Traditional Chinese medicine: potential approaches from modern dynamical complexity theories

Despite the widespread use of traditional Chinese medicine (TCM) in clinical settings, proving its effectiveness via scientific trials is still a challenge. TCM views the human body as a complex dynamical system, and focuses on the balance of the human body, both internally and with its external environment. Such fundamental concepts require investigations using system-level quantification approaches, which are beyond conventional reductionism. Only methods that quantify dynamical complexity can bring new insights into the evaluation of TCM. In a previous article, we briefly introduced the potential value of Multiscale Entropy (MSE) analysis in TCM. This article aims to explain the existing challenges in TCM quantification, to introduce the consistency of dynamical complexity theories and TCM theories, and to inspire future system-level research on health and disease.

[1]  Jeffrey M. Hausdorff,et al.  A systems biology approach to studying Tai Chi, physiological complexity and healthy aging: design and rationale of a pragmatic randomized controlled trial. , 2013, Contemporary clinical trials.

[2]  Chung-Kang Peng,et al.  Adaptive Data Analysis of Complex Fluctuations in physiologic Time Series , 2009, Adv. Data Sci. Adapt. Anal..

[3]  C. Peng,et al.  What is physiologic complexity and how does it change with aging and disease? , 2002, Neurobiology of Aging.

[4]  P. Anderson More is different. , 1972, Science.

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

[6]  M. Javorka,et al.  The effect of orthostatic stress on multiscale entropy of heart rate and blood pressure. , 2011, Physiological measurement.

[7]  Jeffrey M. Hausdorff,et al.  Complexity-Based Measures Inform Effects of Tai Chi Training on Standing Postural Control: Cross-Sectional and Randomized Trial Studies , 2014, PloS one.

[8]  C. Peng,et al.  Applications of dynamical complexity theory in traditional Chinese medicine , 2014, Frontiers of Medicine.

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

[10]  Yiming Wang,et al.  Systems Biology for Traditional Chinese Medicine: Luo/Systems Biology TCM , 2012 .

[11]  Jeffrey M. Hausdorff,et al.  Fractal dynamics in physiology: Alterations with disease and aging , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[12]  C Koch,et al.  Complexity and the nervous system. , 1999, Science.

[13]  Francis S. Collins,et al.  Fixing problems with cell lines , 2014, Science.

[14]  H. Nyquist Thermal Agitation of Electric Charge in Conductors , 1928 .

[15]  Brad Manor,et al.  Complexity-based measures inform tai chi’s impact on standing postural control in older adults with peripheral neuropathy , 2013, BMC Complementary and Alternative Medicine.

[16]  Roger B. Davis,et al.  Blood pressure variability: can nonlinear dynamics enhance risk assessment during cardiovascular surgery? , 2014, Journal of Cardiothoracic and Vascular Anesthesia.

[17]  P. Tu,et al.  Complexity of spontaneous BOLD activity in default mode network is correlated with cognitive function in normal male elderly: a multiscale entropy analysis , 2013, Neurobiology of Aging.

[18]  S. Tsai,et al.  Complexity of mental illness: A new research dimension , 2013, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[19]  S. Tsai,et al.  Is mental illness complex? From behavior to brain , 2013, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[20]  Ronald N. Germain,et al.  The Art of the Probable: System Control in the Adaptive Immune System , 2001, Science.

[21]  Peter Cauwels,et al.  A Multiscale Entropy-Based Tool for Scoring Severity of Systemic Inflammation* , 2014, Critical care medicine.

[22]  U. Bhalla,et al.  Complexity in biological signaling systems. , 1999, Science.

[23]  Ioanna Chouvarda,et al.  Changes of heart and respiratory rate dynamics during weaning from mechanical ventilation: a study of physiologic complexity in surgical critically ill patients. , 2011, Journal of critical care.

[24]  Madalena Costa,et al.  Multiscale entropy analysis of biological signals. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Chung-Kang Peng,et al.  Multiscale Analysis of Heart Rate Dynamics: Entropy and Time Irreversibility Measures , 2008, Cardiovascular engineering.