Literature DB >> 11396846

Scale invariance in biology: coincidence or footprint of a universal mechanism?

T Gisiger1.   

Abstract

In this article, we present a self-contained review of recent work on complex biological systems which exhibit no characteristic scale. This property can manifest itself with fractals (spatial scale invariance), flicker noise or 1/f-noise where f denotes the frequency of a signal (temporal scale invariance) and power laws (scale invariance in the size and duration of events in the dynamics of the system). A hypothesis recently put forward to explain these scale-free phenomomena is criticality, a notion introduced by physicists while studying phase transitions in materials, where systems spontaneously arrange themselves in an unstable manner similar, for instance, to a row of dominoes. Here, we review in a critical manner work which investigates to what extent this idea can be generalized to biology. More precisely, we start with a brief introduction to the concepts of absence of characteristic scale (power-law distributions, fractals and 1/f-noise) and of critical phenomena. We then review typical mathematical models exhibiting such properties: edge of chaos, cellular automata and self-organized critical models. These notions are then brought together to see to what extent they can account for the scale invariance observed in ecology, evolution of species, type III epidemics and some aspects of the central nervous system. This article also discusses how the notion of scale invariance can give important insights into the workings of biological systems.

Mesh:

Year:  2001        PMID: 11396846     DOI: 10.1017/s1464793101005607

Source DB:  PubMed          Journal:  Biol Rev Camb Philos Soc        ISSN: 0006-3231


  73 in total

1.  Complexity analysis of the temperature curve: new information from body temperature.

Authors:  Manuel Varela; Leticia Jimenez; Rosa Fariña
Journal:  Eur J Appl Physiol       Date:  2003-03-04       Impact factor: 3.078

2.  Pink landscapes: 1/f spectra of spatial environmental variability and bird community composition.

Authors:  David Storch; Kevin J Gaston; Jaroslav Cepák
Journal:  Proc Biol Sci       Date:  2002-09-07       Impact factor: 5.349

3.  Scale-free networks versus evolutionary drift.

Authors:  Teresa M Przytycka; Yi-Kuo Yu
Journal:  Comput Biol Chem       Date:  2004-10       Impact factor: 2.877

4.  Re-interpreting detrended fluctuation analyses of stride-to-stride variability in human walking.

Authors:  Jonathan B Dingwell; Joseph P Cusumano
Journal:  Gait Posture       Date:  2010-07       Impact factor: 2.840

5.  Scale invariance analysis for genetic networks applying homogeneity.

Authors:  Emmanuel Bernuau; Denis Efimov; Wilfrid Perruquetti
Journal:  J Math Biol       Date:  2015-08-25       Impact factor: 2.259

6.  Human cognition and a pile of sand: a discussion on serial correlations and self-organized criticality.

Authors:  Eric-Jan Wagenmakers; Simon Farrell; Roger Ratcliff
Journal:  J Exp Psychol Gen       Date:  2005-02

7.  Experimental allometry: effect of size manipulation on metabolic rate of colonial ascidians.

Authors:  Fumio Nakaya; Yasunori Saito; Tatsuo Motokawa
Journal:  Proc Biol Sci       Date:  2005-09-22       Impact factor: 5.349

8.  Observations on related ecological exponents.

Authors:  T Richard E Southwood; Robert M May; George Sugihara
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-25       Impact factor: 11.205

9.  Distinguishing cognitive effort and working memory load using scale-invariance and alpha suppression in EEG.

Authors:  Omid Kardan; Kirsten C S Adam; Irida Mance; Nathan W Churchill; Edward K Vogel; Marc G Berman
Journal:  Neuroimage       Date:  2020-02-14       Impact factor: 6.556

Review 10.  Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.

Authors:  Joseph P Cusumano; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-11-07       Impact factor: 2.161

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