unanimous recommendations on the following procedures relevant for the topographic and frequency analysis of resting state EEGs (rsEEGs) in clinical research defined as neurophysiological experimental studies carried out in neurological and psychiatric patients: (1) recording of rsEEGs (environmental conditions and instructions to participants; montage of the EEG electrodes; recording settings); (2) digital storage of rsEEG and control data; (3) computerized visualization of rsEEGs and control data (identification of artifacts and neuropathological rsEEG waveforms); (4) extraction of "synchronization" features based on frequency analysis (band-pass filtering and computation of rsEEG amplitude/power density spectrum); (5) extraction of "connectivity" features based on frequency analysis (linear and nonlinear measures); (6) extraction of "topographic" features (topographic mapping; cortical source mapping; estimation of scalp current density and dura surface potential; cortical connectivity mapping), and (7) statistical analysis and neurophysiological interpretation of those rsEEG features. As core outcomes, the IFCN Workgroup endorsed the use of the most promising "synchronization" and "connectivity" features for clinical research, carefully considering the limitations discussed in this paper. The Workgroup also encourages more experimental (i.e. simulation studies) and clinical research within international initiatives (i.e., shared software platforms and databases) facing the open controversies about electrode montages and linear vs. nonlinear and electrode vs. source levels of those analyses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13882457
Volume :
131
Issue :
1
Database :
Academic Search Index
Journal :
Clinical Neurophysiology
Publication Type :
Academic Journal
Accession number :
141117619
Full Text :
https://doi.org/10.1016/j.clinph.2019.06.234