An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method".
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/.
Department of Information Engineering, University of Padova, via Gradenigo 6/B, 35131 Padova, Italy. Electronic address: anahita.goljahani@dei.unipd.it.
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Goljahani
Department of General Psychology, University of Padova, via Venezia 8, 35131 Padova, Italy. Electronic address: patrizia.bisiacchi@unipd.it.
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Bisiacchi
Department of Information Engineering, University of Padova, via Gradenigo 6/B, 35131 Padova, Italy. Electronic address: gianni@dei.unipd.it.
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Sparacino
D000513:Alpha Rhythm / Q000502:physiology*; D019295:Computational Biology; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D004569:Electroencephalography / Q000706:statistics & numerical data*; D006801:Humans; D012984:Software
Alpha de-synchronization; CRB analysis plugin; Channel alpha frequency (CAF); Event-related de-synchronization; Individual alpha frequency (IAF); Reactivity index