Wavelet analysis of oddball P300

doi:10.1016/S0167-8760(00)00143-4

International Journal of Psychophysiology

Volume 39, Issues 2–3, January 2001, Pages 221-227

https://doi.org/10.1016/S0167-8760(00)00143-4 Get rights and content

Abstract

The comparative wavelet analysis presented in details by Demiralp et al., 1999, Ademoglu, 1995 and by Başar et al. (2001) will be now applied to oddball P300 results (see Başar-Eroglu et al., 2001). The results obtained basically confirm those obtained by using adaptive digital filtering: The delta response dominates the P300 potential while the theta response is prolonged in a second late window.

Introduction

The comparative wavelet analysis presented in details by Demiralp et al. (1999), Ademoglu (1999) and by Başar et al. (2001) will be now applied to the oddball P300 results presented by Başar-Eroglu et al. (2001). Since the application of the wavelet analysis is very pertinent to dynamic approach of brain signals we treat preliminary results that basically confirm the results obtained by application of the adaptive digital filtering methods: the delta response dominates the P300 potential. In contrast, the theta response is prolonged (in a second late window).

Section snippets

Methods and results

The application of a five-octave wavelet transform on the data yielded five sets of coefficients in the 63–125-Hz, 31–62-Hz (gamma), 16–30-Hz (beta), 8–15-Hz (alpha) and 4–7-Hz (theta) frequency ranges and the residues in the 0.5–4-Hz frequency band. Each octave contained the number of coefficients which is appropriate to display the relevant time resolution for that frequency range (Fig. 1, left column). The interpolation of the coefficients by the spline functions can be used to visualize the

A functional interpretation

Polich and Kok (1995) emphasize that, although the explanations of the P300 center around the basic information processing mechanisms of attention allocation and immediate memory, a substantial portion of P300 variation appears to be caused by factors not only related to alterations of the task structure but also fluctuations in the arousal state of the subject. The studied factors affecting the biological state are mostly of tonic nature such as the usage of certain drugs, sleep deprivation,

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Wavelet analysis of oddball P300

Abstract

Introduction

Section snippets

Methods and results

A functional interpretation

Int. J. Psychophysiol.

Int. J. Psychophysiol.

Int. J. Psychophysiol.

Brain Lang.

Biol. Psychiatry

Electroencephalogr. Clin. Neurophysiol.

Biol. Psychol.