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The brain dynamics is one of the main problems of psychophysiology, both in Russia and abroad (1). As a model of the brain activity it has two main ways of describing: temporal and spectral frequency areas. Frequency spectral analysis method of brain processes takes its origin from the development the physics of nonlinear processes involving stochastic mathematical apparatus. This new approach, for example, enrich Cardiology healthy and sick people through the inclusion of new features measures the degree of chaotisation rhythm: from chaos to fractal and over rigidity. The ratio of the value of this index and the degree of variability of heart rhythm fluctuations specifically assess the measure of human health. Only in certain ratios of these numerical characteristics of the pulse dynamics is described as normative health status. The degree of deviation of the specific values of this index and the degree of pulse variability from normative indicators characterizes deviation towards health illness or risk of psychosomatic illnesses (2). All processes of the brain characterized by fatal variability parameters that generates an array of fluctuations-all specific deviations from average values for parameters that have probabilistic nature. The optimal functioning of the body and its systems is possible if, when fluctuations of parameters are seen in certain ranges. Output fluctuations the optimum range is threatened by the body or the brain and the formation of pathological conditions or loss. The main purpose of the article is evidence the significance of the stochastic dynamics brain processes description in assessing health status and functional norm of brain processes. Stochastic principles of brain dynamics, takes a look at the example RR-intervals fluctuation power spectrum recorded during 5 minutes and processed using the software package Uritsky V.M. (3). The figure is an example of the range of a healthy young person, where the top-left corner shows the evolution of the values of RR-intervals; below is the power spectrum of fluctuations RR-interval’s variations. Left on the spectrum in ultra low frequency (ULF) area shows the line with angle shows the fractal value index (0, 82), as well as power spectrum estimates point to the lowest frequency-So. The table below gives specific values that drawing power spectrum. In a fairly large number of works on the subjects (more 1000) of different ages were able to establish that the most sensitive to changing conditions wednesday health and activities are fractal index and So. They reliably change with age, increasing in size, and have a certain momentum dynamic when performing cognitive tasks with varying degrees of emotional tension, significantly reduced in patients with psychosomatic diseases. Thus, the inclusion of stochastic principles describe brain dynamics evaluating measure of organization of brain systems, turns out to be new and useful information to assess the state of the brain and human. References: 1. Partha Mitra, Hemant Bokil. Observed Brain Dynamics. Oxford University Press/ - 2008 2. Thus, the inclusion of stochastic principles describe brain dynamics evaluating measure of organization of brain systems, turns out to be new and useful informaciej to assess the State of the brain and humanMuzalevskaja n.i., Kamenskaya v.g., Score Adaptive resource and health status of high school students by the method of Nonlinear Stochastic kardiointervalometrii human physiology. T. 33. No. 3. C. 60-68. -2007. 3. Uritsky V.M. Package software for the selection and analysis of fluctuation RR-intervals (1999-2001). Uritsky @ pop600.gsec.nasa.gov.