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. Issue 1 (January 2020)

• Record Type: Journal Article
• 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
• Is Part Of: Clinical neurophysiology. Volume 131:Issue 1(2020:Jan.)
• Page Start: 285
• Page End: 307
• Publication Date: 2020-01
• Subjects: Quantitative Electroencephalography (qEEG) -- Resting state condition -- Frequency and topographical analysis -- Source localization and estimation -- Functional connectivity -- EEG biomarkers -- Clinical neurophysiology -- Linear and nonlinear analysis; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2019.06.234
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: 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. Abstract: 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.