Literature DB >> 7752679

Determination of fractal dimension of physiologically characterized neurons in two and three dimensions.

F Caserta1, W D Eldred, E Fernandez, R E Hausman, L R Stanford, S V Bulderev, S Schwarzer, H E Stanley.   

Abstract

Although there is a growing interest in the application of fractal analysis in neurobiology, questions about the methodology have restricted its wider application. In this report we discuss some of the underlying principles for fractal analysis, we propose the cumulative-mass method as a standard method and we extend the applicability of fractal analysis to both 2 and 3 dimensions. We have examined the relationship between the method of log-log Sholl analysis and fractal analysis and have found that they correlate well. Measurements of physiologically characterized retinal ganglion cells indicate that different cell types can have significantly different fractal dimensions. Such differences may allow the correlation of the physiological type of a neuron with its morphological fractal dimension.

Mesh:

Year:  1995        PMID: 7752679     DOI: 10.1016/0165-0270(94)00115-w

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  29 in total

Review 1.  Mechanisms of dendritic maturation.

Authors:  Frederic Libersat; Carsten Duch
Journal:  Mol Neurobiol       Date:  2004-06       Impact factor: 5.590

2.  TBC1D24, an ARF6-interacting protein, is mutated in familial infantile myoclonic epilepsy.

Authors:  Antonio Falace; Fabia Filipello; Veronica La Padula; Nicola Vanni; Francesca Madia; Davide De Pietri Tonelli; Fabrizio A de Falco; Pasquale Striano; Franca Dagna Bricarelli; Carlo Minetti; Fabio Benfenati; Anna Fassio; Federico Zara
Journal:  Am J Hum Genet       Date:  2010-08-19       Impact factor: 11.025

Review 3.  Dendritic vulnerability in neurodegenerative disease: insights from analyses of cortical pyramidal neurons in transgenic mouse models.

Authors:  Jennifer I Luebke; Christina M Weaver; Anne B Rocher; Alfredo Rodriguez; Johanna L Crimins; Dara L Dickstein; Susan L Wearne; Patrick R Hof
Journal:  Brain Struct Funct       Date:  2010-02-24       Impact factor: 3.270

4.  The electrotonic structure of pyramidal neurons contributing to prefrontal cortical circuits in macaque monkeys is significantly altered in aging.

Authors:  Doron Kabaso; Patrick J Coskren; Bruce I Henry; Patrick R Hof; Susan L Wearne
Journal:  Cereb Cortex       Date:  2009-01-15       Impact factor: 5.357

5.  Assessment and comparison of neural morphology through metrical feature extraction and analysis in neuron and neuron-glia cultures.

Authors:  L Billeci; G Pioggia; F Vaglini; A Ahluwalia
Journal:  J Biol Phys       Date:  2009-04-29       Impact factor: 1.365

6.  Fractals in the nervous system: conceptual implications for theoretical neuroscience.

Authors:  Gerhard Werner
Journal:  Front Physiol       Date:  2010-07-06       Impact factor: 4.566

7.  Complexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivity.

Authors:  Jeffrey S Anderson; Brandon A Zielinski; Jared A Nielsen; Michael A Ferguson
Journal:  Hum Brain Mapp       Date:  2013-02-18       Impact factor: 5.038

8.  Cortical complexity as a measure of age-related brain atrophy.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neuroimage       Date:  2016-04-19       Impact factor: 6.556

9.  A Novel Technique for Visualizing and Analyzing the Cerebral Vasculature in Rodents.

Authors:  Arjang Salehi; Amandine Jullienne; Kara M Wendel; Mary Hamer; Jiping Tang; John H Zhang; William J Pearce; Richard A DeFazio; Zinaida S Vexler; Andre Obenaus
Journal:  Transl Stroke Res       Date:  2018-05-15       Impact factor: 6.829

10.  Measuring neuronal branching patterns using model-based approach.

Authors:  Artur Luczak
Journal:  Front Comput Neurosci       Date:  2010-10-20       Impact factor: 2.380

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