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In the book "Mental Illnesses - Understanding, Prediction and Control" attention is devoted to the many background factors that are present in understanding public attitudes, immigration, stigma, and competencies surrounding mental illness. Various etiological and pathogenic factors, starting with adhesion molecules at one level and ending with abuse and maltreatment in childhood and youth at another level that are related to mental illness, include personality disorders that sit between mental health and illness. If we really understand the nature of mental illness then we should be able to not only predict but perhaps even to control it irrespective of the type of mental illness in question but also the degree of severity of the illness in order to allow us to predict their long-term outcome and begin to reduce its influence and costs to society. How can we integrate theory, research evidence, and specific ways to deal with mental illness? An attempt will be made in the last conclusive chapter of this volume.
This book presents the latest exciting advances in understanding of the structure and function of myelin in the central and peripheral nervous systems under normal and pathological conditions. Readers will find state of the art information from the perspectives of both basic neuroscience and clinical neurology and neuropathology. Detailed attention is paid to the findings and implications of recent research on the myelin-forming glial cells such as oligodendrocytes and Schwann cells. The discussion of myelin pathology encompasses a wide range of diseases and conditions, including, for example, multiple sclerosis, Pelizaeus-Merzbacher disease, traumatic brain and spinal cord injuries, brain tumors of glial cell origin, Charcot-Marie-Tooth disease, immune-mediated neuropathy, and diabetic neuropathy. The authors comprise researchers at the cutting edge of biotechnology and experts in the diseases discussed. The clearly written text is supported by numerous high-quality light and electron microscopy, CT, and MR images.
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