Literature DB >> 11465996

Use of fractal theory in neuroscience: methods, advantages, and potential problems.

E Fernández1, H F Jelinek.   

Abstract

Fractal analysis has already found widespread application in the field of neuroscience and is being used in many other areas. Applications are many and include ion channel kinetics of biological membranes and classification of neurons according to their branching characteristics. In this article we review some practical methods that are now available to allow the determination of the complexity and scaling relationships of anatomical and physiological patterns. The problems of describing fractal dimensions are discussed and the concept of fractal dimensionality is introduced. Several related methodological considerations, such as preparation of the image and estimation of the fractal dimensions from the data points, as well as the advantages and problems of fractal geometric analysis, are discussed. Copyright 2001 Academic Press.

Mesh:

Year:  2001        PMID: 11465996     DOI: 10.1006/meth.2001.1201

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  31 in total

1.  Fractal intermediates in the self-assembly of silicatein filaments.

Authors:  Meredith M Murr; Daniel E Morse
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-09       Impact factor: 11.205

2.  Non-parametric algorithmic generation of neuronal morphologies.

Authors:  Benjamin Torben-Nielsen; Stijn Vanderlooy; Eric O Postma
Journal:  Neuroinformatics       Date:  2008-09-17

3.  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

4.  3D structural complexity analysis of cerebellum in Chiari malformation type I.

Authors:  Engin Akar; Sadık Kara; Hidayet Akdemir; Adem Kırış
Journal:  Med Biol Eng Comput       Date:  2017-06-07       Impact factor: 2.602

Review 5.  Micro-connectomics: probing the organization of neuronal networks at the cellular scale.

Authors:  Manuel Schröter; Ole Paulsen; Edward T Bullmore
Journal:  Nat Rev Neurosci       Date:  2017-02-02       Impact factor: 34.870

6.  Tibolone Preserves Mitochondrial Functionality and Cell Morphology in Astrocytic Cells Treated with Palmitic Acid.

Authors:  Yeimy González-Giraldo; Luis Miguel Garcia-Segura; Valentina Echeverria; George E Barreto
Journal:  Mol Neurobiol       Date:  2017-06-30       Impact factor: 5.590

7.  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

8.  New Features for Neuron Classification.

Authors:  Leonardo A Hernández-Pérez; Duniel Delgado-Castillo; Rainer Martín-Pérez; Rubén Orozco-Morales; Juan V Lorenzo-Ginori
Journal:  Neuroinformatics       Date:  2019-01

9.  Automated detection of proliferative retinopathy in clinical practice.

Authors:  Audrey Karperien; Herbert F Jelinek; Jorge J G Leandro; João V B Soares; Roberto M Cesar; Alan Luckie
Journal:  Clin Ophthalmol       Date:  2008-03

10.  The role of interleukin-6 in the formation of the coronary vasculature.

Authors:  Indroneal Banerjee; John W Fuseler; Colby A Souders; Stephanie L K Bowers; Troy A Baudino
Journal:  Microsc Microanal       Date:  2009-08-27       Impact factor: 4.127

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