Abstract
EEGcorco is a computer program designed to analyze the degree of synchronization between two electroencephalographic signals (EEG) by mean the analysis of correlation and coherence index. The correlation and coherence values permit the quantitative determination of the similarity among EEG signals from homologous areas of the cerebral hemispheres (interhemispheric), and among localized areas within one cerebral hemisphere (intrahemispheric). EEG coherence is a function of frequency; thus it is commonly presented in a spectral manner (coherence values in every frequency of the spectrum), in contrast, the correlation function has been employed mainly to search periodic components of bioelectrical signals, and normally appears as punctual values defined in time, hence it is not common calculate correlation spectra. EEGcorco offers an easy and novel way to calculate correlation spectra by mean the application of the Fast Fourier Transformation (FFT) to digitized EEG signals. Both, correlation and coherence spectra are obtained in both independent frequencies and frequencies grouped in wide bands. Moreover, the program applies parametric statistical analyses to those coherence and correlation spectra also, for each individual frequency and for the frequencies grouped in bands. The program functions on any PC-compatible computer equipped with a Pentium or superior processor and a minimum of 512 Mb of RAM memory (though the higher the capacity the better). The space required on the hard disk depends on the signals to be analyzed, as the output takes the form of files in text format that occupy very little space. The program has been elaborated completely in the Delphi environment for the Windows operating system. The efficacy and versatility of EEGcorco allow it to be easily adapted to different experimental and clinical needs.
Highlights
EEGcorco is a computer program designed to analyze the degree of synchronization between two electroencephalographic signals (EEG) by mean the analysis of correlation and coherence index
The correlation and coherence values permit the quantitative determination of the similarity among EEG signals from homologous areas of the cerebral hemispheres, and among localized areas within one cerebral hemisphere
EEG coherence is a function of frequency; it is commonly presented in a spectral manner, in contrast, the correlation function has been employed mainly to search periodic components of bioelectrical signals, and normally appears as punctual values defined in time, it is not common calculate correlation spectra
Summary
The electroencephalogram (EEG) is defined as a mixture of rhythmic sinusoidal-like fluctuations in voltage generated by the brain that, it has been suggested, represent the global activity of the pyramidal cells of the cortex and the activity of the neurons in the subcortical structures [1] It has been used for many years as a sensitive tool that makes it possible to examine brain functionality with no invasive intervention under many physiological conditions, during hormonal and pharmacological manipulations, and while subjects are resolving different tasks [2,3]. The correlation function was employed mainly to search for the periodic components of bioelectrical signals, and normally appears as punctual values defined in time This analysis can be applied if there are two continuous variables whose relation is linear and whose punctuations have been obtained in independent couples [8]. Considering the broad utility and application of these brain synchronization methods in both basic and clinical research, this report describes a computer program— EEGcorco—that has been designed to obtain rapidly and simultaneously, the coherence and correlation spectra of EEG signals, as well as statistical comparisons (parametric) among groups or conditions of the signals involved
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