creators_name: Kramarenko, Alexander
creators_name: TAN, UNER
editors_name: Weinstein, Sidney
type: journalp
datestamp: 2002-05-04
lastmod: 2011-03-11 08:54:55
metadata_visibility: show
title: Validity ty of spectral analysis of evoked potentials in brain research
ispublished: pub
subjects: behav-neuro-sci
subjects: comp-neuro-sci
subjects: neuro-physio
full_text_status: public
keywords: brain, cognition, evoked potential, nonlinear system,
spectral analysis, method
abstract: The averaged electronencephologram (EEG) response of the brain to an external stimulus (evoked potential, EP) is usually subjected to spectral analysis using the fast Fourier transform (FFT), especially to discover the relation of cognitive ability to so-called brain         dynamics. There is indeed a discrepancy between these two systems, because the brain is a highly complex nonlinear system, analyzed by a linear system (FFT). We present in this work some inaccuracies that occurred when EPs are subjected to spectral analysis, using a model signal. First of all, the EP power spectra depended upon the         number of samples used for averaging; the input EP (model signal) and the output EP (from the system) seemed to be similar in forms, but they exhibited completely different spectral power curves. It was concluded that the spectral analysis of evoked responses by using FFT (linear system analysis) in relation to brain (highly complex nonlinear system) may mislead neuroscientists.  

date: 2002-04
date_type: published
publication: International Journal of Neuroscience
volume: 112
number: 4
publisher: Taylor & Francis
pagerange: 489-499
refereed: TRUE
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citation:   Kramarenko, Alexander and TAN, UNER  (2002) Validity ty of spectral analysis of evoked potentials in brain research.  [Journal (Paginated)]     
document_url: http://cogprints.org/2197/3/ALEXTAN.pdf