Alzheimers disease is a common problem that is becoming progressively more prevalent and burdensome to the world. Through better recognition of this disease and more precise diagnosis, led by brain imaging in the appropriate clinical context, it is our

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.

The reference is a broad-ranging review of Alzheimer's disease and other dementias from both basic and clinical neuroscience perspectives; it provides scientists and medical professionals with an extensive introduction and an up-to-date review of cutting-edge scientific advances. Brings the reader up-to-date with cutting-edge developments in this exciting and fast-paced field Summarizes the most recent developments in the fields of Alzheimer's disease and dementia Brings together articles from a prominent and international group of contributors Encompasses a unique range of topics, combining basic molecular perspectives and cognitive neurosciences

An easy-to-use reference to the major brain imaging technology, rich in illustrations and including discussions of which technique is best used in particular instances of care.

Dementia is a massive and increasing global problem, with the current prevalence anticipated to double every 20 years as people live longer. Neuroimaging in dementia is recommended by most clinical guidelines and its role has traditionally been to exclude a mass lesion, rather than to support a specific diagnosis. All radiologists will be aware of a steady rise in the number of requests for brain imaging in old people, but what can imaging reliably tell us and what kind of imaging should we use? In affluent societies we now have a range of structural and molecular brain imaging techniques at our disposal, with specific ligands and sophisticated image analysis techniques now available for clinical use. However, we have difficulty justifying which patients to scan, using which modality and when. We know that Alzheimer's disease is the most common neuropathology contributing to a diagnosis of Alzheimer's disease but we also know from large post-mortem studies that most brain pathology in those who have died with a diagnosis of dementia is mixed. Thus understanding different diseases that can cause dementia, how these co-exist or interact and appreciating that not all dementia is Alzheimer's disease is important. Equally important is awareness of individual differences in response to a neuropathological burden and what factors provide resilience against dementia that might be maximized to reduce or postpone its impact. This issue draws together contributions from experts in their fields to provide clarity to the topic in a comprehensive collection of articles.

This book is designed to provide a foundation of information necessary to those wishing to integrate brain imaging into their practice or who seek more training. Information is provided to assist the clinician in interpreting images, determining which scans to order, and how images should be used in the clinic.

Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson’s and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer’s disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders