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Diseases of the Spinal Cord
The spinal cord is a long structure, conslstmg of white and grey matter, that not only serves to provide a neural connection between the brain and the body, but also contains neural circuits that are organized segmentally and that are responsive to central and peripheral sensory input. Thus the spinal cord is capable of some behavioural activity that is of clinical significance, and that is more evident when higher modulation is disturbed. The released activity of spasticity, and the disturbances of bladder and bowel control that occur in patients with spinal cord lesions are examples. The spinal cord is well protected within its bony canal but is, nonetheless, susceptible to compression by ...
Spinal Cord Disease
Spinal Cord Injury or disease can happen to anyone at any time and the effects can be devastating. I found this out personally when I was thrown from the back of a pick up truck at age 15 was left paralyzed from the waist down. It was during my recuperation as a young teenager that I first gained insight into the importance of rehabilitation. My family, doctors, nurses, fellow patients and researchers who were dedicated to helping me over come my personal tragedy helped me pull through. Today, rehabilita tion medicine is taking great strides and empowering the person with the injury to take control of their future, overcome their setbacks and, through collaborative support, reach their perso...
Electrodiagnosis in Diseases of Nerve and Muscle
Intended for clinicians who perform electrodiagnostic procedures as an extension of their clinical examination, and for neurologists and physiatrists who are interested in neuromuscular disorders and noninvasive electrodiagnostic methods, particularly those practicing electromyography (EMG) this book provides a comprehensive review of most peripheral nerve and muscle diseases, including specific techniques and locations for performing each test.
Sir Charles Bell
Sir Charles Bell (1774-1842), the Scottish anatomist-surgeon, was a true polymath. His original ideas on the nervous system have been likened to those of William Harvey on the circulation of blood, and his privately published pamphlet detailing his ideas about the brain has been called the Magna Carta of neurology. He described the separate functions of different parts of the nervous system, new nerves and muscles, and several previously unrecognized neurological disorders, and he characterized the features of the facial palsy and its associated features now named after him. His sketches and paintings of the wounded from the Napoleonic Wars and his essays on the anatomical basis of expressio...
Landmark Papers in Neurology
Current understanding of neurological disease has been evolving over the past 150 years. With the increasing and earlier sub-specialization of neurology trainees, and their variable exposure to higher academic study, there is little opportunity to put this development into a historical context as a whole. Understanding the 'evidence-base', or appreciating the lack of it in some cases, is an important part of training but this is rarely presented in a palatable, entertaining form. Part of the Landmark Papers in series, this book brings together the ten most important papers for each sub-speciality within neurology, covering the full range of major neurological conditions. Papers have been selected by leading international experts, who not only summarize what each paper showed, but place them into a wider context that makes a coherent story of how their sub-speciality has developed.
Probabilistic Reasoning in Multiagent Systems
This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.
