Literature DB >> 2600850

Dendrites of cat's spinal motoneurones: relationship between stem diameter and predicted input conductance.

D Kernell1, B Zwaagstra.   

Abstract

1. The electroanatomy of motoneuronal dendrites was analysed using data from fifty-two dendritic trees of four completely reconstructed cat spinal motoneurones that had been labelled with intracellularly injected horseradish peroxidase. The cells belonged to m. triceps surae, and their physiological properties covered much of the known range for this muscle. 2. For each dendritic tree, the input conductance, as seen from the soma, was calculated by the method of Rall (1959), using anatomical measurements of the length and diameter of all branches and different assumed values for dendritic membrane resistivity. 3. There was a strong positive correlation between dendritic stem diameter and the calculated dendritic input conductance. Dendritic input conductance was approximately equal to a constant x (stem diameter)3/2 x (dendritic membrane resistivity)-0.76. 4. The relationship between dendritic stem diameter and computed input conductance was equal to that of Rall's equivalent-cylinder model of a dendritic tree. However, from a number of other points of view, the properties of the reconstructed dendrites differed from those of the model: (a) at branch points, the sum sigma(daughter diameters 3/2) was, on average, 19% greater than the 3/2 power of the parent diameter; (b) dendritic branches often showed a significant amount of tapering, and the mean overall degree of diameter decrease per branch was about 12%; (c) the termination of dendritic branches occurred at widely different distances from the soma within single dendritic trees (true for anatomical as well as for computed electrotonic distances). 5. When used in conjunction with previously published measurements of motoneuronal input resistance and proximal anatomy (Kernell & Zwaagstra, 1981), the present results gave further support to the conclusion that differences in membrane resistivity are of great importance for differences in motoneuronal input resistance. Furthermore, this conclusion was also confirmed by direct observation of the properties of the present four motoneurones: irrespective of the assumed ratio between somatic and dendritic membrane resistivity, there was a statistically significant positive correlation between the measured neuronal input resistance and the required membrane resistivity of soma and dendrites.

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Year:  1989        PMID: 2600850      PMCID: PMC1189099          DOI: 10.1113/jphysiol.1989.sp017652

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  24 in total

1.  Stimulation of spinal motoneurones with intracellular electrodes.

Authors:  K FRANK; M G FUORTES
Journal:  J Physiol       Date:  1956-11-28       Impact factor: 5.182

2.  Specific membrane resistivity of dye-injected cat motoneurons.

Authors:  J N Barrett; W E Crill
Journal:  Brain Res       Date:  1971-05-21       Impact factor: 3.252

3.  The time course of minimal excitory post-synaptic potentials evoked in spinal motoneurones by group Ia afferent fibres.

Authors:  J J Jack; S Miller; R Porter; S J Redman
Journal:  J Physiol       Date:  1971-06       Impact factor: 5.182

4.  A quantitative light microscopic study of the dendrites of cat spinal alpha-motoneurons after intracellular staining with horseradish peroxidase.

Authors:  B Ulfhake; J O Kellerth
Journal:  J Comp Neurol       Date:  1981-11-10       Impact factor: 3.215

5.  Input resistance, electrical excitability, and size of ventral horn cells in cat spinal cord.

Authors:  D Kernell
Journal:  Science       Date:  1966-06-17       Impact factor: 47.728

6.  Sizes of soma and stem dendrites in intracellularly labelled alpha-motoneurones of the cat.

Authors:  B Zwaagstra; D Kernell
Journal:  Brain Res       Date:  1981-01-12       Impact factor: 3.252

7.  Input conductance axonal conduction velocity and cell size among hindlimb motoneurones of the cat.

Authors:  D Kernell; B Zwaagstra
Journal:  Brain Res       Date:  1981-01-12       Impact factor: 3.252

8.  Direct observations on the contacts made between Ia afferent fibres and alpha-motoneurones in the cat's lumbosacral spinal cord.

Authors:  A G Brown; R E Fyffe
Journal:  J Physiol       Date:  1981       Impact factor: 5.182

9.  Specific membrane properties of cat motoneurones.

Authors:  J N Barrett; W E Crill
Journal:  J Physiol       Date:  1974-06       Impact factor: 5.182

10.  An analysis of the cable properties of spinal motoneurones using a brief intracellular current pulse.

Authors:  R Iansek; S J Redman
Journal:  J Physiol       Date:  1973-11       Impact factor: 5.182

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  7 in total

1.  Modeling motoneuron firing properties: dependency on size and calcium dynamics.

Authors:  M J van der Heyden; A A Hilgevoord; L J Bour; B W Ongerboer de Visser
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

2.  Size and remoteness: two relatively independent parameters of dendrites, as studied for spinal motoneurones of the cat.

Authors:  D Kernell; B Zwaagstra
Journal:  J Physiol       Date:  1989-06       Impact factor: 5.182

3.  Threshold-spacing in motoneurone pools of rat and cat: possible relevance for manner of force gradation.

Authors:  R Bakels; D Kernell
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

4.  Matching between motoneurone and muscle unit properties in rat medial gastrocnemius.

Authors:  R Bakels; D Kernell
Journal:  J Physiol       Date:  1993-04       Impact factor: 5.182

5.  Somato-dendritic morphology and dendritic signal transfer properties differentiate between fore- and hindlimb innervating motoneurons in the frog Rana esculenta.

Authors:  András Stelescu; János Sümegi; Ildikó Wéber; András Birinyi; Ervin Wolf
Journal:  BMC Neurosci       Date:  2012-06-18       Impact factor: 3.288

6.  Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling.

Authors:  Arnault H Caillet; Andrew T M Phillips; Dario Farina; Luca Modenese
Journal:  PLoS Comput Biol       Date:  2022-09-29       Impact factor: 4.779

7.  Statistical Laws of Protein Motion in Neuronal Dendritic Trees.

Authors:  Fabio Sartori; Anne-Sophie Hafner; Ali Karimi; Andreas Nold; Yombe Fonkeu; Erin M Schuman; Tatjana Tchumatchenko
Journal:  Cell Rep       Date:  2020-11-17       Impact factor: 9.423

  7 in total

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