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Parkinson's Disease
Parkinson's Disease, Volume 132 addresses new developments in the F33 study of this disease, highlighting how the lives of people with Parkinson’s have undergone dramatic changes in the last decade. New to this edition are chapters on the Hallmarks of clinical aspects PD throughout centuries, The motor syndrome of Parkinson disease, The non-motor features of Parkinson’s disease, The New Diagnostic Criteria for Parkinson's disease, Advances in the Clinical Differential diagnosis, Clinical assessments in PD : Scales and monitoring, Biomarkers of Parkinson’s disease: an Introduction, and the Genetics of Parkinson’s Disease: Genotype-Phenotype Correlations. The topics discussed in this comprehensive series provide a clearer understanding of the prodromal stage, genetics, strategies, routes of treatment, and development of non-dopaminergic therapies in Parkinson's Disease, both medical and surgical. Contains cutting-edge developments in the field Presents both motor and non-motor coverage
Guide to Assessment Scales in Parkinson’s Disease
This Guide assesses the key clinimetric attributes in the assessment of Parkinson's Disease (PD), with the intention to offer rapid and pragmatic information on the most relevant scales used in PD. Parkinson’s disease affects approximately 4 million people globally and is most commonly seen in people over the age of 50. The disease is a progressive disorder of the nervous system, and presents a number of movement and cognitive symptoms, thereby greatly affecting a patients quality of life. The use of scales for assessment in neurological disorders such as PD arises from the need to quantify disorders and states (such constructs as disability, symptoms, quality of life). Assessment scales a...
The Movement Disorders Prescriber's Guide to Parkinson's Disease
This concise, yet authoritative, clinical reference guide fulfils the needs of diverse clinicians, pharmacists and allied health professionals prescribing for Parkinson's disease and movement disorders in contemporary clinical practice. With chapters on newly approved drugs and their effects on motor and non-motor symptoms, information is also given on their use in particular populations including the elderly and patients with cognitive impairment. Each chapter includes pharmacological/biochemical rationale for drug use, a general guide to therapeutic use, pharmacokinetics, interaction profile, adverse effects, dosing and use, special population considerations, costs and value for money considerations, clinical vignette, a summary overview, and suggested reading. Ordered alphabetically and perfect for quick reference use, the guide is practical and essential for all prescribers with responsibility for patients with Parkinson's disease, including neurologists, geriatricians, internists, neurosurgeons, psychiatrists, family physicians, pharmacists as well as allied health professionals and resident, fellow, and student trainees in all related medical fields.
An Introduction to Pain and its relation to Nervous System Disorders
Introduction to Pain and its relation to Nervous System Disorders provides an accessible overview of the latest developments in the science underpinning pain research, including, but not limited to, the physiological, pathological and psychological aspects. This unique book fills a gap in current literature by focussing on the intricate relationship between pain and human nervous system disorders such as Autism, Alzheimer Disease, Parkinson’s Disease, Depression and Multiple Sclerosis. This fully illustrated, colour handbook will help non-experts, including advanced undergraduate and new postgraduate students, become familiar with the current, wide-ranging areas of research that cover ever...
Covid-19 and Parkinsonism
Covid-19 and Parkinsonism, Volume 165 in the International Review in Neurobiology series, highlights new advances in the field with this new volume presenting interesting chapters that cover a variety of topics, including Parkinsonism associated with viral infections, Covid-19 and nervous system pathology: bench to bedside, Prevalence of Covid-19 in Parkinson's Disease: acute settings and hospital, Covid-19 and Parkinson's Disease: clinical features, long COVID, Smell deficits in Covid-19 and possible links with Parkinson's Disease, Spotlight on non-motor symptoms and Covid-19, and a Summary of treatment paradigms in Parkinson's Disease patients and Covid-19. Additional sections cover Covid-...
Movement Disorders Curricula
This book offers a comprehensive approach to the wide range of movement disorders, an important specialty in the field of neurology, guiding readers from the phenomenology to diagnosis and management. Reflecting the latest developments in the field, it offers a unique summary of this dynamic area by pursuing a uniform approach to movement disorders curricula. Divided into three parts, Movement Disorders Curricula provides an authoritative overview of this growing branch of neurology. The first part presents the basic elements of movement disorders, including descriptions of the anatomy and physiology of the basal ganglia. It also features sections on clinical trials for movement disorders, practical skills, and rating scales. The second and third part examine in detail hypokinetic and hyperkinetic movement disorders, respectively. Equipping readers with the practical and research skills needed in the movement disorders field, the book offers a valuable tool to help them prepare for board examinations on general neurology, as well as for fellowships in movement disorders.
Digital Technologies in Movement Disorders
Digital Technologies in Movement Disorders, Volume Five updates on the latest advances in new technologies for the care of common conditions, including Parkinson's disease and other diseases. The book has been organized in four differentiated sections with chapters that cover an Introduction, key concepts, and overview of digital solutions, Applications of AI in MD, Digital Biomarkers in MD, Sensors basic concepts for the MD specialist, Wearable systems in MD, Quantitative gait analysis, The challenges and opportunities of remote evaluation in MD, Telemedicine in MD, ePROs, eCOA and other digital health solutions, HIFU, Telerrehabilition and other therapeutical applications of technology, and more. - Includes a multidisciplinary review of topics such as the input of care providers and engineers - Reviews new technological advances - Includes practice oriented technologies and innovations that have direct applications in the clinic
Levodopa-Induced Dyskinesia in Parkinson's Disease
This book aims to provide a single reference source on levodopa-induced dyskinesias (LID) from ‘bench to bedside’. Initial chapters review the clinical features and phenomenology of LID with video examples; epidemiology and genetic risk factors for LID are covered as a background to understanding risk factors for developing LID. The following chapters cover the latest preclinical studies aiming to understand the pathophysiology of LID at the cellular, neurochemical, neurophysiological and circuitry level with detailed discussion of mechanisms and future directions to take the field forward; clinical studies from phase II to phase IV; on going RCTs in LID and evidence-based medicine reviews of treatment options. Levodopa-Induced Dyskinesia in Parkinson’s Disease is aimed at an international audience of movement disorder neurologists; neuroscientists; trainees and graduate and post-graduate students.
Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges. This book is useful for research scholars and students involved in critical condition analysis and computation models.
