2004
DOI: 10.1016/j.jtbi.2003.11.032
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Non-stationary time series and the robustness of circadian rhythms

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Cited by 150 publications
(117 citation statements)
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References 34 publications
(35 reference statements)
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“…Also, there is very little change if the averaging is done over a small subset of the days in the dataset. For the T c profile, that is a reflection of the exceptional robustness (Refinetti, 2003) of the circadian rhythms observed in cattle (Piccione et al, 2003), which was found to be more robust than that of any mammalian species previously studied.…”
Section: Resultsmentioning
confidence: 90%
“…Also, there is very little change if the averaging is done over a small subset of the days in the dataset. For the T c profile, that is a reflection of the exceptional robustness (Refinetti, 2003) of the circadian rhythms observed in cattle (Piccione et al, 2003), which was found to be more robust than that of any mammalian species previously studied.…”
Section: Resultsmentioning
confidence: 90%
“…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: Discussionmentioning
confidence: 99%
“…For each parameter, the mean level of each rhythm was computed as the arithmetic mean of all values in the data set (9 data points), the amplitude of a rhythm was calculated as half the range of oscillation, which in its turn was computed as the difference between the peak and trough. Rhythm robustness was computed as a percentage of the maximal score attained by the chi-square periodogram statistic for ideal data sets of comparable size and 24 h periodicity (Refinetti, 2004). Robustness greater than 15% is above the noise level and indicates statistically significant rhythmicity.…”
Section: Discussionmentioning
confidence: 99%