This repository contains the code for the analysis reported in Physical Review E 96, 022417.
Please note that this repository is not intended for wide-spread distribution. We are only making the code available so that other researchers may reproduce the results published in our manuscript.
Reduced motor control is one of the most frequent features associated with aging and disease. Nonlinear and fractal analyses have proved to be useful in investigating human physiological alterations with age and disease. Similar findings have not been established for any of the model organisms typically studied by biologists, though. If the physiology of a simpler model organism displays the same characteristics, this fact would open a new research window on the control mechanisms that organisms use to regulate physiological processes during aging and stress. Here, we use a recently introduced animal tracking technology to simultaneously follow tens of Caenorhabdits elegans for several hours and use tools from fractal physiology to quantitatively evaluate the effects of aging and temperature stress on nematode motility. Similarly to human physiological signals, scaling analysis reveals long-range correlations in numerous motility variables, fractal properties in behavioral shifts, and fluctuation dynamics over a wide range of timescales. These properties change as a result of a superposition of age and stress-related adaptive mechanisms that regulate motility.
- python -- python notebooks, scripts and modules
- c -- DFA source code in C and Makefile
- paper_figs -- folder with figures of our manuscript
- data -- data sets of worm trajectories (see data availability below)
- results -- folder to save results after running data analysis
Please contact me if you need the data used in this paper.
Luiz G. A. Alves, Peter B. Winter, Leonardo N. Ferreira, Renée M. Brielmann, Richard I. Morimoto, Luís A. N. Amaral, Long-range correlations and fractal dynamics in C. elegans: changes with aging and stress. Physical Review E 96, 022417