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0090-2977/08/4004-0304 © 2008 Springer Science+Business Media, Inc.
Neurophysiology, Vol. 40, No. 4, 2008
Correlation between the Activity of Dopaminergic Neurons
of the Ventral Tegmentum and Spectral Power of the EEG
Rhythms in Awake Cats
Yu. O. Fokina,
1
А. М. Kulichenko,
1
and V. B. Pavlenko
1
Neirofiziologiya/Neurophysiology, Vol. 40, No. 4, pp. 359-367, July-August, 2008.
Received July 15, 2008.
We studied correlations between the frequency of background impulse activity (BIA) of dopaminergic (DA-
ergic) neurons of the ventral tegmentum (VT) and spectral power (SP) of the frequency components of EEG
samples recorded in awake cats. The EEG was recorded monopolarly (electrodes were fixed in the cranial
bones) from the frontal, occipital, and right and left temporal regions of the cortex. In a great majority of
the cases, the BIA frequency of VT DA-ergic neurons demonstrated significant positive correlations with
changes in the SPs of the alpha and beta EEG rhythms. The closest correlations of the spiking frequency of
DA-ergic cells with the SP of the alpha rhythm was observed in the occipital region, while those with the beta
SP were found in the frontal area. Correlations of the activity of DA-ergic neurons with the SPs of the alpha
and beta rhythms in the left temporal cortical zone were closer, as compared with those in the symmetrical
right zone. Correlations of the SPs of the delta, theta, and gamma EEG components with the discharge
frequency of VT DA neurons were of opposite directions, and in most cases such correlations did not reach
the level of significance. The results of this study show that, in some cases, specific EEG patterns can be
considered indicators of the state of the cerebral VT DA-ergic system.
Keywords: dopaminergic neurons, ventral tegmentum, impulse activity, EEG, spectral composition.
1
Vernadskii Tavricheskii National University, Autonomic Republic of
Crimea, Simferopol’, Ukraine.
Correspondence should be addressed to Yu. O. Fokina
(e-mail: fokina1985@mail.ru),
A. M. Kulichenko (e-mail: kulichenkoa@mail.ru), or
V. B. Pavlenko (e-mail: pavlenkovb@crimea.edu).
INTRODUCTION
Recording and analysis of EEG are effective
means for estimation of the functional state of the
CNS; the corresponding techniques are extensively
used in research and clinical practice. At the same
time, it should be recognized that the mechanisms
underlying the formation and modifications of the
EEG frequency components (rhythms) remain unclear
in many respects [1, 2]. The relations between the
activity of neuromodulatory cerebral systems and
EEG characteristics attract significant interest from
researchers. In 1997, Lubar supposed that the activity
of neurons belonging to the aminergic cerebral systems
crucially influences the process of formation of EEG
rhythms [3]. Our earlier studies showed that rather
clear correlations between the parameters of spike
activity of brainstem serotonergic neurons of the nuclei
raphe and noradrenergic cells of the locus coeruleus,
on the one hand, and changes in the spectral power
(SP) of a few main EEG rhythms, on the other hand, do
exist [4]. The dopamine (DA)-ergic system is another
main aminergic brainstem system. The activity of this
system demonstrates clear relations to the organization
of motor acts [5, 6], formation of memory engrams [7],
changes in the state of systems providing attention [8],
and the development of positive emotions [8, 9]. The
DA-ergic system is also a component of the mechanisms
of motivation [10] and exerts a significant modulatory
influence on the psychophysiological state of animals
and humans. It can be expected that this system,
similarly to other aminergic systems, will definitely
contribute to the formation of EEG rhythms and
influence their parameters. This is why we examined,
in the experiments on unanesthetized cats described
below, correlations between the characteristics of
impulse activity of DA-ergic neurons (supposedly
identified according to their localization and parameters
of their spikes) of the ventral tegmentum (VT) of the
cat midbrain and changes in the SPs of the main EEG
rhythms.