Wavelet spectra of visual evoked potentials: Time course of delta, theta, alpha and beta bands

被引：8

作者：

Borodina, Ulyana V. ^{[1
]}

Aliev, Rubin R. ^{[2
,3
]}

机构：

[1] Yaroslavl Demidov State Univ, Yaroslavl, Russia

[2] Russian Acad Sci, Inst Theoret & Expt Biophys, Pushchino 142292, Russia

[3] Moscow Inst Phys & Technol, Dept Computat Math, Dolgoprudnyi, Russia

来源：

NEUROCOMPUTING | 2013年 / 121卷

基金：

俄罗斯基础研究基金会;

关键词：

EEG; Visual evoked potentials; ERP; Wavelet; Spectrum; EVENT-RELATED DESYNCHRONIZATION; SIGNAL ANALYSIS; BRAIN; ELECTROENCEPHALOGRAM; OSCILLATIONS; INFORMATION; COMPONENT; ERD;

D O I：

10.1016/j.neucom.2013.05.027

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We study spectral energy transformations in the electroencephalogram associated with visual evoked potentials initiated by red, green and yellow light flashes. With the aid of a complex continuous wavelet transform we show spectral energy changes to occur non-monotonically in delta, theta, alpha and beta bands. Each band has inherent energy flow patterns for 1 s after stimulation. Energy flows in alpha and beta bands are alike and differ from those in theta and delta bands. Beta band power and energy flows are small. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：551 / 555

页数：5

共 25 条

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