Literature DB >> 17723278

Application of fractal analysis to neuronal dendritic arborisation patterns of the monkey dentate nucleus.

Nebojsa T Milosević1, Dusan Ristanović, Radmila Gudović, Katarina Rajković, Dusica Marić.   

Abstract

The deep nuclei of the cerebellar cortex have not yet received adequate exploratory attention. An exception is represented by the pioneering work of Chan-Palay, published in 1977, on the dentate nucleus morphology. She has classified each individual cell in the dentatus of the monkey into one of six types. Although fractal analysis is presently the most prominent quantitative method for morphometric neuronal studies, no article referring to applications of this method to the analysis of cell types of the dentate nucleus has so far been published. In the present study we apply fractal analysis to this unsolved problem and calculate the fractal dimension for each dendritic arbour of a neuron. We will hereby prove that by application of fractal analysis to the dendritic arbours of these cells whilst ignoring other neuronal attributes allows for clear discrimination of only three cell types.

Mesh:

Year:  2007        PMID: 17723278     DOI: 10.1016/j.neulet.2007.08.009

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  2 in total

1.  A spatiotemporal characterization method for the dynamic cytoskeleton.

Authors:  Ghada Alhussein; Aya Shanti; Ilyas A H Farhat; Sara B H Timraz; Noaf S A Alwahab; Yanthe E Pearson; Matthew N Martin; Nicolas Christoforou; Jeremy C M Teo
Journal:  Cytoskeleton (Hoboken)       Date:  2016-04-27

2.  Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain.

Authors:  Nemanja Rajković; Bojana Krstonošić; Nebojša Milošević
Journal:  Comput Math Methods Med       Date:  2017-05-08       Impact factor: 2.238

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.