The Structure of Chaos An Empirical Comparison of Fractal Physiology Complexity Indices Using NeuroKit2.pdf (7.07 MB)
The structure of chaos: an empirical comparison of fractal physiology complexity indices using NeuroKit2
journal contribution
posted on 2023-06-10, 06:10 authored by Dominique MakowskiDominique Makowski, An S Te, Tam Pham, Zen J Lau, S H Annabel ChenComplexity quantification, through entropy, information theory and fractal dimension indices, is gaining a renewed traction in psychophsyiology, as new measures with promising qualities emerge from the computational and mathematical advances. Unfortunately, few studies compare the relationship and objective performance of the plethora of existing metrics, in turn hindering reproducibility, replicability, consistency, and clarity in the field. Using the NeuroKit2 Python software, we computed a list of 112 (predominantly used) complexity indices on signals varying in their characteristics (noise, length and frequency spectrum). We then systematically compared the indices by their computational weight, their representativeness of a multidimensional space of latent dimensions, and empirical proximity with other indices. Based on these considerations, we propose that a selection of 12 indices, together representing 85.97% of the total variance of all indices, might offer a parsimonious and complimentary choice in regards to the quantification of the complexity of time series. Our selection includes CWPEn, Line Length (LL), BubbEn, MSWPEn, MFDFA (Max), Hjorth Complexity, SVDEn, MFDFA (Width), MFDFA (Mean), MFDFA (Peak), MFDFA (Fluctuation), AttEn. Elements of consideration for alternative subsets are discussed, and data, analysis scripts and code for the figures are open-source.
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Publication status
- Published
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- Published version
Journal
EntropyISSN
1099-4300Publisher
MDPI AGExternal DOI
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8Volume
24Page range
a1036 1-12Event location
SwitzerlandDepartment affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-02-06First Open Access (FOA) Date
2023-02-06First Compliant Deposit (FCD) Date
2023-02-04Usage metrics
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