Literature DB >> 10491946

Are neurons multifractals?

E Fernández1, J A Bolea, G Ortega, E Louis.   

Abstract

In the last few years, fractal analysis has found widespread application in the field of neuroscience and some investigators are starting to use multifractals as a methodology that may provide information about the distribution of fractal dimensions in biological structures. This is so, despite of the technical difficulties of multifractal analysis. In this paper, we investigate the theoretical and practical aspects of studying and measuring the multifractal dimensions of neurons. Patterns were analysed by means of the standard box-counting method and a generalised sand-box method. Our results show that odd behaviours of Dq reported in the literature are a consequence of numerical deficiencies of the box-counting method and cannot be associated to peculiar geometrical characteristics of neurons. Instead the sand-box method gives a Dq which monotonically decreases with q. Although this result may indicate that neurons are multifractals, it is argued that size effects may in fact be the origin of this apparent multifractality.

Mesh:

Year:  1999        PMID: 10491946     DOI: 10.1016/s0165-0270(99)00066-7

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


  3 in total

1.  Multifractal properties of a closed contour: a peek beyond the shape analysis.

Authors:  Paulo Duarte-Neto; Borko Stošić; Tatijana Stošić; Rosangela Lessa; Milorad V Milošević; H Eugene Stanley
Journal:  PLoS One       Date:  2014-12-26       Impact factor: 3.240

2.  How neurons exploit fractal geometry to optimize their network connectivity.

Authors:  Julian H Smith; Conor Rowland; B Harland; S Moslehi; R D Montgomery; K Schobert; W J Watterson; J Dalrymple-Alford; R P Taylor
Journal:  Sci Rep       Date:  2021-01-27       Impact factor: 4.379

3.  Investigating Fractal Analysis as a Diagnostic Tool That Probes the Connectivity of Hippocampal Neurons.

Authors:  Conor Rowland; Bruce Harland; Julian H Smith; Saba Moslehi; John Dalrymple-Alford; Richard P Taylor
Journal:  Front Physiol       Date:  2022-06-23       Impact factor: 4.755

  3 in total

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