EEGbands: A Computer Program to Statistically Analyze Parameters of Electroencephalographic Signals

Abstract

The quantitative analysis of electroencephalographic activity (EEG) is a useful tool for the study of changes in brain electrical activity during cognitive and behavioral functions in several experimental conditions. Their recording and analysis are currently carried out primarily through the use of computer programs. This paper presents a computerized program (EEGbands) created for Windows operating systems using the Delphi language, and designed to analyze EEG signals and facilitate their quantitative exploration. EEGbands applies Rapid Fourier Transformation to the EEG signals of one or more groups of subjects to obtain absolute and relative power spectra. It also calculates both interhemispheric and intrahemispheric correlation and coherence spectra and, finally, applies parametrical statistical analysis to these spectral parameters calculated for wide frequency EEG bands. Unlike other programs, EEGbands is simple and inexpensive, and rapidly and precisely generates results files with the corresponding statistical significances. The efficacy and versatility of EEGbands allow it to be easily adapted to different experimental and clinical needs.

EEG Characteristics of Adolescents Raised in Institutional Environments and Their Relation to Psychopathological Symptoms

“…All contaminated segments were eliminated. Later, the EEGs were analysed by the EEG Bands computer program [24], which initially calculated the Fast Fourier Transform to seven frequency bands: delta (1.5 -3.5 Hz), theta…”

EEG correlation during the solving of simple and complex logical–mathematical problems

“…An off-line digital filter was applied for the frequencies below 1 Hz and above 50 Hz using another computer program (FILDIG; Guevara et al 2005). All artifact-free EEG segments were analyzed using the EEG bands program (Guevara et al 2014), which used fast Fourier transform to calculate absolute power (AP) and electroencephalographic correlations (rEEG) by applying the Pearson's correlation coefficient between intrahemispheric (F3-T3, F3-P3, T3-P3, F4-T4, F4-P4, T4-P4) and interhemispheric electrodes (F3-F4, T3-T4, P3-P4) for six frequency bands: delta (δ, 1.5-3.5 Hz), theta (θ, 3.5-7.5 Hz), alpha1 (α1, 7.5-10.5 Hz), alpha2 (α2, 10.5-13.5 Hz), beta1 (β1, 13.5-19.5 Hz), beta2 (β2, 19.5-30 Hz), and gamma (γ, 31-50 Hz).…”

The observation of real videos and movie clips with anger content induces different cortical connectivity patterns in young women

“…-s EEG segments from each participant were selected and analyzed for each type of videoclip. All artifact-free EEG segments were examined using the EEG Bands program31 , which applies fast Fourier transform to obtain the absolute power (AP) of frequencies grouped in seven bands: delta (δ, 1.5-3.5 Hz), theta (θ, 3.5-7.5 Hz), alpha1 (α1, 7.5-10.5 Hz), alpha2 (α2, 10.5-13.5 Hz), beta1 (β1, 13.5-19.5), beta2 (β2, 19.5-30 Hz), and gamma (γ, 31-50 Hz). To calculate EEG correlations (rEEG), the instant spectrum of each derivation in each band was obtained, as was the auto spectrum, together with the cross spectrum between derivations for the intrahemispheric (Fp1-F3, Fp1-T3, Fp1-P3, F3-T3, F3-P3, T3-P3, Fp2-F4, Fp2-T4, Fp2-P4, F4-T4, F4-P4, and T4-P4) and interhemispheric electrodes (Fp1-Fp2, F3-F4, T3-T4, and P3-P4).…”