Evidence map›Paper›PMID 33406069›Full record

ArticlePLoS computational biology2021

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

Michael C Tackenberg, Jacob J Hughey

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
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  5. Temperature and COScientific reports · 2025
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  10. A transcriptional program underlying the circannual rhythms of gonadal development in medaka.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael C TackenbergDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0003-0220-865X
Jacob J HugheyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0002-1558-6089

Funding

A Multi-scale Approach to the Mammalian Circadian System and Its Role in Human Health and Disease - Administrative SupplementR35GM124685 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HUGHEY, JACOB J · 2017 to 2021
$2.1M
NIGMS NIH HHS R35 GM124685
6 · The paper itself

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.

Indexed as

Chi-Square DistributionAnimalsBiasCircadian RhythmComputational BiologyData Interpretation, StatisticalMiceModels, BiologicalResearch Design

Identifiers

PMID33406069
PMCPMC7815206

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.