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

• Published in: International Journal of Affective Engineering Vol. 19; no. 1; pp. 21 - 30
• Main Authors: CARPELS, Steven MA, INOGUCHI, Yuji, KOBAYASHI, Shohei, MURAMATSU, Ayumi, YAMAMOTO, Yusuke, ITO, Masato, MIZUNO-MATSUMOTO, Yuko
• Format: Journal Article
• Language: English
• Published: Tokyo Japan Society of Kansei Engineering 01.01.2020; Japan Science and Technology Agency
• Subjects: Brain; Diffuse alpha pattern; Electroencephalography; Feature extraction; Mental disorders; Pattern analysis; Power spectra; Wavelet analysis; Wavelet-crosscorrelation analysis
• ISSN: 2187-5413; 2187-5413
• DOI: 10.5057/ijae.IJAE-D-18-00034

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.