A total of 22 healthy subjects in the EEG laboratory and 62 patients in the clinical functional diagnostic unit were studied. Spontaneous EEG recordings were made using the 10-20 scheme relative to combined ear electrodes in the state of rest with the eyes closed and open and during various functional loads. Traces were analyzed by computer animation of the EEG phase structure. The main concept of the method for extracting phase structure was based on not using a single reference lead. Time shifts were measured only between neighboring electrodes, with the result that the oscillations being compared were highly coherent. Time discordance was assessed in terms of the shift in the peak of the cross-correlation function. The results showed that from the point of view of phase structure, the differences between the high-and low-frequency EEG rhythms were purely quantitative. Qualitatively, the properties of the rhythms were identical and were reduced to slow (in the seconds range) oscillations of phase shifts. Low-frequency activity was characterized by large (in absolute terms, msec) phase shifts from electrode to electrode as compared with high-frequency activity. The phase shifts of potentials formed a structure which was overall very similar in different subjects and was reproduced in different leads. The initial appearance of EEG waves was statistically linked with the main sensory projections--the visual (occipital areas), auditory (temporal areas), and somatic (parietal areas), with addition of the frontal areas. Rearrangement of phase leadership in favor of the occipital pole at the expense of both temporal areas was observed on opening the eyes. This appears to depend on the level of sensory influx to this cortical area from the thalamus. It is suggested that the direction of the phase gradient reflects a gradient of cortical current density parallel to the surface. This can be used to locate compact sources lying close to the surface.

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The frontal lobes make a significant contribution to the formation of individual personality traits, in connection with which it is important to identify the links between the parameters of the bioelectric activity of the frontal cortex and the indicators of psychological tests. The aim of this work was to study the relationship between the indicators of extraversion and neuroticism of the subjects and the parameters of their EEG. For the first time, differences in these relationships were found at rest and during standard functional tests, without the use of additional specialized loads. The study involved healthy subjects of both sexes, average age 19.3 years; all subjects are right-handed. To identify the level of extraversion and neuroticism, the standard Eysenck test (option B) was used. The EEG was recorded using the bipolar derivation method. 19 electrodes were exposed in accordance with the international Jasper system 1020%. EEG was recorded at rest with eyes closed and during functional tests: eye opening, hyperventilation, photostimulation. The correlation coefficients of the index and absolute power of the EEG with the level of extraversion and neuroticism were calculated both for the entire sample of subjects and for individual groups according to the level of extraversion and the level of neuroticism. For the entire sample of subjects, positive significant correlations of EEG power with the level of extraversion and negative with the level of neuroticism were revealed. In the groups of subjects with high, medium and low levels of extraversion and neuroticism, the differences in correlation relationships with EEG parameters are more pronounced. In these groups, these differences are more often manifested when performing functional tests than at rest with closed eyes.