References
- Campbell SS, Tobler I. (1984). Animal sleep: A review of sleep duration across phylogeny. Neurosci Biobehav Rev. 8:269–300
- Comfort A. (1969). Effect of temperature on tail regeneration in Lebistes. Gerontologia. 15:248–51
- Davis FC, Viswanathan N. (1998). Stability of circadian timing with age in Syrian hamsters. Am J Physiol. 275:R960–8
- Finkel D, Whitfield K, McGue M. (1995). Genetic and environmental influences on functional age: A twin study. J Gerontol B: Psychol Sci Soc Sci. 50B:104–13
- Furukawa T, Inoue M, Kajiya F, et al. (1975). Assessment of biological age by multiple regression analysis. J Gerontol. 30:422–34
- Genade T, Benedetti M, Terzibasi Tozzini E, et al. (2005). Annual fishes of the genus Nothobranchius as a model system for aging research. Aging Cell. 4:223–33
- Gerhard GS. (2007). Small laboratory fish as models for aging research. Ageing Res Revs. 6:64–72
- Gerhard GS, Kauffman EJ, Wang X, et al. (2002). Life spans and senescent phenotypes in two strains of Zebrafish (Danio rerio). Exp Gerontol. 37:1055–68
- Gutman R, Genzer Y, Chapnik N, et al. (2011). Long-lived mice exhibit 24 h locomotor circadian rhythms at young and old age. Exp Gerontol. 46:606–9
- Hall M, Frank E, Holmes G, et al. (2009). The WEKA data mining software: An update. ACM SIGKDD Explorations Newsletter. 11:10–18
- Hatakeyama H, Nakamura KI, Izumiyama-Shimomura N, et al. (2008). The teleost Oryzias latipes shows telomere shortening with age despite considerable telomerase activity throughout life. Mech Ageing Dev. 129:550–7
- Herndon LA, Schmeissner PJ, Dudaronek JM, et al. (2002). Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans. Nature. 419:808–14
- Herrera M, Jagadeeswaran P. (2004). Annual fish as a genetic model for aging. J Gerontol A Biol Sci Med Sci. 59:B101–7
- Hsu A-L, Feng Z, Hsieh M-Y, Xu XZS. (2009). Identification by machine vision of the rate of motor activity decline as a lifespan predictor in C. elegans. Neurobiol Aging. 30:1498–503
- Hsu CY, Chiu YC, Hsu WL, Chan YP. (2008). Age-related markers assayed at different developmental stages of the annual fish Nothobranchius rachovii. J Gerontol A Biol Sci Med Sci. 63:1267–76
- Hulbert AJ. (2005). On the importance of fatty acid composition of membranes for aging. J Theor Biol. 234:277–88
- Hulbert AJ. (2007). Membrane fatty acids as pacemakers of animal metabolism. Lipids. 42:811–19
- Kotsiantis SB. (2007). Supervised machine learning: A review of classification techniques. Informatica. 31:249–68
- Libert S, Bonkowski, MS, Pointer K, et al. (2012). Deviation of innate circadian period from 24 h reduces longevity in mice. Aging Cell. 11:794–800
- Lipsitz LA, Goldberger AL. (1992). Loss of ‘complexity' and aging: Potential applications of fractals and chaos theory to senescence. JAMA. 267:1806–9
- Lucas-Sánchez A, Almaida-Pagán PF, Madrid JA, de Costa J, Mendiola P. (2011). Age-related markers in Nothobranchius korthausae: Fatty acid profile and locomotor activity rhythms. Exp Gerontol. 46:970–8
- Lucas-Sánchez A, Almaida-Pagán PF, Martínez-Nicolás AB, et al. (2013). Rest-activity circadian rhythms in aged Nothobranchius korthausae. The effects of melatonin. Exp Gerontol. 48:507–16
- Lucas-Sánchez A, Almaida-Pagán PF, Tocher DR, et al. (2014). Age-related changes in mitochondrial membrane composition of Nothobranchius rachovii. J Gerontol A Biol Sci Med Sci. 69:142–51
- Mailloux A, Benstaali C, Bogdan A, et al. (1999). Body temperature and locomotor activity as marker rhythms of aging of the circadian system in rodents. Exp Gerontol. 34:733–40
- Murray IM. (1951). Assessment of physiologic age by combination of several criteria -vision, hearing, blood pressure, and muscle force. J Gerontol. 6:120–6
- Ortiz-Tudela E, Martínez-Nicolás AB, Campos M, et al. (2010). A new integrated variable based on thermometry, actimetry and body position (TAP) to evaluate circadian system status in humans. PLoS Comput Biol. 6:e1000996
- Peng CK, Havlin S, Hausdorff JM, et al. (1995). Fractal mechanisms and heart rate dynamics: Long-range correlations and their breakdown with disease. J Electrocardiol. 28:59–65
- Pincus SM, Goldberger AL. (1994). Physiological time-series analysis: What does regularity quantify? Am J Physiol. 266:H1643–56
- Pincus Z, Smith-Vikos T, Slack FJ. (2011). MicroRNA predictors of longevity in Caenorhabditis elegans. PLoS Genet. 7:e1002306
- Pittendrigh CS, Daan S. (1974). Circadian oscillations in rodents: A systematic increase of their frequency with age. Science. 186:548–50
- Portaluppi F, Smolensky MH, Touitou Y. (2010). Ethics and methods for biological rhythm research on animals and humans beings. Chronobiol Int. 27:1911–29
- Suda H, Sato K, Shimizu Y. (2011). A further test of the equation of lifespan by C. elegans: Effective activation energy for aging and lifespan. Exp Gerontol. 46:569–78
- Terzibasi Tozzini E, Baumgart M, Battistoni G, Cellerino A. (2012). Adult neurogenesis in the short-lived teleost Nothobranchius furzeri: Localization of neurogenic niches, molecular characterization and effects of aging. Aging Cell. 11:241–51
- Terzibasi Tozzini E, Dorn A, et al. (2013). Parallel evolution of senescence in annual fishes in response to extrinsic mortality. BMC Evol Biol. 13:77
- Terzibasi Tozzini E, Lefrançois C, Domenici P, et al. (2009). Effects of dietary restriction on mortality and age-related phenotypes in the short-lived fish Nothobranchius furzeri. Aging Cell. 8:88–99
- Terzibasi Tozzini E, Valenzano DR, Benedetti M, et al. (2008). Large differences in aging phenotype between strains of the short-lived annual fish Nothobranchius furzeri. PLoS One. 3:e3866–13
- Turek FW, Penev P, Zhang Y, et al. (1995). Effects of age on the circadian system. Neurosci Biobehav Rev. 19:53–8
- Valenzano DR, Terzibasi Tozzini E, Cattaneo A, et al. (2006). Temperature affects longevity and age-related locomotor and cognitive decay in the short-lived fish Nothobranchius furzeri. Aging Cell. 5:275–8
- Van Someren EJW, Swaab DF, Colenda CC, et al. (1999). Bright light therapy: Improved sensitivity to Its effects on rest-activity rhythms in Alzheimer patients by application of nonparametric methods. Chronobiol Int. 16:505–18
- Varela M, Churruca J, González A, et al. (2006). Temperature curve complexity predicts survival in critically ill patients. Am J Resp Crit Care Med. 174:290–8
- Vikman S, Makikallio TH, Yli-Mayry S, et al. (1999). Altered complexity and correlation properties of R-R interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation. Circulation. 100:2079–84
- Weinert D. (2000). Age-dependent changes of the circadian system. Chronobiol Int. 17:261–83
- Weinert D. (2005). Ontogenetic development of the mammalian circadian system. Chronobiol Int. 22:179–205
- Weinert H, Weinert D. (1998). Circadian activity rhythms of laboratory mice during the last weeks of their life. Biol Rhythm Res. 29:159–78
- Zhdanova IV, Reebs SG. (2006). Circadian rhythms in fish. In: Sloman KA, Wilson RW, Balshine S, eds. Behaviour and physiology of fish. Amsterdam; London: Elsevier Academic Press, pp. 197–238