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Biomedical subjects

L S Butneva

Publications and source records attributed to L S Butneva.

2 recordsLinked to original sources

[Multiple parameter comparative EEG analysis in alcoholism and narcotic dependence].

Multiparametric comparative analysis of spatial organization of EEG was carried out in 137 alcoholics and 131 heroin addicts. Common and different deviations from normal EEG (105 control subjects) were found. Global alterations of EEG spatial organization were observed in drug addicts (as compared to alcoholics). Such changes characterized increasing synchronizing effects of mesolimbic and brainstem structures on the brain cortex. The ethanol effects were more specific and asymmetric. Changes in EEG spectral-coherence characteristics were revealed in all frequency band, however, maximal changes took place in the high-frequency theta in drug addicts and in narrow-frequency alpha subranges in alcoholics. Different effects on the high-frequency EEG component (19.00-21.25 Hz) and information-energy index (coherence-to-spectral power ratio) suggest the difference influence of ethanol and heroin on emotional-motivational and cognitive processes as well as the level of consciousness. The obtained data on EEG discrimination of alcoholism and drug addiction (the inverse problem solution) on the basis of "specific" EEG patterns appear to have considerable promise in development of systems of occupational selection.

Adolescent↗

[The spatial ordering of the brain electrical processes as an index of its functional organization].

Analysis of constraints, which are imposed on correctness of conclusions drawn from the studies of the spectrum-correlation model of cortex electrical activity, and necessity of enlarging interaction forms which have to be studied, brought to development a new index for estimating spatial order of cortex electrical processes. This index and the technique were called "multiple entropy" (ME). The algorithm of calculating ME and its properties are discussed. The results of studying spatial structure of cortex electrical processes by estimating their spatial synchronization and ME were compared. It was shown that these approaches complemented each other. Using both these techniques in combination gives more complete picture of integration of cortex processes.

Brain↗