BIOELECTROGRAPHIC CHARACTERISTICS OF MENTAL STATE
Korotkov Kirill K., Kulikov L.V., Lange E.&L
International Union of Medical and Applied Bioelectrography
Mental states strongly effect the life activity of a person. The necessity to study mental states appeared in 1940 – 1950 with the invention of advanced equipment and the development of elite sport. The global computerization and bigger responsibility of an operator put forward a problem of the “human mental state”. Thus new methods for the analysis of a human mental state came to being.
A new device based on the Gas Discharge Visualization technique and a special Software enable a quick and cost-effective express – diagnosis of a person. Computer processing of experimental data makes any analysis quick and convenient. The GDV-technique is becoming widely-used in medicine, biology, in the field of elite sport. Thus it seems expedient to develop a method based on the GDV-technique for the evaluation of a mental state.
Objective of the Research
The objective of the given research was to reveal the bioelectrographic characteristics of a human mental state and to prove the reliability of the method for the evaluation of a mental state based on the GDV-technique.
Description of the Method
For the evaluation of a mental state a series of psychological tests based on the method of Pr. Kulikov L.V. were used. Also the Gas Discharge Visualization technique was applied to reveal a psycho-physiological correlation between the test characteristics of a mental state and the GDV- parameters of Korotkov’s images (GDV-gram).
Results and Discussion
The most evident correlation was revealed in the first mode of shooting (“filter free mode”), when the device registered a psycho-energy state. Calculations of the correlation coefficients demonstrated some connection of all the GDV parameters (except from Form Coefficient, Left hand and Fractality Coefficient, Right hand) with the psychological characteristics (p < 0,05). Correlation coefficients of Pirson and Spirman demonstrated similar results.
The carried out analysis revealed correlation of the “Deviation” parameter with “Activity”(reverse correlation) and “Emotionality” (direct correlation) as well as with a series of characteristics of the “predominant” state (or stable state).
The most frequent correlation revealed by the analysis of different parameters were the following: “Emotional Stability – Instability” and “High – Low tonus”. We build regression equations for these characteristics and corresponding GDV parameters.
The parameters “Emotional Stability – Instability” and “High-Low tonus” correlated with different GDV characteristics. Square (RSnorm) and Deviation (D) were the only common parameters.
Conclusions
The parameters “Emotional Stability – Instability” and “High-Low tonus” revealed the most evident correlation with the GDV parameters.
The evident correlation of the GDV-gram parameters with the characteristics of “Predominant State” (Stable State) and insufficient correlation with the “Current State” parameters speak for a strong influence of the parameters of the predominant state on the bio-field characteristics. It’s probable that the bio-field parameters depend on the peculiarities of a relatively stable state of a person, rather then on his current state initiated by the environmental factors.
Contrary to the other GDV parameters, “Deviation” is correlated with almost all the characteristics of the method evaluating relatively stable states.
The GDV parameter “Deviation” (D) is correlated with a series of characteristics of a temperament. There is a direct correlation with “Emotionality” and a reverse correlation with “Activity”.
5. state provide a good basis for the further development of a method for the evaluation of mental activity by the GDV technique.
Remarkable study. I want to join your work
Thank you! and Welcome!
I think the article is very interesting. We train psychotherapists, we work with physical health and how it impacts on emotional health, we see results and now we can see them physically, it’s fantastic. It’s a pity that not everyone can access this technology
Thank you, Lorena! Welcome to IUMAB!
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