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Now in paperback, this text covers the dramatic developments that have occurred in basic neuroscience and clinical research in cognitive neurology and dementia. The text is based on the clinical approach to the patient, and provides essential knowledge that is fundamental to clinical practice.
A Life Course Approach to the Epidemiology of Chronic Diseases and Ageing, Third Edition outlines how biological and social factors during gestation, childhood, adolescence and earlier adult life influence later life health and disease. It also looks at whether and how to intervene to improve health outcomes. This revised third edition is fully updated to reflect the new data that has emerged as well as our new understanding of health and global challenges. It brings new chapters on a life course approach to the long-term health consequences of climate change and the COVID-19 pandemic. It examines the current and potential use of new technologies, methods and collaborative approaches in life course studies and provides updated reviews of the latest life course evidence for age-related chronic diseases. It discusses how life course research is being used, and could be used, to improve population health in high, middle, and low-income countries, identifying how and when interventions may be most effective. New chapters on multimorbidity, translational geroscience and exposomics have also been added.
Now in paperback, the Oxford Textbook of Cognitive Neurology and Dementia covers the dramatic developments that have occurred in the basic neuroscience and clinical research in both cognitive neurology and dementia in an integrated fashion. The text is firmly based on the clinical approach to the patient with cognitive impairment and dementia, while also providing the essential background scientific knowledge that is fundamental to clinical practice. Divided into three main sections, this book combines the basic science (Section 1) with different types of cognitive deficit or neuropsychological presentation (Section 2), and disease specific chapters (Section 3). With contributions from a range of international experts, this is essential reading for clinicians with an interest in cognition and dementia including neurologists, geriatricians and psychiatrists. It provides a powerful means of bringing together different aspects of conceptual understanding and factual knowledge, in a way that usually can only come after many years in the field.
Cerebrospinal Fluid in Neurologic Disorders, Volume 146 provides a brief overview on the current use of CSF in clinical routine, the physiology of CSF, and its usefulness and potential as a biomarker. The second part addresses the main purpose of the volume, describing CSF from a research perspective in context with the most important diagnostic entities in neurology. The book's authors provide insight into the current understanding of CSF changes in these various conditions and what it tells us about the nature of neurological diseases. Furthermore, methodological aspects are discussed, as are shortcomings that need to be addressed. Finally, the book provides an outlook for potential directions that can be explored to improve the various aspects of CSF research with the ultimate goal of being incorporated in clinical practice. Provides a brief overview on the current use of CSF in clinical routine, the physiology of CSF, and its usefulness and potential as a biomarker Addresses relevant research in context with the most important diagnostic entities in neurology Edited by leading authors in CSF research from around the globe, presenting the broadest, most expert coverage available
This book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015. The 22 full papers and 41 poster papers presented in this volume were carefully reviewed and selected from 195 submissions. They were organized in topical sections named: probabilistic graphical models; MRI reconstruction; clustering; statistical methods; longitudinal analysis; microstructure imaging; shape analysis; multi-atlas fusion; fast image registration; deformation models; and the poster session.
The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pe...
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histo...
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.
The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
This up-to-date, superbly illustrated book is a practical guide to the effective use of neuroimaging in the patient with cognitive decline. It sets out the key clinical and imaging features of the various causes of dementia and directs the reader from clinical presentation to neuroimaging and on to an accurate diagnosis whenever possible. After an introductory chapter on the clinical background, the available "toolbox" of structural and functional neuroimaging techniques is reviewed in detail, including CT, MRI and advanced MR techniques, SPECT and PET, and image analysis methods. The imaging findings in normal ageing are then discussed, followed by a series of chapters that carefully present and analyze the key findings in patients with dementias. Throughout, a practical approach is adopted, geared specifically to the needs of clinicians (neurologists, radiologists, psychiatrists, geriatricians) working in the field of dementia, for whom this book will prove an invaluable resource.