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Biomedical subjects

Elena V Orekhova

Publications and source records attributed to Elena V Orekhova.

2 recordsLinked to original sources

Heritability and "environmentability" of electroencephalogram in infants: the twin study.

We estimated relative contribution of genetic and environmental factors to electroencephalogram (EEG) frequency and amplitude parameters in infants. EEG was registered in 49 pairs of monozygotic and 45 pairs of dizygotic twins aged 7-12 months during (1) visual attention and (2) darkness. The variability of occipital alpha frequency depended mainly on genetic, probably nonadditive factors. The mean heritability for the spectral amplitudes in the delta, theta, and alpha bands were 0.37, 0.13, and 0.22 during visual attention, and 0.22, 0.40, and 0.10 during darkness. The influence of shared environment was probable for many of the EEG parameters. It was greatest for the amplitude of the theta rhythm during visual attention. The theta amplitude depended on such a parameter of early social environmental enrichment as the number of caregivers in the family. The possible relationship between infant theta rhythm and developmental outcome is discussed. For many of the EEG parameters, heritability increased during the second half of the first year of life, thus supporting the hypothesis about amplification of genetic effects and decrease of common environmental influences with age.

Aging↗

Modification of the average reference montage: dynamic average reference.

The common average reference (CAR) is influenced strongly by high-amplitude artifacts at the recording electrodes. The authors suggest an algorithm for average reference modification that allows application of the average reference montage in the presence of high-amplitude artifacts at one or several EEG data channels. This dynamic average reference (DAR) method is based on analysis of kurtosis (DARkurt) or kurtosis and standard deviation (DARSD) of amplitude distribution at a single time point and elimination of outliers before calculating the average reference. This procedure can be performed on-line. The DAR improves visual EEG representation considerably in the presence of high-amplitude artifacts. The DAR also influences artifact-free EEG, increasing slightly the amplitude of high-amplitude waveforms. The modeling of the dipole source in the spherical conductor has shown that the DAR compared with the CAR can both decrease and increase the average reference bias depending on position and orientation of the source. In practice, the influence of the DAR with tested parameters on the artifact-free EEG was low and never exceeded 12% of the amplitude of the CAR-referenced signal. The DAR method can be useful for routine analysis of EEG contaminated by high-amplitude artifacts and for long-term EEG monitoring.

Algorithms↗