| Literature DB >> 31501011 |
Claudio Babiloni1, Robert J Barry2, Erol Başar3, Katarzyna J Blinowska4, Andrzej Cichocki5, Wilhelmus H I M Drinkenburg6, Wolfgang Klimesch7, Robert T Knight8, Fernando Lopes da Silva9, Paul Nunez10, Robert Oostenveld11, Jaeseung Jeong12, Roberto Pascual-Marqui13, Pedro Valdes-Sosa14, Mark Hallett15.
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.Entities:
Keywords: Clinical neurophysiology; EEG biomarkers; Frequency and topographical analysis; Functional connectivity; Linear and nonlinear analysis; Quantitative Electroencephalography (qEEG); Resting state condition; Source localization and estimation
Mesh:
Year: 2019 PMID: 31501011 DOI: 10.1016/j.clinph.2019.06.234
Source DB: PubMed Journal: Clin Neurophysiol ISSN: 1388-2457 Impact factor: 3.708