Written by many scientists and clinicians from China, USA, Canada and other countries, this monograph discusses translational research on acupuncture. Besides general topics on acupuncture practice (e.g., different styles and techniques of acupuncture), topics include some refractory diseases such as chronic fatigue syndrome, Parkinson’s disease, cardiovascular dysfunction, chronic pain, post-concussion syndrome and post-traumatic stress disorder and cancer-related symptoms. The factors influencing acupuncture research are comprehensively addressed in the final chapter. This unique book provides a translational perspective on modern acupuncture for not only acupuncturists, but also neuroscientists, neurologists, and other clinicians. For medical students and undergraduate and graduate students majoring in biology, this book is an advanced course for learning the progress in alternative and complementary Medicine.

Written by over 60 scientists and clincicians from the United States, mainland China, Germany, Australia, Japan, Sweden, Portugal and Hong Kong, Current Research in Acupuncture discusses recent advances in acupuncture research in a modern scientific language. The first 5 chapters investigate the basic mechanisms of acupuncture. Later chapters explore topics including acupuncture treatment and potential mechanisms for epilepsy, Parkinson’s diseases, neurodegenerative disorders such as Alzheimer’s disease, vascular cognitive impairment, aging, anxiety, polycystic ovary syndrome, pain, nerve root cervical spondylosis, stroke, imflamation, myocardial ischemia and other cardiovascular diseases. Following the translational and clinical discussions, 4 chapters present new prospects for acupuncture theories and applications. The final chapter comments on the pitfalls and problems of the previous studies and suggests direction for future research towards in-depth understanding of acupuncture, along with better application of acupuncture in modern medicine. Each chapter is written by one or more experts in the field. This unique book provides a broad perspective on the principles of acupuncture for acupuncture researchers and neuroscientists. The laboratory and clinical investigations of various acupoints and optimal conditions provide unique clues to acupuncturists for improved clinical efficacy. For a medical student, this book is a modern course in ancient Traditional Chinese Medicine, especially acupuncture. Ying Xia, the chief editor, is Professor and Vice-Chairman of the Department of Neurosurgery at The University of Texas Medical School in Houston, Texas, USA. Guanghong Ding is Professor in the Department of Mechanics and Engineering Science at Fudan University and Director of Shanghai Research Center for Acupuncture and Meridians, Shanghai, China. Gen-Cheng Wu is Professor of Neurobiology; Chairman, Department of Integrative Medicine and Neurobiology; Director, Institute of Acupuncture Research; and Director, WHO Collaborating Center for Traditional Medicine, at Shanghai Medical College of Fudan University, Shanghai, China.

This is the first book to set out a full range of research strategies for evaluating the clinical practice of acupuncture. Leading acupuncturists and researchers with international reputations share their expertise. They illustrate their descriptions with practical examples of what has worked and what has not. It outlines many of the key challenges in the field. These challenges relate to the nature of acupuncture and the gap between current research evidence and the actual experiences of acupuncturists in the field. By focusing the chapters on key research questions, rather than methods, the book has a user-friendly feel. Each chapter is easily accessible with brief explanations of research designs as well as vignettes of relevant past research. The book is based on a deep understanding of acupuncture, with its inherent complexity in practice, whether based on traditional principles or more modern concepts. By incorporating a more sophisticated understanding of the field, this book details a range of strategies aiming to develop the evidence base with the utmost rigour. It is the first book on acupuncture research to take this unique view, integrating the very best of evidence-based medicine with a genuine sensitivity to the discipline of acupuncture, from its traditional and holistic roots to its more modern interpretations.

This book is a printed edition of the Special Issue "Acupuncture – Basic Research and Clinical Application" that was published in Medicines

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.