Dynamics of high-frequency (up to 200 Hz) components of brain electrical activity during learning reflect the functional mosaicism of the neocortex.
This study was undertaken with the aim of identifying frequency bands with correlated changes in the spectral power amplitudes of brain electrical activity, including high-frequency components (the 1-200 Hz band) in four dogs, using one-dimensional analysis. Factor and cluster analysis of the spectral densities of various parts of the cortex and the olfactory bulb were carried out. The ratios of factors in different parts of the brain, both in terms of the proportions of the total dispersity and in terms of weightings, provided data on regional and individual differences in electrical activity. During learning (development of a motor habit consisting of pressing a feeder pedal), the factor organization of electrical activity became more, complex, particularly in the high-frequency part of the spectrum (40-170 Hz). The changes consisted of the appearance of narrower frequency sub-bands, each of which was present at high weighting (0.7-0.9) for one of the factors. The use of high-frequency components allowed functional mosaicism of the neocortex to be detected.
Dumenko
V N
VN
Institute of Higher Nervous Activity, Russian Academy of Sciences, Moscow.
Kozlov
M K
MK
Kulikov
M A
MA
D000818:Animals; D002540:Cerebral Cortex / Q000033:anatomy & histology / Q000502:physiology*; D016000:Cluster Analysis; D003214:Conditioning, Classical / Q000502:physiology*; D004285:Dogs; D004569:Electroencephalography; D005163:Factor Analysis, Statistical; D009043:Motor Activity / Q000502:physiology