Effects of Blockade of Dopamine D1/D2 Receptors on the Single and Network Activity of Neurons in the Frontal and Visual Cortex and Behavior in Cats

  • E. P. Kuleshova
  • A. V. Zaleshin
  • V. V. Sidorina
  • G. Kh. Merzhanova

Results obtained at the single (cell discharge) and network levels of activity of cells in the frontal and visual cortex in animals with different types of behavior identified the characteristics of the activity of these structures in normal conditions and after local administration of blockers of dopaminergic D1/D2 receptors (SCH23390 and raclopride) into the nucleus accumbens and frontal cortex. In conditions of long-latency responses, the mean neuron activity frequency in the frontal cortex was increased significantly by blockers, while that in the visual cortex decreased as compared with the neuron activity frequency in normal conditions, which suggests that dopaminergic deficiency has different effects on functionally distinct cortical zones. The network activity of the same cells decreased in the presence of blockers both in the visual cortex and between neurons in the visual and frontal areas of the cortex, which was apparent as a decrease in the number of interneuronal interactions. The network activity of cells in the frontal cortex showed no change in these conditions. In “missed” reflexes, the discharge and network activity showed no change in the frontal cortex in the presence of blockers, while there was a decrease in the visual cortex. The mean neuron discharge frequency in interneuronal interactions was found to be significantly greater in these structures in both normal conditions and in the presence of blockers during long-latency conditioned responses as compared with missed conditioned responses. These results suggest differences in the modulation of the network activity of these cortical zones by the brain dopaminergic system during performance of directed behavior, which is apparent as blocker sensitivity in the cortical projections of the conditioned stimulus (visual cortex) and the visual-frontal networks formed during training.


behavior strategy selection neuron interneuronal interactions frontal cortex visual cortex 


  1. 1.
    E. A. Asratyan, Essays in Higher Nervous Activity [in Russian], Armenian SSR Academy of Sciences Press, Erevan (1977).Google Scholar
  2. 2.
    U. G. Gasanov, Cognitive Functions of Cortical Neural Networks [in Russian], Nauka, Moscow (1992).Google Scholar
  3. 3.
    E. P. Kuleshova, E. E. Dolbakyan, G. A. Grigoryan, and G. Kh. Merzhanova, “Organization of interneuronal connections in the nucleus accumbens in ‘impulsive’ and ‘self-controlled’ behavior in cats,” Zh. Vyssh. Nerv. Deyat., 58, No. 2, 172–182 (2008).Google Scholar
  4. 4.
    E. P. Kuleshova, G. Kh. Merzhanova, and G. A. Grigoryan, “Effects of selective blockade of dopaminergic D1/D2 receptors on behavioral strategies in cats in conditions of selection of two reinforcements of different value,” Zh. Vyssh. Nerv. Deyat., 56, No. 4, 641–652 (2006).Google Scholar
  5. 5.
    V. I. Maiorov and A. G. Frolov, “Effects of systemic administration of selective antagonists of dopamine D1 and D2/D3 receptors on food-related and defensive (avoidance reaction) conditioned forepaw-placing reflexes in cats,” Zh. Vyssh. Nerv. Deyat., 54, No. 4, 489–494 (2004).Google Scholar
  6. 6.
    G. Kh. Merzhanova, E. P. Kuleshova, and G. A. Grigoryan, “Organization of ‘impulsive’ behavior on the basis of a time count model,” Zh. Vyssh. Nerv. Deyat., 56, No. 6, 805–812 (2006).Google Scholar
  7. 7.
    I. G. Silkis, “The contribution of synaptic plasticity in the basal ganglia to visual information processing,” Zh. Vyssh. Nerv. Deyat., 56, No. 6, 742–756 (2006).Google Scholar
  8. 8.
    K. B. Shapovalova and Yu. V. Kamkina, “Comparison of the effects of systemic (intramuscular) and intrastriatal administration of a selective D1 dopamine receptor blocker on motor behavior and pose rearrangement in dogs,” Zh. Vyssh. Nerv. Deyat., 58, No. 5, 584–595 (2008).Google Scholar
  9. 9.
    B. A. Baldo, K. Sadeghian, A. M. Basso, and A. E. Kelley, “Effects of selective dopamine D1 or D2 receptor blockade within nucleus accumbens subregions on ingestive behavior and associated motor activity,” Behav. Brain Res., 137, No. 1–2, 165–177 (2002).PubMedCrossRefGoogle Scholar
  10. 10.
    S. Bandyoipadhyay and J. J. Hablitz, “Dopaminergic modulation of local network activity in rat prefrontal cortex,” J. Neurophysiol., 97, No. 6, 4120–4128 (2007).CrossRefGoogle Scholar
  11. 11.
    R. N. Cardinal, C. A. Winstanley, T. W. Robbins, and B. J. Everitt, “Limbic corticostriatal systems and delayed reinforcement,” Ann. N.Y. Acad. Sci., 1021, 33–50 (2004).PubMedCrossRefGoogle Scholar
  12. 12.
    K. P. Datla, R. G. Ahier, A. M. Young, J. A. Gray, and M. H. Joseph, “Conditioned appetitive stimulus increases extracellular dopamine in the nucleus accumbens of the rat,” Eur. J. Neurosci., 16, No. 10, 1987–1993 (2002).PubMedCrossRefGoogle Scholar
  13. 13.
    G. Di Chiara, “A motivational learning hypothesis of the role of mesolimbic dopamine in compulsive drug use,” J. Psychophamacol., 12, No. 1, 54–67 (1998).CrossRefGoogle Scholar
  14. 14.
    R. A. Depue and P. F. Collins, “Neurobiology of the structure of personality: dopamine, facilitation of incentive motivation, and extraversion,” Behav. Brain Sci., 22, No. 3, 491–517 (1999).PubMedGoogle Scholar
  15. 15.
    J. C. Dreher and Y. Burnod, “An integrative theory of the phasic and tonic modes of dopamine modulation in the prefrontal cortex,” Neural Netw., 15, No. 4–6, 583–602 (2002).PubMedCrossRefGoogle Scholar
  16. 16.
    F. Grammont and A. Riehle, “Spike synchronization and firing rate in a population of motor cortical neurons in relation to movement direction and reaction time,” Biol. Cybern., 88, No. 5, 360–373 (2003).PubMedCrossRefGoogle Scholar
  17. 17.
    T. Kalenscher, T. Ohmann, and O. Gunturkun, “The neuroscience of impulsive and self-controlled decisions,” Int. J. Psychophysiol., 62, No. 2, 203–211 (2006).PubMedCrossRefGoogle Scholar
  18. 18.
    G. Kh. Merzhanova, “Local and distributed neural networks and individuality,” Neurosci. Behav. Physiol., 33, No. 2, 163–173 (2003).PubMedCrossRefGoogle Scholar
  19. 19.
    K. Nakamura, M. R. Roesch, and C. R. Olson, “Neuronal activity in macaque SEF and ACC during performance of tasks involving conflict,” J. Neurophysiol., 93, No. 2, 884–908 (2005).PubMedCrossRefGoogle Scholar
  20. 20.
    K. L. Nowend, M. Arizzi, B. B. Carlson, and J. D. Salamone, “D1 or D2 antagonism in nucleus accumbens core or dorsomedial shell suppresses lever pressing for food but leads to compensatory increases in chow consumption,” Pharmacol. Biochem. Behav., 69, No. 3–4, 373–382 (2001).PubMedCrossRefGoogle Scholar
  21. 21.
    A. R. Plech, E. Herba, D. Pojda-Wilczek, K. Makowiecka-Obidzinska, S. M. Pojda, and A. Plech, “The influence of stimulation dopaminergic D, D2 receptors in lateral geniculate body on flash visual evoked potentials (FVEP) in rats,” Klin. Oczna., 108, No. 4–6, 159–162 (2006).PubMedGoogle Scholar
  22. 22.
    F. Reinoso-Suarez, Topographischer Hirnatlas der Katze (für experimental- physiologische Untersuchungen), Herausgegeben von Merck AG, Darmstadt (1961).Google Scholar
  23. 23.
    Y. Sakurai, “How do cell assemblies encode information in the brain?” Neurosci. Biobehav. Rev., 23, No. 6, 785–796 (1999).PubMedCrossRefGoogle Scholar
  24. 24.
    I. D. Salamone, M. Correa, A. Farrar, and S. M. I. Mingote, “Effortrelated functions of nucleus accumbens dopamine and associated forebrain circuits,” Psychopharmacology (Berlin), 191, No. 3, 461–482 (2007).CrossRefGoogle Scholar
  25. 25.
    W. Schultz, L. Tremblay, and J. R. Hollerman, “Changes in behavior- related neuronal activity in the striatum during learning,” Trends Neurosci., 26, No. 6, 321–328 (2003).PubMedCrossRefGoogle Scholar
  26. 26.
    S. Tsujimoto and T. Sawaguchi, “Neuronal activity representing temporal prediction of reward in the primate prefrontal cortex,” Neurophysiology, 93, No. 6, 3687–3692 (2005).PubMedCrossRefGoogle Scholar
  27. 27.
    E. Vaadia, E. Ahissar, H. Bergman, and Y. Lavner, “Correlated activity of neurons: a neural code for higher brain functions?” in: Neuronal Cooperativity, J. Kruger (ed.), Springer-Verlag, Berlin (1991), pp. 249–276.Google Scholar
  28. 28.
    M. M. Van Gaalen, R. van Koten, A. N. Schoffelmeer, and L. J. Vanderschuren, “Critical involvement of dopaminergic neurotransmission in impulsive decision making,” Biol. Psychiatry, 60, No. 1, 66–73 (2006).PubMedCrossRefGoogle Scholar
  29. 29.
    T. R. Wade, H. de Wit, and J. B. Richards, “Effects of dopaminergic drugs on delayed reward as a measure of impulsive behavior in rats,” Psychopharmacology (Berlin), 150, No. 1, 90–101 (2000).CrossRefGoogle Scholar
  30. 30.
    Y. Zhao, N. Kerscher, U. Eysel, and K. Funke, “D1 and D2 receptormediated dopaminergic modulation of visual responses in cat dorsal lateral geniculate nuclei,” J. Physiol., 539, No. 1, 223–238 (2002).PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, Inc. 2011

Authors and Affiliations

  • E. P. Kuleshova
    • 1
  • A. V. Zaleshin
    • 2
  • V. V. Sidorina
    • 1
  • G. Kh. Merzhanova
    • 1
  1. 1.Institute of Higher Nervous Activity and NeurophysiologyRussian Academy of SciencesMoscowRussia
  2. 2.Moscow Physicotechnical InstituteMoscowRussia

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