Abstract
Averaged evoked potentials in the inferior colliculus (IC), medial geniculate nucleus (MG) and reticular formation (RF) of chronically implanted and freely moving cats were measured using auditory step functions in the form of tone bursts of 2000 Hz. The most prominent components of the AEP of the inferior colliculus were a positive wave of 13 msec and a negative wave of 40–55 msec latency. The AEP of the medial geniculate nucleus was characterized by a large negative wave peaking at 35–40 msec. During spindle sleep and slow wave sleep stages changes in the AEPs of both nuclei occured.
Transient evoked responses of the inferior colliculus, medial geniculate nucleus and reticular formation were transformed to the frequency domain using the Laplace transform (one sided Fourier transform) in order to obtain frequency characteristics of the systems under study. The amplitude characteristics of IC, MG. and RF obtained in this way revealed maxima in alpha (8–13 Hz), beta (18–35 Hz) and higher frequency (50–80 Hz) ranges. During spindle sleep stage a maximum in the theta frequency range (3–8 Hz) and during slow wave sleep maximum in the delta (1–3 Hz) frequency range appeared in the amplitude characteristics of these nuclei.
The amplitude characteristics of the inferior colliculus and medial geniculate nucleus were compared with the amplitude characteristics of other brain structures. The comparison of AEPs and amplitude frequency characteristics obtained using these AEPs reveals that the existence of a number of peaks (waves) with different latencies in the time course does not necessarily indicate the existence of different functional structures or neural groups giving rise to these waves. The entire time course of evoked potentials and not the number and latencies of the waves, carries, the whole information concerning different activities and frequency selectivities of brain structures.
Similar content being viewed by others
References
Başar, E.: A study of the time and frequency characteristics of the potentials evoked in the acoustical cortex. Kybernetik 10, 61–64 (1972a)
Başar, E.: Remarks on mathematical signal processing by the brain during rhythmic neurophysiological stimulation. Intern. J. Neuroscience 4, 71–76 (1972b)
Başar, E., Özesmi, Ç.: The hippocampal EEG-activity and a systems analytical interpretation of averaged evoked potentials of the brain. Kybernetik 12, 45–54 (1972)
Başar, E., Özesmi, Ç.: Systems theory of different stages of sleep. Electronenceph. clin. Neurophysiol. 34, 732 (1973)
Başar, E., Ungan, P.: A component analysis and principles derived for the understanding of evoked potentials of the brain: Studies in the hippocampus. Kybernetik 12, 133–140 (1973)
Başar, E., Weiss, Ch.: Analyse des Frequenzganges druckinduzierter Änderungen des Strömungswiderstandes isolierter Rattennieren. Pflügers Arch. 304, 121–135 (1968)
Freeman, W.J.: Linear analysis of the dynamics of neural masses. Ann. Rev. Biophys. Bioeng. 1, 225–256 (1972)
Horowitz, J. M.: Evoked activity of single units and neural populations in the hippocampus of the cat. Electronenceph. clin. Neurophysiol. 32, 227–240 (1972)
Lopes da Silva, F.H., Roterdam, A. van, Storm van Leeuwen, W., Tielen, A.M., Dynamic characteristics of visual evoked potentials in the dog. I. Cortical and subcortical potentials evoked by since wave modulated light. Electronenceph. clin. Neurophysiol. 29, 246–259 (1970)
Spekreijse, H.: Analysis of EEG responses in man evoked by sine wave modulated light. Thesis, University of Amsterdam (1966)
Tielen, A.M., Kamp, A., Lopes da Silva, F.H., Reneau, J., Storm van Leeuwen, W.: Evoked responses to sinusoidally modulated sound in unanaesthetized dogs. Electronenceph. clin. Neurophysiol. 26, 381–394 (1969)
Author information
Authors and Affiliations
Additional information
Supported by Turkish Scientific and Technical Research Council Grant TAG-266.
Rights and permissions
About this article
Cite this article
Özesmi, Ç., Başar, E. Dynamics of potentials evoked in the auditory pathway and reticular formation of the cat. Studies during waking and sleep stages. Kybernetik 16, 27–35 (1974). https://doi.org/10.1007/BF00270292
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF00270292