A COMPARISON OF SOME DIFFERENT METHODS FOR PURIFYING CORE TEMPERATURE DATA FROM HUMANS

REFERENCES

• Aschoff J. Exogenous and endogenous components in circadian rhythms. Cold Spring Harbor Symp Quant Biol. 1960; 25: 11–28
   PubMedGoogle Scholar
• Aschoff J. Masking of circadian rhythms by zeitgebers as opposed to entrainment. Trends in chronobiology, W Hekkens, G Kerkhof, W Rietveld. Pergamon, OxfordUK 1988; 149–61
   Google Scholar
• Barrett J, Morris M, Lack L. The sleep evoked decrease of body temperature. Sleep Res. 1987; 16: 596
   Google Scholar
• Binkley S. Rhythm analysis of clipped data: examples using circadian data. J Comp Physiol. 1973; 85: 141–46
   Google Scholar
• Carrier J, Monk T. Estimating the endogenous circadian temperature rhythm without keeping people awake. J Biol Rhythms 1997; 12: 266–77
   PubMed Web of Science ®Google Scholar
• Czeisler C, Brown E, Ronda J, et al. A clinical method to assess the endogenous circadian phase (ECP) of the deep circadian oscillator in man. Sleep Res. 1985; 14: 295
   Google Scholar
• Eastman C. High-intensity light for circadian adaptation to a 12-h shift of the sleep schedule. Am J Physiol. 1992; 259: R428–36
   Google Scholar
• Folkard S. The pragmatic approach to masking. Chronobiol Int. 1989; 6: 55–64
   PubMed Web of Science ®Google Scholar
• Franken P, Tobler I, Borbely A. Sleep and waking have a major effect on the 24-hr rhythm of cortical temperature in the rat. J Biol Rhythms 1992; 7: 341–52
   PubMed Web of Science ®Google Scholar
• Girling A. Periodograms and spectral estimates for rhythm data. Biol Rhythm Res. 1995; 26: 149–72
   Web of Science ®Google Scholar
• Gordijn M, Beersma D, Korte H, et al. Testing the hypothesis of a circadian phase disturbance underlying depressive mood in nonseasonal depression. J Biol Rhythms 1998; 13: 132–47
   PubMed Web of Science ®Google Scholar
• Kedem B. Binary time series. Marcel Dekker, New York 1980
   Google Scholar
• Kedem B. Detection of periodicities by high-order crossings. J Time Series Anal. 1987; 8: 39–50
   Google Scholar
• Kitado M, Shirakawa S. Comparison of the relationship between peripheral skin temperature and deep body temperature from wakefulness to slow wave sleep onset in young and middle aged subjects. Jpn J Psychiatric Neurol. 1994; 48: 475–76
   Google Scholar
• Lewy A, Wehr T, Goodwin F, et al. Light suppresses melatonin secretion in humans. Science 1980; 210: 1267–69
   PubMed Web of Science ®Google Scholar
• Martin S, Eastman C. Medium-intensity light produces circadian rhythm adaptation to simulated night-shift work. Sleep 1998; 21: 154–65
   PubMed Web of Science ®Google Scholar
• Mills J, Minors D, Waterhouse J. Adaptation to abrupt time shifts of the oscillator(s) controlling human circadian rhythms. J Physiol. 1978; 285: 455–70
   PubMed Web of Science ®Google Scholar
• Minors D, Waterhouse J. The use of constant routines in unmasking the endogenous component of human circadian rhythms. Chronobiol Int. 1984; 1: 205–16
   PubMedGoogle Scholar
• Minors D, Waterhouse J. Masking in humans: the problem and some attempts to solve it. Chronobiol Int. 1989; 6: 29–53
   PubMed Web of Science ®Google Scholar
• Minors D, Waterhouse J. Investigating the endogenous component of human circadian rhythms: a review of some simple alternatives to constant routines. Chronobiol Int. 1992; 9: 55–78
   PubMed Web of Science ®Google Scholar
• Minors D, Waterhouse J. Separating the endogenous and exogenous components of the circadian rhythm of body temperature during nightwork using some “purification” models. Ergonomics 1993; 36: 497–507
   PubMed Web of Science ®Google Scholar
• Minors D, Akerstedt T, Waterhouse J. The adjustment of the circadian rhythm of body temperature to simulated time-zone transitions: a comparison of the effect of using raw versus unmasked data. Chronobiol Int. 1994; 11: 356–66
   PubMed Web of Science ®Google Scholar
• Minors D, Waterhouse J, Rietveld W. Constant routines and “purification” methods: do they measure the same thing. Biol Rhythm Res. 1996; 27: 166–74
   Web of Science ®Google Scholar
• Minors D, Folkard S, Waterhouse J. The shape of the endogenous circadian rhythm of rectal temperature in humans. Chronobiol Int. 1996; 13: 261–71
   PubMed Web of Science ®Google Scholar
• Minors D, Waterhouse J, Folkard S, et al. The effects of a 27-h “day” in the presence and absence of natural daylight. Biological clocks. Mechanisms and applications, Y Touitou. Elsevier, Amsterdam 1998; 205–208
   Google Scholar
• Mitchell P, Hoese E, Liu L, et al. Conflicting bright light exposure during night shifts impedes circadian adaptation. J Biol Rhythms 1997; 12: 5–15
   PubMed Web of Science ®Google Scholar
• Moog R, Hildebrandt G. Adaptation to shiftwork—experimental approaches with reduced masking effects. Chronobiol Int. 1989; 6: 65–75
   PubMed Web of Science ®Google Scholar
• Nakano T, Koyama E, Imai T, et al. Circadian rhythm estimation by core temperature filtered with simultaneously recorded physiological data. Meth Inform Med. 1997; 36: 306–10
   PubMed Web of Science ®Google Scholar
• Nelson W, Tong Y, Lee J, et al. Methods for cosinor-rhythmometry. Chronobiologia. 1979; 6: 305–23
   PubMedGoogle Scholar
• Owens D, Macdonald I, Benton D, et al. A preliminary investigation into individual differences in the circadian variation of meal tolerance: effects on mood and hunger. Chronobiol Int. 1996; 13: 435–47
   PubMed Web of Science ®Google Scholar
• Van Cauter E, Blackman J, Roland S, et al. Modulation of glucose regulation and insulin secretion by circadian rhythmicity and sleep. J Clin Invest. 1991; 88: 334–42
   Web of Science ®Google Scholar
• Waterhouse J, Minors D, Akerstedt T, et al. Relationship between sleep stages and short-term changes in rectal temperature in humans. Biol Rhythm Res. 1995; 26: 32–47
   Web of Science ®Google Scholar
• Waterhouse J, Minors D, Folkard S. Estimating the endogenous component of the circadian rhythm of rectal temperature in humans undergoing normal sleep/activity schedules. J Interdiscipl Cycle Res. 1993; 24: 197–11
   Google Scholar
• Waterhouse J, Minors D, Folkard S, et al. Lack of evidence that feedback from lifestyle alters the amplitude of the circadian pacemaker in humans. Chronobiol Int. 1998a; 16: 93–107
   Web of Science ®Google Scholar
• Waterhouse J, Minors D, Folkard S, et al. Light of domestic intensity produces phase shifts of the circadian oscillator in humans. Neurosci Lett. 1998b; 245: 97–100
   PubMed Web of Science ®Google Scholar
• Waterhouse J, Minors D, Weinert D, et al. Seeing through the environment into the body clock in humans. Biological clocks. Mechanisms and implications, Y Touitou. Elsevier, Amsterdam 1998; 151–58
   Google Scholar
• Waterhouse J, Weinert D, Minors D, et al. The effect of activity upon the waking temperature rhythm in humans. Chronobiol Int. 1998; 16: 343–57
   Web of Science ®Google Scholar
• Waterhouse J, Edwards B, Mugarza J, et al. Purification of masked temperature data from humans: some preliminary observations on a comparison of the use of an activity diary, wrist actimetry and heart-rate monitoring. Chronobiol Int. 1999; 16: 461–75
   PubMed Web of Science ®Google Scholar
• Weinert D, Waterhouse J. Diurnally changing effects of locomotor activity on body temperature in laboratory mice. Physiol Behav. 1998; 63: 837–43
   PubMed Web of Science ®Google Scholar
• Wever R. Internal interactions within the human circadian system: the masking effect. Experientia 1985; 41: 332–42
   PubMedGoogle Scholar
• Witting W, Mirmiran M. A mathematical model for studying the endogenous component of the circadian temperature rhythm and the effect of aging. Biol Rhythm Res. 1997; 28: 216–29
   Web of Science ®Google Scholar