[Diagnosis of different stages of epileptogenesis by fractal EEG analysis].

The diagnostic evaluation of brain activity disturbances using fractal EEG analysis was performed in 95 patients with different stages of epileptogenesis. The control group included 30 normals. Authors have shown the possibility to determine phases of the development of epileptic process according to the peculiarities of the dynamics of main EEG band power fluctuations with the spectrum in the form of 1/f(β).

[Features of fractal dynamics EEG of alpha-rhythm in patients with neurotic and neurosis-like disorders].

Fifty-five patients with neurotic and neurosis-like disorders and 20 healthy controls, aged 17-64 years, have been examined. The basic research method was electroencephalography (EEG) with the fractal analysis of alpha power fluctuations. In patients, the changes in the fractal structure were of the same direction: the decrease of fractal indexes of low-frequency fluctuations and the increase of fractal indexes of mid-frequency fluctuations.

Multifractal analysis as an aid in the diagnostics of mental disorders.

The digitalization of EEGs (electroencephalogram) has showed new possibilities for analyzing electrical activity of brain. This has offered new methods, e.g.

[Fractal diagnostics of disturbances in the alpha-rhythm dynamics in patients with epilepsy].

A new method for analyzing the chaotic component of EEG is proposed. The method is based on estimating the fractal dimension of fluctuations of alpha-rhythm power (the square of amplitude). It is shown that the dimensions of the background EEG fragments for epilepsy patients is significantly higher than that in norm, indicating a disbalance of cerebral mechanisms that control the alpha-activity in this disease.