Literature DB >> 2224283

Analysis of binary trees when occasional multifurcations can be considered as aggregates of bifurcations.

R W Verwer1, J Van Pelt.   

Abstract

The geometrical properties of neurons are important for the way they function within neural circuits. The arborescent processes of neurons that are necessary for the transmission of the information are formed by branching and elongation of segments. In studies that model the outgrowth the tree structures have generally been considered as binary. However, multifurcations do occur. It will be shown that if the multifurcations can be considered as aggregates of bifurcations they may be included in the topological analysis of neuronal branching patterns.

Mesh:

Year:  1990        PMID: 2224283     DOI: 10.1007/bf02462102

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  28 in total

1.  Application of network analysis to the study of the branching patterns of dendritic fields.

Authors:  M Berry; T Hollingworth; E M Anderson; R M Flinn
Journal:  Adv Neurol       Date:  1975

2.  Sequential and synchronous growth models related to vertex analysis and branching ratios.

Authors:  K Horsfield; M J Woldenberg; C L Bowes
Journal:  Bull Math Biol       Date:  1987       Impact factor: 1.758

3.  Parameter estimation in topological analysis of binary tree structures.

Authors:  R W Verwer; J Van Pelt; A J Noest
Journal:  Bull Math Biol       Date:  1987       Impact factor: 1.758

4.  Suppression of neurite elongation and growth cone motility by electrical activity.

Authors:  C S Cohan; S B Kater
Journal:  Science       Date:  1986-06-27       Impact factor: 47.728

Review 5.  The growth cone in neurite extension.

Authors:  D Bray; M B Bunge
Journal:  Ciba Found Symp       Date:  1973

6.  The branching pattern in dendrites of cortical neurons.

Authors:  G J Smit; H B Uylings; L Veldmaat-Wansink
Journal:  Acta Morphol Neerl Scand       Date:  1972-05

7.  A new method for the topological analysis of neuronal tree structures.

Authors:  R W Verwer; J van Pelt
Journal:  J Neurosci Methods       Date:  1983-08       Impact factor: 2.390

8.  Growth models (including terminal and segmental branching) for topological binary trees.

Authors:  J Van Pelt; R W Verwer
Journal:  Bull Math Biol       Date:  1985       Impact factor: 1.758

9.  Intrinsic and extrinsic determinants of dendritic development as revealed by Golgi studies of cerebellar and hippocampal transplants in oculo.

Authors:  D J Woodward; A Seiger; L Olson; B J Hoffer
Journal:  Exp Neurol       Date:  1977-12       Impact factor: 5.330

10.  Dendritic growth and the control of neuronal form.

Authors:  M Berry; P McConnell; J Sievers
Journal:  Curr Top Dev Biol       Date:  1980       Impact factor: 4.897

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  4 in total

1.  Tree asymmetry--a sensitive and practical measure for binary topological trees.

Authors:  J Van Pelt; H B Uylings; R W Verwer; R J Pentney; M J Woldenberg
Journal:  Bull Math Biol       Date:  1992-09       Impact factor: 1.758

2.  Automated Sholl analysis of digitized neuronal morphology at multiple scales: Whole cell Sholl analysis versus Sholl analysis of arbor subregions.

Authors:  Christopher G Langhammer; Michelle L Previtera; Eric S Sweet; Simranjeet S Sran; Maxine Chen; Bonnie L Firestein
Journal:  Cytometry A       Date:  2010-12       Impact factor: 4.355

3.  An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology.

Authors:  Sumit Nanda; Shatabdi Bhattacharjee; Daniel N Cox; Giorgio A Ascoli
Journal:  STAR Protoc       Date:  2021-06-02

4.  Assessing effects on dendritic arborization using novel Sholl analyses.

Authors:  Kate M O'Neill; Barbara F Akum; Survandita T Dhawan; Munjin Kwon; Christopher G Langhammer; Bonnie L Firestein
Journal:  Front Cell Neurosci       Date:  2015-07-30       Impact factor: 5.505

  4 in total

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