Comparing the Features of the Diffuse Alpha Pattern with the Normal Alpha Pattern using Wavelet-crosscorrelation Analysis

IF 0.4 Q4 ENGINEERING, INDUSTRIAL

International Journal of Affective Engineering Pub Date : 2020-01-01 DOI:10.5057/ijae.ijae-d-18-00034

S. M. Carpels, Yuji Inoguchi, Shohei Kobayashi, Ayumi Muramatsu, Yusuke Yamamoto, Masato Ito, Y. Mizuno-Matsumoto

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引用次数: 1

Abstract

: In some individuals, alpha waves appear in many regions of the brain, and this is considered abnormal electroencephalography (EEG). This phenomenon is known as diffuse alpha pattern. This study aims to extract and compare the features of the connectivity between the parts of the brain. The EEGs of healthy individuals and mental disorder patients with the diffuse alpha pattern were analyzed using wavelet-crosscorrelation analysis. Five epochs of 2 seconds were analyzed for each subject. Wavelet-crosscorrelation coefficients were calculated for frequencies in the alpha band for all epochs in each subject. The results showed that the WCC values were higher in the patients with diffuse alpha. The highest wavelet power spectra in the alpha band of the patients occurred at a lower frequency. Our results suggest that the connectivity strength along the sagittal and occipital orientations in the brain of the patients could be stronger than healthy individuals.

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用小波互相关分析比较漫射α图象与正常α图象的特征

在一些个体中，α波出现在大脑的许多区域，这被认为是异常的脑电图(EEG)。这种现象被称为漫射α模式。这项研究的目的是提取和比较大脑各部分之间的连接特征。应用小波互相关分析健康人与具有弥漫性α模式的精神障碍患者的脑电图。每个受试者分析5个2秒的epoch。计算了每个受试者在alpha波段的所有历元频率的小波相互关系数。结果显示弥漫性α患者的WCC值较高。患者α波段的最高小波功率谱出现在较低的频率。我们的研究结果表明，患者大脑中沿矢状和枕状方向的连接强度可能比健康个体更强。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Affective Engineering ENGINEERING, INDUSTRIAL-

自引率

33.30%

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