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    Comparison between auto-cross-correlation coefficients and coherence methods applied to the EEG for diagnostic purposes.

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    BACKGROUND: Power-spectrum and coherence analysis of the EEG has often been applied in the study of various forms of brain dysfunction. The examination of differences in intra-hemispheric coherence and a novel method based on auto-cross-correlation algorithms between the left and right hemispheres of the same EEG are investigated in this paper. MATERIAL/METHODS: Both coherence and the proposed method are computed from the same EEG segment across the EEG spectrum (0-64 Hz). In this experiment, five EEGs of different patients with severe brain damage were used. The novelty of this study lies in the fact that the autocorrelation coefficients are extracted in a particular spectrum, in contrast to the traditional coherence method, which is based on a measure of the square of the linear association between the two EEG signals from the entire EEG spectrum. RESULTS: The results of the application of coherence and the proposed method showed that particular pairs of symmetrical cortex channels differed dramatically in specific damaged areas. CONCLUSIONS: Statistical analysis of the above results showed that the proposed method is more accurate than coherence because it could recognize the cases of the patients to a significant statistical degree, whereas the coherence method showed weakness in recognizing them.

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    Description

    Title : Comparison between auto-cross-correlation coefficients and coherence methods applied to the EEG for diagnostic purposes.
    Author(s) : Marios Poulos, Sozon Papavlasopoulos, Nikolaos Alexandris, Evagelos Vlachos
    Abstract : BACKGROUND: Power-spectrum and coherence analysis of the EEG has often been applied in the study of various forms of brain dysfunction. The examination of differences in intra-hemispheric coherence and a novel method based on auto-cross-correlation algorithms between the left and right hemispheres of the same EEG are investigated in this paper. MATERIAL/METHODS: Both coherence and the proposed method are computed from the same EEG segment across the EEG spectrum (0-64 Hz). In this experiment, five EEGs of different patients with severe brain damage were used. The novelty of this study lies in the fact that the autocorrelation coefficients are extracted in a particular spectrum, in contrast to the traditional coherence method, which is based on a measure of the square of the linear association between the two EEG signals from the entire EEG spectrum. RESULTS: The results of the application of coherence and the proposed method showed that particular pairs of symmetrical cortex channels differed dramatically in specific damaged areas. CONCLUSIONS: Statistical analysis of the above results showed that the proposed method is more accurate than coherence because it could recognize the cases of the patients to a significant statistical degree, whereas the coherence method showed weakness in recognizing them.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2004

    Affiliations Ionian University, Corfu, Greece
    Journal : Medical science monitor international medical journal of experim
    Volume : 10
    Issue : 10
    Pages : MT99-T108
    Url : http://api.mendeley.com/research/comparison-between-autocrosscorrelation-coefficients-coherence-methods-applied-eeg-diagnostic-purposes/

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