2007
DOI: 10.1080/09291010600903692
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Procedures for numerical analysis of circadian rhythms

Abstract: This article reviews various procedures used in the analysis of circadian rhythms at the populational, organismal, cellular and molecular levels. The procedures range from visual inspection of time plots and actograms to several mathematical methods of time series analysis. Computational steps are described in some detail, and additional bibliographic resources and computer programs are listed.

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Cited by 598 publications
(507 citation statements)
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References 148 publications
(169 reference statements)
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“…Each time series was analyzed by cosinor rhythmometry (Nelson et al, 1979;Refinetti et al, 2007) to identify four rhythmic parameters: mesor (mean level), amplitude (half the range of oscillation), acrophase (time of peak), and robustness (strength of rhythmicity, herewith denoted by the lower-case Greek latter ρ). The cosinor procedure assigns 100% robustness only to time series that are perfectly sinusoidal; however, natural biological noise always reduces the robustness of circadian rhythms, keeping it below 100% (Refinetti, 2004), and the strength of rhythmicity can be estimated by the cosinor procedure even when the wave form of the rhythm is not sinusoidal (Refinetti et al, 2007).…”
Section: Resultsmentioning
confidence: 99%
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“…Each time series was analyzed by cosinor rhythmometry (Nelson et al, 1979;Refinetti et al, 2007) to identify four rhythmic parameters: mesor (mean level), amplitude (half the range of oscillation), acrophase (time of peak), and robustness (strength of rhythmicity, herewith denoted by the lower-case Greek latter ρ). The cosinor procedure assigns 100% robustness only to time series that are perfectly sinusoidal; however, natural biological noise always reduces the robustness of circadian rhythms, keeping it below 100% (Refinetti, 2004), and the strength of rhythmicity can be estimated by the cosinor procedure even when the wave form of the rhythm is not sinusoidal (Refinetti et al, 2007).…”
Section: Resultsmentioning
confidence: 99%
“…The analytical procedure includes a component of inferential statistics to calculate the probability of events as extreme as those obtained under the assumption of the null hypothesis (Nelson et al, 1979;Refinetti et al, 2007). Only events with p < 0.05 were considered to be statistically significant.…”
Section: Resultsmentioning
confidence: 99%
“…25 Laboratory measurements of rectal temperature from each dog produced time series consisting of 17 equally spaced data points, which were analyzed by cosinor rhythmometry. 26,27 Four rhythmic parameters were determined for each time series: mesor (mean level), amplitude (half the range of excursion), acrophase (time of peak) and robustness (strength of rhythmicity computed as the fraction of the variance explained by the cosine model). The cosinor procedure uses an F-test to evaluate whether the amplitude of a cosine wave fitted to the data are significantly 40 (Nelson et al 26 ).…”
Section: Resultsmentioning
confidence: 99%
“…[15][16][17] A two-component model, consisting of cosine curves with periods of 24 and 12 h (to approximate the non-sinusoidal waveform of BP and HR), was fitted by least squares, yielding estimates of the MESOR (Midline Estimating Statistic Of Rhythm) and of each component's double amplitude and acrophase. Results from each group were further summarized by population-mean cosinor.…”
Section: Resultsmentioning
confidence: 99%