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The risks of using the chi-square periodogram to estimate the period of biological rhythms
by
Tackenberg, Michael C.
, Hughey, Jacob J.
in
Accuracy
/ Bias
/ Biological rhythms
/ Biology and Life Sciences
/ Chi-square test
/ Chi-square tests
/ Chronobiology
/ Circadian rhythm
/ Circadian rhythms
/ Engineering and Technology
/ Evaluation
/ Expected values
/ Fast Fourier transformations
/ Fourier transforms
/ Measurement
/ Methods
/ Pacemakers
/ Physical Sciences
/ Poisson distribution
/ Research and Analysis Methods
/ Rhythms
/ Simulation
/ Trigonometric functions
2021
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The risks of using the chi-square periodogram to estimate the period of biological rhythms
by
Tackenberg, Michael C.
, Hughey, Jacob J.
in
Accuracy
/ Bias
/ Biological rhythms
/ Biology and Life Sciences
/ Chi-square test
/ Chi-square tests
/ Chronobiology
/ Circadian rhythm
/ Circadian rhythms
/ Engineering and Technology
/ Evaluation
/ Expected values
/ Fast Fourier transformations
/ Fourier transforms
/ Measurement
/ Methods
/ Pacemakers
/ Physical Sciences
/ Poisson distribution
/ Research and Analysis Methods
/ Rhythms
/ Simulation
/ Trigonometric functions
2021
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Do you wish to request the book?
The risks of using the chi-square periodogram to estimate the period of biological rhythms
by
Tackenberg, Michael C.
, Hughey, Jacob J.
in
Accuracy
/ Bias
/ Biological rhythms
/ Biology and Life Sciences
/ Chi-square test
/ Chi-square tests
/ Chronobiology
/ Circadian rhythm
/ Circadian rhythms
/ Engineering and Technology
/ Evaluation
/ Expected values
/ Fast Fourier transformations
/ Fourier transforms
/ Measurement
/ Methods
/ Pacemakers
/ Physical Sciences
/ Poisson distribution
/ Research and Analysis Methods
/ Rhythms
/ Simulation
/ Trigonometric functions
2021
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The risks of using the chi-square periodogram to estimate the period of biological rhythms
Journal Article
The risks of using the chi-square periodogram to estimate the period of biological rhythms
2021
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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