Literature DB >> 33406069

The risks of using the chi-square periodogram to estimate the period of biological rhythms.

Michael C Tackenberg1,2, Jacob J Hughey1,2.   

Abstract

The chi-square periodogram (CSP), developed over 40 years ago, continues to be one of the most popular methods to estimate the period of circadian (circa 24-h) rhythms. Previous work has indicated the CSP is sometimes less accurate than other methods, but understanding of why and under what conditions remains incomplete. Using simulated rhythmic time-courses, we found that the CSP is prone to underestimating the period in a manner that depends on the true period and the length of the time-course. This underestimation bias is most severe in short time-courses (e.g., 3 days), but is also visible in longer simulated time-courses (e.g., 12 days) and in experimental time-courses of mouse wheel-running and ex vivo bioluminescence. We traced the source of the bias to discontinuities in the periodogram that are related to the number of time-points the CSP uses to calculate the observed variance for a given test period. By revising the calculation to avoid discontinuities, we developed a new version, the greedy CSP, that shows reduced bias and improved accuracy. Nonetheless, even the greedy CSP tended to be less accurate on our simulated time-courses than an alternative method, namely the Lomb-Scargle periodogram. Thus, although our study describes a major improvement to a classic method, it also suggests that users should generally avoid the CSP when estimating the period of biological rhythms.

Entities:  

Mesh:

Year:  2021        PMID: 33406069      PMCID: PMC7815206          DOI: 10.1371/journal.pcbi.1008567

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  18 in total

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Authors:  W J Schwartz; P Zimmerman
Journal:  J Neurosci       Date:  1990-11       Impact factor: 6.167

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Authors:  P G Sokolove; W N Bushell
Journal:  J Theor Biol       Date:  1978-05-08       Impact factor: 2.691

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4.  Laboratory instrumentation and computing: comparison of six methods for the determination of the period of circadian rhythms.

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5.  Cell-autonomous clock of astrocytes drives circadian behavior in mammals.

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Journal:  Science       Date:  2019-01-11       Impact factor: 47.728

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Authors:  Nicola J Smyllie; Johanna E Chesham; Ryan Hamnett; Elizabeth S Maywood; Michael H Hastings
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Authors:  M H Vitaterna; D P King; A M Chang; J M Kornhauser; P L Lowrey; J D McDonald; W F Dove; L H Pinto; F W Turek; J S Takahashi
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Journal:  Neuron       Date:  2008-04-10       Impact factor: 17.173

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