Fractal Activity Generated Independently by Medullary Sympathetic Premotor and Preganglionic Sympathetic Neurons

1 Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan 48823; and 2 Department of Pharmacology, Faculty of Medicine, Hacettepe University, 06100 Ankara, Turkey Submitted 24 February 2003; accepted in final form 12 March 2003 In anesthetized cats with cervical...

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Veröffentlicht in:Journal of neurophysiology 2003-07, Vol.90 (1), p.47-54
Hauptverfasser: Orer, Hakan S, Das, Mahasweta, Barman, Susan M, Gebber, Gerard L
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creator Orer, Hakan S
Das, Mahasweta
Barman, Susan M
Gebber, Gerard L
description 1 Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan 48823; and 2 Department of Pharmacology, Faculty of Medicine, Hacettepe University, 06100 Ankara, Turkey Submitted 24 February 2003; accepted in final form 12 March 2003 In anesthetized cats with cervical spinal cord transection, Fano factor analysis was used to test for time-scale invariant (fractal) fluctuations in spike counts of single preganglionic cervical sympathetic neurons (PSNs) and putative sympathetic premotor neurons located in the rostral ventrolateral medulla (RVLM) and caudal medullary raphe. The medullary neurons exhibited cardiac-related activity, and their axons projected to the spinal cord, as demonstrated by antidromic activation. The variance-to-mean spike count ratio (Fano factor) was plotted as a function of the window size used to count spikes. The Fano factor curves for seven PSNs, eight RVLM neurons, and eight raphe neurons contained a power law relationship extending over more than one time scale. In these cases, random shuffling of the interspike intervals in the original time series eliminated the power law relationship. Thus the power law relationships can be attributed to long-range correlations among interspike intervals rather than simply to the distribution of the intervals that is not changed by shuffling the data. It is concluded that PSNs and sympathetic premotor neurons in the medulla can independently generate fractal firing patterns. Address for reprint requests: G. L. Gebber, Dept. of Pharmacology and Toxicology, Michigan State Univ., East Lansing, MI 48824 (E-mail: gebber{at}msu.edu ).
doi_str_mv 10.1152/jn.00066.2003
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The medullary neurons exhibited cardiac-related activity, and their axons projected to the spinal cord, as demonstrated by antidromic activation. The variance-to-mean spike count ratio (Fano factor) was plotted as a function of the window size used to count spikes. The Fano factor curves for seven PSNs, eight RVLM neurons, and eight raphe neurons contained a power law relationship extending over more than one time scale. In these cases, random shuffling of the interspike intervals in the original time series eliminated the power law relationship. Thus the power law relationships can be attributed to long-range correlations among interspike intervals rather than simply to the distribution of the intervals that is not changed by shuffling the data. It is concluded that PSNs and sympathetic premotor neurons in the medulla can independently generate fractal firing patterns. Address for reprint requests: G. L. 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subjects Action Potentials
Animals
Autonomic Fibers, Preganglionic - physiology
Cats
Cervical Vertebrae
Decerebrate State
Electrophysiology
Factor Analysis, Statistical
Fractals
Medulla Oblongata - physiology
Neurons - physiology
Raphe Nuclei - physiology
Sympathetic Nervous System - physiology
title Fractal Activity Generated Independently by Medullary Sympathetic Premotor and Preganglionic Sympathetic Neurons
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