E.A. Yumatov1, N.A. Karatygin2, E.N. Dudnik3, O.S Glazachev4, A.I. Filipchenko5,
L.T. Sushkova6, R.V. Isakov7, V.A. Al-Haidri8, S.S. Pertsov9

1,2,9 P.K. Anokhin Research Institute of Normal Physiology, RAS (Moscow, Russia)

3–5 I.M. Sechenov First Moscow State Medic al University (Moscow, Russia)

6–8 A.G. and N.G. Stoletovs Vladimir State University (Vladimir, Russia)

In recent years, progressive methods of wavelet transformation of the electroencephalogram (EEG) have been developed. With the help of this method of EEG processing and analysis, we have previously established the fundamental possibility of objective recording of the mental activity of the human brain.

One of the manifestations of mental activity is a false or truthful state of the human brain. To identify a false or true state of the human brain, we previously developed an experimental model and information software that made it possible to compare two mental states of brain activity by electroencephalographic indicators, one of which is false; the other is true.

In a previous study using the method of continuous wavelet transform and calculation of the EEG wavelet energy, we revealed significant differences in the true and false state of the brain in the delta and alpha ranges of the EEG with the integral averaged recording of the EEG simultaneously for all electroencephalogram recording. Such a study does not provide complete information about those specific brain structures in which differences appear in the false and truthful states.

In this regard, it became necessary to study the participation of individual structures of the cerebral cortex in false or truthful mental responses of the subjects. To develop a practical method for testing and identifying the criteria for a true or false mental state of the brain, a further detailed analysis of the EEG of individual cortical structures of the brain was carried out, which was the subject of this work.

Development of a fundamentally new information technology for recognizing the true and false states of the human brain based on the registration of an electroencephalogram in individual cortical structures of the human brain, and its analysis using wavelet transform.

In general, we can briefly summarize the criteria for assessing the false or truthful state of the brain. If, during question comprehension, the average energy of the wavelet spectrum in the alpha and beta rhythms in lead O1, and in the theta rhythm in lead P3 decreases, and during the mental answer to the question, the average energy of the wavelet spectrum in the EEG theta rhythm in lead O2 increases, then a false state of the brain is revealed, and if everything is the other way around, then this is a true state.

The study shows the fundamental possibility of detecting a false or true mental response in brain activity based on continuous wavelet analysis of the EEG of individual cortical structures of the human brain. The criteria for the participation of different brain structures in the formation of a mental false or truthful state are set.

The data obtained open up the fundamental possibility of detecting true and false mental states based on continuous wavelet transformation and calculation of the EEG wavelet energy in individual brain structures, which is the basis for developing a device for monitoring the false and true states of the human brain.

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