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Author: Bärbel Hüsing
Publisher: vdf Hochschulverlag AG
ISBN: 3728130656
Category : Brain
Languages : en
Pages : 369
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Book Description
Author: Bärbel Hüsing
Publisher: vdf Hochschulverlag AG
ISBN: 3728130656
Category : Brain
Languages : en
Pages : 369
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Book Description
Author: John R Absher
Publisher: Academic Press
ISBN: 0128011661
Category : Medical
Languages : en
Pages : 422
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Book Description
Neuroimaging Personality, Social Cognition, and Character covers the science of combining brain imaging with other analytical techniques for use in understanding cognition, behavior, consciousness, memory, language, visual perception, emotional control, and other human attributes. Multidimensional brain imaging research has led to a greater understanding of character traits such as honesty, generosity, truthfulness, and foresight previously unachieved by quantitative mapping. This book summarizes the latest brain imaging research pertaining to character with structural and functional human brain imaging in both normal individuals and those with brain disease or disorder, including psychiatric disorders.By reviewing and synthesizing the latest structural and functional brain imaging research related to character, this book situates itself into the larger framework of cognitive neuroscience, psychiatric neuroimaging, related fields of research, and a wide range of academic fields, such as politics, psychology, medicine, education, law, and religion. - Provides a novel innovative reference on the emerging use of neuroimaging to reveal the biological substrates of character, such as optimism, honesty, generosity, and others - Features chapters from leading physicians and researchers in the field - Contains full-color text that includes both an overview of multiple disciplines and a detailed review of modern neuroimaging tools as they are applied to study human character - Presents an integrative volume with far-reaching implications for guiding future imaging research in the social, psychological and medical sciences, and for applying these findings to a wide range of non-clinical disciplines such as law, politics, and religion - Connects brain structure and function to human character and integrates modern neuroimaging techniques and other research methods for this purpose
Author: Daniel Laskowitz
Publisher: CRC Press
ISBN: 1498766579
Category : Medical
Languages : en
Pages : 388
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Book Description
Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the developme
Author: Frederik Barkhof
Publisher: Springer Science & Business Media
ISBN: 3642008186
Category : Medical
Languages : en
Pages : 295
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Book Description
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.
Author: Eric Nofzinger
Publisher: Cambridge University Press
ISBN: 1107018633
Category : Medical
Languages : en
Pages : 445
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Book Description
An up-to-date, superbly illustrated practical guide to the effective use of neuroimaging in the patient with sleep disorders. The only book to date to provide comprehensive coverage of this topic. A must for all healthcare workers interested in understanding the causes, consequences and treatment of sleep disorders.
Author: Xavier Pennec
Publisher: Academic Press
ISBN: 0128147261
Category : Computers
Languages : en
Pages : 636
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Book Description
Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology Content includes: - The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs - Applications of statistics on manifolds and shape spaces in medical image computing - Diffeomorphic deformations and their applications As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science. - A complete reference covering both the foundations and state-of-the-art methods - Edited and authored by leading researchers in the field - Contains theory, examples, applications, and algorithms - Gives an overview of current research challenges and future applications
Author: Luca Saba
Publisher: Springer
ISBN: 3319480464
Category : Medical
Languages : en
Pages : 509
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Book Description
Authored by world renowned scientists, this book expertly reviews all the imaging techniques and exciting new methods for the analysis of the pain, including novel tracers, biomarker, metabolomic and gene-array profiling, together with cellular, genetic, and molecular approaches. Recent advances in human brain imaging techniques have allowed a better understand of the functional connectivity in pain pathways, as well as the functional and anatomical alterations that occur in chronic pain patients. Modern imaging techniques have permitted rapid progress in the understanding of networks in the brain related to pain processing and those related to different types of pain modulation. Neuroimaging of Pain is designed to be a valuable resource for radiologists, neuroradiologists, neurologists and neuroscientists, working in hospitals and universities from junior trainees to consultants.
Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0128165863
Category : Computers
Languages : en
Pages : 1074
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Book Description
Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. - Presents the key research challenges in medical image computing and computer-assisted intervention - Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society - Contains state-of-the-art technical approaches to key challenges - Demonstrates proven algorithms for a whole range of essential medical imaging applications - Includes source codes for use in a plug-and-play manner - Embraces future directions in the fields of medical image computing and computer-assisted intervention
Author: Kenneth M. Heilman
Publisher: Cambridge University Press
ISBN: 1108688497
Category : Medical
Languages : en
Pages :
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Book Description
This book describes the changes in the brain and in cognitive functions that occur with aging in the absence of a neurological, psychiatric, or medical disease. It discusses aging-related changes in many brain functions, including memory, language, sensory perception, motor function, creativity, attention, executive functions, emotions and mood. The neural mechanisms that may account for specific aging-related changes in cognition, perception and behavior are explored, as well as the means by which aging-related cognitive decrements can be managed and possibly ameliorated. Consequently, this book will be of value to clinicians, including neurologists, psychiatrists, geriatricians, primary care physicians, psychologists and speech-language pathologists. In addition, researchers and graduate students who want to learn about the aging brain will find this an indispensable guide.
Author: Hernando Ombao
Publisher: CRC Press
ISBN: 1482220989
Category : Mathematics
Languages : en
Pages : 702
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Book Description
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.
