Fractal dynamics in physiology: Alterations with disease and aging

Proceedings of the National Academy of Sciences of the United States of America - Tập 99 Số suppl_1 - Trang 2466-2472 - 2002
Ary L. Goldberger1, Luı́s A. Nunes Amaral1, Jeffrey M. Hausdorff1, Plamen Ch. Ivanov1, Chung‐Kang Peng1, H. Eugene Stanley1
1Cardiovascular Division and Margret and H. A. Rey Laboratory for Nonlinear Dynamics in Medicine, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA 02215; and Center for Polymer Studies, Physics Department, Boston University, Boston, MA 02215

Tóm tắt

According to classical concepts of physiologic control, healthy systems are self-regulated to reduce variability and maintain physiologic constancy. Contrary to the predictions of homeostasis, however, the output of a wide variety of systems, such as the normal human heartbeat, fluctuates in a complex manner, even under resting conditions. Scaling techniques adapted from statistical physics reveal the presence of long-range, power-law correlations, as part of multifractal cascades operating over a wide range of time scales. These scaling properties suggest that the nonlinear regulatory systems are operating far from equilibrium, and that maintaining constancy is not the goal of physiologic control. In contrast, for subjects at high risk of sudden death (including those with heart failure), fractal organization, along with certain nonlinear interactions, breaks down. Application of fractal analysis may provide new approaches to assessing cardiac risk and forecasting sudden cardiac death, as well as to monitoring the aging process. Similar approaches show promise in assessing other regulatory systems, such as human gait control in health and disease. Elucidating the fractal and nonlinear mechanisms involved in physiologic control and complex signaling networks is emerging as a major challenge in the postgenomic era.

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Proceedings of the National Academy of Sciences of the United States of America

Tập 99 Số suppl_1

2466-2472

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