Products related to Neuroimaging:
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Pediatric Neuroimaging
This newest addition of the comprehensive Pediatric Neuroimaging combines thousands of images with detailed textual descriptions to help you diagnose a wide range of brain, spinal, and head and neck disorders in the pediatric patient.The authors have chosen a clear, concise writing style that encourages you to grasp information quickly.By dealing with a broad range of disorders, from everyday problems to less common ones, and explaining how to recognize and differentiate them, this book offers you the opportunity to provide a concise differential diagnosis on most patients you are likely to encounter in your practice.Packed with more than 2,500 high-quality illustrations, drawings, photographs, and figures. Emphasizes CT and MRI imagery—widely regarded as the optimal modalities for assessing and diagnosing children. Most chapters organized by disease group, and describe the pathologic bases of each disorder to illustrate important clinical contexts. Broadly discusses common imaging techniques in children, as well as images of normal childhood development in the brain, skull, and spine. Prominently displayed lists of disorders help quickly identify a disorder within the text.Enrich Your eBook Reading Experience with Enhanced Video, Audio and Interactive Capabilities!Read directly on your preferred device(s ), such as computer, tablet, or smartphoneEasily convert to audiobook , powering your content with natural language text-to-speechAdapt for unique reading needs , supporting learning disabilities, visual/auditory impairments, second-language or literacy challenges, and more
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Neuroimaging in Dementia
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.
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Pocket Tutor Neuroimaging
Titles in the Pocket Tutor series give practical guidance on subjects that medical students and foundation doctors need help with ‘on the go’, at a highly-affordable price that puts them within reach of those rotating through modular courses or working on attachment.Topics reflect information needs stemming from today’s integrated undergraduate and foundation courses: Common presentations Investigation options (e.g.ECG, imaging) Clinical and patient-orientated skills (e.g. examinations, history-taking)The highly-structured, bite-size content helps novices combat the ‘fear factor’ associated with day-to-day clinical training, and provides a detailed resource that students and junior doctors can carry in their pocket.
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Introduction to Human Neuroimaging
Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques.Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods.Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses.Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study.Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.
Price: 54.99 £ | Shipping*: 0.00 £
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How can I prevent photo curation on Apple?
To prevent photo curation on Apple, you can disable the "For You" tab in the Photos app. This tab uses machine learning to curate and display your photos in different categories. To disable it, go to the Photos app, tap on the "For You" tab, and then tap on the "See All" button. From there, tap on the three-dot icon in the top right corner and select "Turn off For You." This will prevent the app from curating your photos.
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What is C networking?
C networking refers to the use of the C programming language to develop networking applications. C is a powerful and efficient language that allows developers to create low-level network programming code for tasks such as socket programming, data transmission, and network protocol implementation. C networking is commonly used in the development of network servers, clients, and other network-related applications due to its speed and flexibility in handling network communication. By using C for networking, developers have fine-grained control over network operations and can optimize performance for specific networking tasks.
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Multivariate Analysis for Neuroimaging Data
This book describes methods for statistical brain imaging data analysis from both the perspective of methodology and from the standpoint of application for software implementation in neuroscience research.These include those both commonly used (traditional established) and state of the art methods.The former is easier to do due to the availability of appropriate software.To understand the methods it is necessary to have some mathematical knowledge which is explained in the book with the help of figures and descriptions of the theory behind the software.In addition, the book includes numerical examples to guide readers on the working of existing popular software.The use of mathematics is reduced and simplified for non-experts using established methods, which also helps in avoiding mistakes in application and interpretation.Finally, the book enables the reader to understand and conceptualize the overall flow of brain imaging data analysis, particularly for statisticians and data-scientists unfamiliar with this area.The state of the art method described in the book has a multivariate approach developed by the authors’ team.Since brain imaging data, generally, has a highly correlated and complex structure with large amounts of data, categorized into big data, the multivariate approach can be used as dimension reduction by following the application of statistical methods.The R package for most of the methods described is provided in the book.Understanding the background theory is helpful in implementing the software for original and creative applications and for an unbiased interpretation of the output.The book also explains new methods in a conceptual manner.These methodologies and packages are commonly applied in life science data analysis.Advanced methods to obtain novel insights are introduced, thereby encouraging the development of new methods and applications for research into medicine as a neuroscience.
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Neuroimaging in Neurogenic Communication Disorders
Neuroimaging in Neurogenic Communication Disorders provides a comprehensive review of cases utilizing neuroimaging in neurogenic communication disorders.Basic knowledge of neuroanatomy and medical conditions related to these speech and language disorders are discussed.Each case study includes information on neuroanatomy, case presentation, neuroimaging, differential diagnosis, and final diagnosis.This book is written for medical students, practitioners and researchers in neuroscience and speech language pathology. Neurogenic communication disorders are caused by damage to the central or peripheral nervous system.This damage can be caused by Parkinson’s disease, stroke, dementia, traumatic brain injury, brain tumors, and other neurologic disorders and causes issues such as aphasia, dysarthria and apraxia.
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Data Science for Neuroimaging : An Introduction
Data science methods and tools—including programming, data management, visualization, and machine learning—and their application to neuroimaging researchAs neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales.Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice.This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data.Through guided, hands-on explorations of openly available neuroimaging datasets, the book explains such elements of data science as programming, data management, visualization, and machine learning, and describes their application to neuroimaging.Readers will come away with broadly relevant data science skills that they can easily translate to their own questions. • Fills the need for an authoritative resource on data science for neuroimaging researchers• Strong emphasis on programming• Provides extensive code examples written in the Python programming language• Draws on openly available neuroimaging datasets for examples• Written entirely in the Jupyter notebook format, so the code examples can be executed, modified, and re-executed as part of the learning process
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Methods for Analyzing Large Neuroimaging Datasets
This Open Access volume explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets.The chapters in this book are organized in four parts.Part One shows the researcher how to access and download large datasets, and how to compute at scale.Part Two covers best practices for working with large data, including how to build reproducible pipelines and how to use Git.Part Three looks at how to do structural and functional preprocessing data at scale, and Part Four describes various toolboxes for interrogating large neuroimaging datasets, including machine learning and deep learning approaches.In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Authoritative and comprehensive, Methods for Analyzing Large Neuroimaging Datasets is a valuable resource that will help researchers obtain the practical knowledge necessary for conducting robust and reproducible analyses of large neuroimaging datasets.
Price: 44.99 £ | Shipping*: 0.00 £
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What does horizontal tagging mean?
Horizontal tagging refers to the practice of tagging content with keywords or metadata that are related to the specific topic or theme of the content. This allows for easier categorization and organization of content across different platforms or websites. Horizontal tagging helps users to discover related content more easily and can improve the overall user experience by providing relevant recommendations or search results.
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Does anyone know about networking?
Yes, networking is the practice of making and maintaining connections with other professionals in order to exchange information, advice, and support. It is a valuable skill for career development and can help individuals access job opportunities, gain insights into different industries, and build a strong professional reputation. Many people actively engage in networking both online and in person to expand their professional network and further their career goals.
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Some networking topics include network security, network design and implementation, network troubleshooting, network protocols, and network management. These topics cover a wide range of areas within the field of networking, including how to secure networks from cyber threats, how to plan and set up a network infrastructure, how to identify and resolve network issues, how data is transmitted across networks, and how to monitor and optimize network performance. Networking topics are essential for IT professionals working in roles such as network administrators, network engineers, and cybersecurity specialists.
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What are your reasons for tagging?
I tag because it helps organize information and make it easily searchable. Tagging also helps connect related content and allows for better categorization of data. Additionally, tagging can improve the discoverability of content and make it more accessible to others.
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