A practical method for calculating correlation spectra electroencephalographic signals to evaluate functional relationships between brain areas [Un m�todo pr�ctice para el espectro de correlaci�n entre se�ales electroencefalogr�ficas para evaluar relaciones funcionales entre areas cerebrales]

Abstract

The quantitative analysis of electroencephalographic activity (EEG) has proven to be of great utility in studying the functional organization of the brain. Several techniques in the time and frequency domains have been used to analyze it. Correlation function is one of the most powerful statistic measures and it can be applied when two continuous variables are linearly related and have digitized independent paired values. Traditionally, this type of analysis has been applied to EEG signals to study functional relationships between brain regions since they satisfy such characteristics. Taking into account the advantages which the correlation analysis offers, an algorithm has been developed to calculate the correlation spectrum between EEG signals, which eliminates the problem of time and memory required by a computer.