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Lazar, A.S., Lazar, Z.I., Biro, A., Gyori, M., Tarnok, Z., Prekop, C., Keszei, A, Stefanik, K., Gadoros, J., Halasz, P. and Bodizs, R. (2010) Reduced Fronto-Cortical Brain Connectivity during NREM Sleep in Asperger Syndrome: An EEG Spectral and Phase Coherence Study. Clinical Neurophysiology, 121, 1844-1854.
http://dx.doi.org/10.1016/j.clinph.2010.03.054

has been cited by the following article:

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

  AUTHORS: Miguel Angel Guevara, Araceli Sanz-Martin, Marisela Hernández-González

  KEYWORDS: EEG Correlation, EEG Coherence, Relative Power, Absolute Power, EEG Software, EEG Signal Analysis

  JOURNAL NAME: Journal of Behavioral and Brain Science, Vol.4 No.7, July 22, 2014

  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.