An EEGLAB plugin to analyze individual EEG alpha rhythms using the “channel reactivity-based method”

• Published in: Computer methods and programs in biomedicine Vol. 113; no. 3; pp. 853 - 861
• Main Authors: Goljahani, A, Bisiacchi, P, Sparacino, G
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ireland Ltd 01-03-2014; Elsevier
• Subjects: Alpha de-synchronization; Alpha Rhythm - physiology; Biological and medical sciences; Channel alpha frequency (CAF); Computational Biology; Computer Graphics; CRB analysis plugin; Data Interpretation, Statistical; Databases, Factual; Electrodiagnosis. Electric activity recording; Electroencephalography - statistics & numerical data; Event-related de-synchronization; Humans; Individual alpha frequency (IAF); Internal Medicine; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Nervous system; Other; Reactivity index; Software; Event-related de-synchronization; Alpha de-synchronization; Reactivity index; Individual alpha frequency (IAF); CRB analysis plugin; Channel alpha frequency (CAF); Alpha rhythm; Internet protocol; Documentation; Electroencephalography; Plug in software; Synchronization; Reactivity; Desynchronization
• ISSN: 0169-2607; 1872-7565
• DOI: 10.1016/j.cmpb.2013.12.010

Abstract A recent paper [1] proposed a new technique, termed the channel reactivity-based method (CRB), for characterizing EEG alpha rhythms using individual (IAFs) and channel (CAFs) alpha frequencies. These frequencies were obtained by identifying the frequencies at which the power of the alpha rhythms decreases. In the present study, we present a graphical interactive toolbox that can be plugged into the popular open source environment EEGLAB, making it easy to use CRB. In particular, we illustrate the major functionalities of the software and discuss the advantages of this toolbox for common EEG investigations. The CRB analysis plugin, along with extended documentation and the sample dataset utilized in this study, is freely available on the web at http://bio.dei.unipd.it/crb/.