Aging as a Process of Complexity Loss

Healthy physiologic function requires the integration of complex networks of control systems and feedback loops that operate on multiple scales in space and time. When measured continuously, the output of physiologic systems is highly complex, resulting in dynamic behavior that can be described using techniques derived from fractal analysis. These fractal-like physiologic processes enable an organism to adapt to the exigencies of everyday life. During normal human aging the degeneration of various tissues and organs, and the interruption of communication pathways between them, results in a loss of complexity of physiologic systems and, consequently, a reduced capacity to adapt to stress. Therefore, relatively minor perturbations such as new medications, a viral illness, or emotional trauma may result in serious disability and death. Fortunately, a number of novel interventions may be able to restore healthy dynamics in elderly individuals and enhance their ability to adapt to a variety of external stimuli.

[1]  B B Lerman,et al.  Nonlinear-dynamical arrhythmia control in humans , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[2]  T Seppänen,et al.  Power-law relationship of heart rate variability as a predictor of mortality in the elderly. , 1998, Circulation.

[3]  Manuel Montero-Odasso,et al.  Noise-enhanced vibrotactile sensitivity in older adults, patients with stroke, and patients with diabetic neuropathy. , 2002, Archives of physical medicine and rehabilitation.

[4]  A. Goldberger,et al.  Loss of 'complexity' and aging. Potential applications of fractals and chaos theory to senescence. , 1992, JAMA.

[5]  Jeffrey M. Hausdorff,et al.  Quantifying Fractal Dynamics of Human Respiration: Age and Gender Effects , 2002, Annals of Biomedical Engineering.

[6]  B. Winblad,et al.  Influence of social network on occurrence of dementia: a community-based longitudinal study , 2000, The Lancet.

[7]  A L Goldberger,et al.  Heart rate dynamics before spontaneous onset of ventricular fibrillation in patients with healed myocardial infarcts. , 1999, The American journal of cardiology.

[8]  H. Huikuri,et al.  Altered complexity and correlation properties of R-R interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation. , 1999, Circulation.

[9]  David Arenberg,et al.  Normal Human Aging: The Baltimore Longitudinal Study on Aging , 1984 .

[10]  A. Guyton,et al.  Textbook of Medical Physiology , 1961 .

[11]  Madalena Costa,et al.  Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.

[12]  V. Velanovich Fractal analysis of mammographic lesions: a feasibility study quantifying the difference between benign and malignant masses. , 1996, The American journal of the medical sciences.

[13]  B Suki,et al.  Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[14]  A. Goldberger Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside , 1996, The Lancet.

[15]  Jeffrey M. Hausdorff,et al.  Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease. , 1997, Journal of applied physiology.

[16]  Carson C. Chow,et al.  Human Balance out of Equilibrium: Nonequilibrium Statistical Mechanics in Posture Control , 1998 .

[17]  C. Stam,et al.  Decrease of non-linear structure in the EEG of Alzheimer patients compared to healthy controls , 1999, Clinical Neurophysiology.

[18]  M. Tinetti,et al.  A multifactorial intervention to reduce the risk of falling among elderly people living in the community. , 1994, The New England journal of medicine.

[19]  Donald O. Walter,et al.  Self-Organizing Systems , 1987, Life Science Monographs.

[20]  L. Lipsitz Dynamics of stability: the physiologic basis of functional health and frailty. , 2002, The journals of gerontology. Series A, Biological sciences and medical sciences.

[21]  Bruce J. West,et al.  Chaos and fractals in human physiology. , 1990, Scientific American.

[22]  L P Eberle,et al.  Preliminary evidence for the evolution in complexity of heart rate dynamics during autonomic maturation in neonatal swine. , 1997, Journal of the autonomic nervous system.

[23]  Bruce J. West,et al.  Chaos and fractals in human physiology. , 1990, Scientific American.

[24]  I. Rossman,et al.  Normal Human Aging: The Baltimore Longitudinal Study of Aging , 1986 .

[25]  J. Reginster,et al.  Effect of parathyroid hormone (1-34) on fractures and bone mineral density in postmenopausal women with osteoporosis. , 2001, The New England journal of medicine.

[26]  D. T. Kaplan,et al.  Aging and the complexity of cardiovascular dynamics. , 1991, Biophysical journal.

[27]  H. Huikuri,et al.  Fractal analysis and time- and frequency-domain measures of heart rate variability as predictors of mortality in patients with heart failure. , 2001, The American journal of cardiology.

[28]  A J Scheen,et al.  24-hour glucose profiles during continuous or oscillatory insulin infusion. Demonstration of the functional significance of ultradian insulin oscillations. , 1995, The Journal of clinical investigation.

[29]  D. Levy,et al.  Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. , 1997, Circulation.

[30]  A L Goldberger,et al.  Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. , 2000, Circulation.

[31]  Inda,et al.  A multicomponent intervention to prevent delirium in hospitalized older patients. , 1999, The New England journal of medicine.

[32]  B. Mandelbrot Fractal Geometry of Nature , 1984 .

[33]  H. Stanley,et al.  Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.

[34]  A L Goldberger,et al.  Physiological time-series analysis: what does regularity quantify? , 1994, The American journal of physiology.

[35]  J E McNamee,et al.  Fractal perspectives in pulmonary physiology. , 1991, Journal of applied physiology.

[36]  L. V. van Amelsvoort,et al.  Exercise training and heart rate variability in older people. , 1999, Medicine and science in sports and exercise.

[37]  L. Berkman,et al.  Psychosocial predictors of stroke outcomes in an elderly population. , 1993, Journal of gerontology.

[38]  R. Morin,et al.  Vasomotor instability preceding tilt-induced syncope: does respiration play a role? , 1997, Journal of applied physiology.