Artículo

La versión final de este artículo es de uso interno de la institución.
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

Time series of core temperature in golden hamsters with or without access to a running wheel were analyzed using statistical tools and Dynamical Systems theory. Although the statistical analysis did not show any striking differences between the two groups (other than clearer spectra in the case in the animals with access to wheels), a clear dynamical difference was found. The circadian temperature of hamsters with access to wheel running exhibited fewer degrees of freedom than those without access to them (1728 vs 11548). Thus, it may be argued that wheel running synchronizes the circadian organization of hamsters. © 1994 Academic Press Limited.

Registro:

Documento: Artículo
Título:Statistical and dynamical analysis of circadian rhythms
Autor:Ortega, G.J.; Romanelli, L.; Golombek, D.A.
Filiación:Departmento de Fisica Facultad Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pabellón 1, 1428 Capital Federal, Buenos Aires, Argentina
Departmento de Fisiología, Universidad de Buenos Aires, Facultad de Medicina, Buenos Aries, Argentina
Department of Psychology, University of Toronto, Toronto, Canada
Palabras clave:circadian rhythm; golden hamster; Mesocricetus auratus
Año:1994
Volumen:169
Número:1
Página de inicio:15
Página de fin:21
DOI: http://dx.doi.org/10.1006/jtbi.1994.1126
Título revista:Journal of Theoretical Biology
Título revista abreviado:J. THEOR. BIOL.
ISSN:00225193
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00225193_v169_n1_p15_Ortega

Referencias:

  • Albano, A.M., Muench, J., Schwartz, C., Mees, A., Rapp, P., Singular value decomposition and the Grassberger-Procaccia algorithm (1988) Phys. Rev. A., 38, pp. 3017-3026
  • Babloyantz, A., Destexhe, A., Low-dimensional chaos in an instance of epilepsy (1986) Proc. Nacl. Acad. Sei. U.S.A., 83, p. 3513
  • Bingham, C., Arbogast, B., Cornelissen Guillame, G., Lee, J.K., Halberg, F., Inferential statistical method for estimating uncompared cosinor parameter (1982) Chronobiologia, 9, p. 397
  • Bracewell, R., Numerical transforms (1990) Science, 248, pp. 697-704
  • Broomhead, D.S., King, G., Extracting qualitative dynamics from experimental data (1986) Physica, 120, pp. 217-236
  • Conn, C., Borer, K., Kluger, M., Body temperature rhythm and response to pyrogen in excercising and sedentary hamsters (1990) Med. Sci. Sports Exerc., 22, pp. 636-642
  • Daan, S., Berde, C.J., Two coupled oscillators: Simulation of the circadian pacemaker in mammalian activity rhythms (1978) J. Theor. Biol., 70, pp. 292-313
  • Daan, S., Beersma, D., Borbely, A., Timing of human sleep recovery process gated by circadian pacemaker (1984) Am. J. Physiol., 246, pp. R161-R178
  • Dowse, H.B., Ringo, J.M., The search for hidden periodicities in biological time series revisited (1989) J. Theor. Biol., 139, pp. 487-515
  • Eckmann, J., Ruelle, D., Ergodic theory of chaos and strange attractors (1985) Rev. Mod. Phys., 57 (3), pp. 617-656
  • Eubank, S., Farmer, J., An introduction to chaos and randomness (1989) Lectures in Complex System, 2. , (Jen, E., ed.). Redwood City, CA: Addison-Wesley
  • Golombek, D., Ortega, G., Cardinal, D., Wheel running raises body temperature and changes the daily cycle in golden hamsters (1993) Physiol. Behav., 53, pp. 1049-1054
  • Grassberger, P., Procaccia, I., Characterization of strange attractors (1983) Phys. Rev. Lett., 50 (5), pp. 346-349
  • Grassberger, P., Procaccia, I., Measuring the strangeness of strange attractors (1983) Physica, pp. 189-208
  • Jenkings, G.M., Watts, D., (1968) Spectral Analysis and Its Applications., , Holden-Day Series in Time Series Analysis. San Francisco: Holden-Day
  • Kostelich, E., Swjnney, H., Practical considerations in estimating dimension from time series data (1989) Physica Scripta, 40, pp. 436-441
  • Kronauer, R., Czeisler, C., Pilato, S., Moore-Ede, M., Weitzman, E., Mathematical model of the human circadian system with two interacting oscillators (1982) Am. J. Physiol., 242, pp. RR3-R17
  • Kronauer, R., A model for the effect of light on the human “deep” circadian pacemaker (1987) Sleep Res, 16, p. 621
  • Mrososvsky, N., Reebs, S., Honrado, G., Salmon, P., A behavioral entrainment of circadian rhythms (1989) Experientia, 45, pp. 696-702
  • Mrososvsky, N., Salmon, P., A behavioral method for accelerating re-entrainment of rhythms to new dark-light cycles (1987) Nature, Lond, 330, pp. 372-373
  • Ortega, G., Golombek, D., Otero, D., Romanelli, L., Cardinali, D., Effect of zeitgeber intensity reduction on a simulated dual-oscillator human circadian system: Classical and dynamical analysis (1992) Chronobiol. Int., 9 (2), pp. 137-147
  • Packard, N., Crutchfield, J.P., Farmer, J.D., Shaw, R.S., Geometry from time series (1980) Phys. Rev. Lett., 45 (9), pp. 712-716
  • Papoulis, A., (1965) Probability, Random Variables and Stochastic Processes, , New York: Mc Graw-Hill
  • Pavlidis, T., Population of interacting oscillators and circadian rhythms (1969) J. Theor. Biol, 22, pp. 418-436
  • Press, W., Flannery, S., Teukolsky, S., Vetterling, W., (1986) Numerical Recipes: The Art of Scientific Computing, , New York: Cambridge University Press
  • Press, W.H., Teukolsky, S.A., Search algorithm for weak periodic signals in unevenly spaced data (1988) Comp, in Phys, 6, pp. 77-82
  • Rosenwasser, A., Adler, N., Structure and function in circadian timing systems:Evidence for multiple coupled circadian oscillators (1986) Neurosci. Biobehav. Rev., 10, pp. 431-448
  • Roux, J.C., Simoyi, R.H., Swinney, H.L., Observation of a strange attractor (1983) Physica, p. 257
  • Takens, F., Detecting strange attractors in turbulence (1981) Lecture Notes in Mathematics, 898. , Berlin: Springer Verlag
  • Vautard, R., Ghil, M., Singular spectrum analysis in nonlinear dynamics with applications to paleoclimatic time series (1989) Physica, pp. 395-424
  • Wever, R., Possibilities of phase control, demonstrated by an electronic model (1960) Cold Spring Harbor. Symp. Quant, Biol., 25, pp. 197-206
  • Winfree, A.T., Biological rhythm and the behavior of population of coupled oscillators (1967) J. Theor. Biol., 16, pp. 14-42
  • Wolff, A., Swift, B., Swinney, H., Vastano, J., Determining Lyapunov exponent from a time series (1985) Physica, pp. 285-317

Citas:

---------- APA ----------
Ortega, G.J., Romanelli, L. & Golombek, D.A. (1994) . Statistical and dynamical analysis of circadian rhythms. Journal of Theoretical Biology, 169(1), 15-21.
http://dx.doi.org/10.1006/jtbi.1994.1126
---------- CHICAGO ----------
Ortega, G.J., Romanelli, L., Golombek, D.A. "Statistical and dynamical analysis of circadian rhythms" . Journal of Theoretical Biology 169, no. 1 (1994) : 15-21.
http://dx.doi.org/10.1006/jtbi.1994.1126
---------- MLA ----------
Ortega, G.J., Romanelli, L., Golombek, D.A. "Statistical and dynamical analysis of circadian rhythms" . Journal of Theoretical Biology, vol. 169, no. 1, 1994, pp. 15-21.
http://dx.doi.org/10.1006/jtbi.1994.1126
---------- VANCOUVER ----------
Ortega, G.J., Romanelli, L., Golombek, D.A. Statistical and dynamical analysis of circadian rhythms. J. THEOR. BIOL. 1994;169(1):15-21.
http://dx.doi.org/10.1006/jtbi.1994.1126