Resumo

HERNANDEZ LOPEZ, Luis Yoel; RASSI PICHARDO, Juana  e  HERNANDEZ GIGATO, María E.. Approach to functional knowledge of the brain. ASETI method. EAC [online]. 2023, vol.44, n.1, pp. 66-76.  Epub 06-Dez-2023. ISSN 1815-5928.

Numerous disorders of the central nervous system exhaust the diagnostic and therapeutic possibilities available to specialists. The impossibility of predicting the behavior of neuronal systems through electroencephalographic recordings made in humans reflects the existence of non-linear mechanisms involved. Due to the non-linearity and chaoticity in the electroencephalograms, an analysis method was established for better understanding. The electrical signal from the brain was recorded with TrackWalker. The ASETI method was applied to each electroencephalographic recording. The studies analyzed belong to different people who do or do not suffer from some type of disease. An analysis was carried out by region considering the size, shape and value of the attractor, evidencing a great variety of shapes and sizes in different people and even in the same person. This diversity reflects that their variability can be used as an indicator of health. From the analysis based on color scale and physiological position, it was obtained that the decrease in the attractor is due to interference fields resulting from possible organic effects. The reduction of the attractor is given by the inability of the dynamical system to access certain states of the phase space. The increase in the attractor has an opposite cause, the system reaches inaccessible states with respect to those of small size. There is a dynamic that describes and discriminates the changes in the results coinciding with the proposed health and pathology criteria so that it is possible to use it as a diagnostic method in the future.

Palavras-chave : electroencephalograms; attractor; variability.

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