The Electroencephalogram (EEG) possesses the highest temporary resolution in all the methods of study of the central nervous system (CNS). Original statistical methods were developed in the assessed work, for the analysis of the Extracted Parameters of Electroencephalogram (EEG) and of Potentials Related to Events (PEEs). These Descriptive Parameters (DP) are designed in a way to reflect important physiologic and pathological processes. The DP can be represented in form of topographical or tomographic map.

The scientific novelty of this result consists on the development of a general methodology of multivariate hypothesis test to compare topographical or tomographic maps groups using the exchanges' techniques. For this purpose, there were developed new multivariate statisticians and the construction of the probabilistic nonparametric distribution (global scale) that overcome limitations of the precedent methods, since they don't demand restrictive considerations. It was also created a statistician sensitive to the differences between the localizations of maximum or minimum value of groups of maps and a model intended to describe the PREs.

The practical importance of this result is in the clinical validation of developed statisticians and methodologies, which are included as softwares packages in the equipment installed in Hospitals of the National Neurophyisiology Net. The results from its application show that these methods have a higher sensibility and specificity for clinical diagnosis.

It is endorsed by 13 scientific publications; from them, 11 in prestigious International Magazines. Some publications are shared with researchers from UNAM, Mexico, and they refer to applications of the methodology developed by the Center of Neurosciences of Cuba.

The parenthood and prominence of this result is also endorsed by the US528274 patent, given in USA in 1994, among other references.