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A critical summary of the state of the art of PET technology and related disciplines (camera physics, radiochemistry, radiopharmacology, computerised brain atlases and databases, etc.), plus a survey of the most recent developments in the clinical and neuroscience applications of PET. The chapters systematically guide the reader from the basics of the technique - including new camera designs, new drugs, and new statistical and image processing approaches - through its most important clinical applications - in neurology, psychiatry and oncology - to the most sophisticated neuroscience applications, including research into human sensory and motor systems, the functional organisation of imagery, volition, attention and consciousness in the human brain.
This book includes research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organisation of the neural systems supporting human behaviour. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Coverage includes novel brain imaging methods, analyses for detecting or localising neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioural paradigms and neural-systems modelling.
Volume 1-5, covering entries A-Z, presents information on diseases and disorders, tests and procedures, body systems, health professions, and current health issues.
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.