Journal
CHRONOBIOLOGY INTERNATIONAL
Volume 22, Issue 4, Pages 613-629Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/07420520500180371
Keywords
biological clock; dynamic models; maximum likelihood; amplitude recovery
Categories
Funding
- NCRR NIH HHS [M01-RR02635, M01 RR002635] Funding Source: Medline
- NIA NIH HHS [K12 AG000975, P01-AG00975, P01 AG009975] Funding Source: Medline
- NICHD NIH HHS [K02 HD045459-02, K02 HD045459-04, K02-HD045459, K02 HD045459, K02 HD045459-03, K02 HD045459-05, K02 HD045459-01] Funding Source: Medline
- NIGMS NIH HHS [R01 GM053559, R01-GM53559] Funding Source: Medline
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [K02HD045459] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR RESEARCH RESOURCES [M01RR002635] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM053559] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [P01AG009975, K12AG000975] Funding Source: NIH RePORTER
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At an organism level, the mammalian circadian pacemaker is a two-dimensional system. For these two dimensions, phase (relative timing) and amplitude of the circadian pacemaker are commonly used. Both the phase and the amplitude (A) of the human circadian pacemaker can be observed within multiple physiological measures-including plasma cortisol, plasma melatonin, and core body temperature (CBT)-all of which are also used as markers of the circadian system, Although most previous work has concentrated on changes in phase of the circadian system, critically timed light exposure can significantly reduce the amplitude of the pacemaker. The rate at which the amplitude recovers to its equilibrium level after reduction can have physiological significance. Two mathematical models that describe the phase and amplitude dynamics of the pacemaker have been reported. These models are essentially equivalent it) predictions of phase and in predictions of amplitude recovery for small changes from an equilibrium value (A = 1), but are markedly different in the prediction of recovery rates when A < 0.6. To determine which dynamic model best describes the amplitude recovery observed in experimental data; both models were fit to CBT data using a maximum likelihood procedure and compared using Akaike's Information Criterion (AIC). For all subjects, the model with the lower recovery rate provided a better fit to data in terms of AIC, supporting evidence that the amplitude recovery of the endogenous pacemaker is slow at low amplitudes.
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