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Handbook of Functional MRI Data Analysis

Handbook of Functional MRI Data Analysis Author Russell A. Poldrack
ISBN-10 9781139498364
Release 2011-08-22
Pages
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Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.



Handbook of Functional MRI Data Analysis

Handbook of Functional MRI Data Analysis Author Russell A. Poldrack
ISBN-10 0521517664
Release 2011-08-22
Pages 238
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Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook for Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.



Handbook of Neuroimaging Data Analysis

Handbook of Neuroimaging Data Analysis Author Hernando Ombao
ISBN-10 9781315356204
Release 2016-11-18
Pages 702
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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.



Statistical Analysis of FMRI Data

Statistical Analysis of FMRI Data Author F. Gregory Ashby
ISBN-10 9780262015042
Release 2011
Pages 332
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An overview of statistical methods for analyzing data from fMRI experiments.



An Introduction to Resting State FMRI Functional Connectivity

An Introduction to Resting State FMRI Functional Connectivity Author Janine Bijsterbosch
ISBN-10 9780198808220
Release 2017-06
Pages 156
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Spontaneous resting-state fluctuations in neuronal activity offer insights into the inherent organization of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsicfunctional connectivity networks, which are identified based on similarities in the signal measured from different brain regions.From data acquisition to interpretation of results, Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without requiring any previous knowledge of resting state fMRI, making it highly accessible to readers from a broad range of backgrounds.Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, this primer provides a practical and approachable introduction for those new to the field of resting state fMRI.The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a thorough understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition andinterpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.



Functional Magnetic Resonance Imaging

Functional Magnetic Resonance Imaging Author Scott A. Huettel
ISBN-10 0878936270
Release 2014-09-16
Pages 515
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Functional Magnetic Resonance Imaging provides a comprehensive introduction to fMRI. The Third Edition has been extensively updated, including a discussion of the physiological basis of fMRI and coverage of ethical and methodological controversies. Example are drawn from both seminal historical work and cutting-edge current research.



Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis Author Alex Fornito
ISBN-10 9780124081185
Release 2016-03-04
Pages 494
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Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain



Introduction to Functional Magnetic Resonance Imaging

Introduction to Functional Magnetic Resonance Imaging Author Richard B. Buxton
ISBN-10 9780521899956
Release 2009-08-27
Pages 457
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This is the second edition of a useful introductory book on a technique that has revolutionized neuroscience, specifically cognitive neuroscience. Functional magnetic resonance imaging (fMRI) has now become the standard tool for studying the brain systems involved in cognitive and emotional processing. It has also been a major factor in the consilience of the fields of neurobiology, cognitive psychology, social psychology, radiology, physics, mathematics, engineering, and even philosophy. Written and edited by a clinician-scientist in the field, this book remains an excellent user's guide to t



Handbook of Markov Chain Monte Carlo

Handbook of Markov Chain Monte Carlo Author Steve Brooks
ISBN-10 9781420079425
Release 2011-05-10
Pages 619
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Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory. The Handbook of Markov Chain Monte Carlo provides a reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology. The in-depth introductory section of the book allows graduate students and practicing scientists new to MCMC to become thoroughly acquainted with the basic theory, algorithms, and applications. The book supplies detailed examples and case studies of realistic scientific problems presenting the diversity of methods used by the wide-ranging MCMC community. Those familiar with MCMC methods will find this book a useful refresher of current theory and recent developments.



MATLAB for Behavioral Scientists

MATLAB for Behavioral Scientists Author David A. Rosenbaum
ISBN-10 9781135592141
Release 2012-12-06
Pages 288
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Behavioral scientists use computers in virtually all their work—from data collection to analysis, presentation, and simulation. However, there has been no book written to date specifically for behavioral scientists on how to program with a general-purpose programming language. MATLAB for Behavioral Scientists is a tremendously valuable textbook that walks behavioral scientists through the computer programming process, using terms that are relevant to their concerns and appreciating their special programming needs. Author David A. Rosenbaum, a cognitive psychologist with a Ph.D. in experimental psychology, introduces Matrix Laboratory (MATLAB), a powerful computer programming language with an active community of users engaged in many branches of science and engineering. Among its many attractive features, MATLAB offers high-level commands for performing calculations with large as well as small data sets and for generating publication-quality graphics. Throughout the text, Rosenbaum presents each new principle with one or more illustrations of usable code. In addition, each chapter begins with suggestions regarding which actions to perform, followed by the commands required to do so. The book easily functions as a reference source so that readers can turn to a section of interest and quickly obtain the information desired. An accompanying Web site lists programs and code output, complete with color, motion, and sound. This textbook will grant behavioral scientists the intellectual freedom to perform virtually any computational function in solving problems, and consequently may allow practitioners to think, write, and speak more clearly.



Handbook of Petroleum Product Analysis

Handbook of Petroleum Product Analysis Author James G. Speight
ISBN-10 9781118986356
Release 2015-02-02
Pages 368
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Introduces the reader to the production of the products in a refinery • Introduces the reader to the types of test methods applied to petroleum products, including the need for specifications • Provides detailed explanations for accurately analyzing and characterizing modern petroleum products • Rewritten to include new and evolving test methods • Updates on the evolving test methods and new test methods as well as the various environmental regulations are presented



Statistical Parametric Mapping The Analysis of Functional Brain Images

Statistical Parametric Mapping  The Analysis of Functional Brain Images Author William D. Penny
ISBN-10 9780080466507
Release 2011-04-28
Pages 656
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In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. An essential reference and companion for users of the SPM software Provides a complete description of the concepts and procedures entailed by the analysis of brain images Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data Stands as a compendium of all the advances in neuroimaging data analysis over the past decade Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes Structured treatment of data analysis issues that links different modalities and models Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible



Introduction to Neuroimaging Analysis

Introduction to Neuroimaging Analysis Author Mark Jenkinson
ISBN-10 9780198816300
Release 2017-10-26
Pages 208
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MRI has emerged as a powerful way of studying in-vivo brain structure and function in both healthy and disease states. Whilst new researchers may be able to call upon advice and support for acquisition from operators, radiologists and technicians, it is more challenging to obtain anunderstanding of the principles of analysing neuroimaging data. This is crucial for choosing acquisition parameters, designing and performing appropriate experiments, and correctly interpreting the results. This primer gives a general and accessible introduction to the wide array of MRI-based neuroimaging methods that are used in research. Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, it provides a practical and approachableintroduction for those new to the neuroimaging field. The text also covers the fundamentals of what different MRI modalities measure, what artifacts commonly occur, the essentials of the analysis, and common "pipelines" including brain extraction, registration and segmentation. As it does not require any background knowledge beyond high-school mathematics and physics, this primer is essential reading for anyone wanting to work in neuroimaging or grasp the results coming from this rapidly expanding field.The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a broad understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition andinterpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.



Handbook of Functional Neuroimaging of Cognition

Handbook of Functional Neuroimaging of Cognition Author Roberto Cabeza
ISBN-10 9780262033442
Release 2006-05-05
Pages 492
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A new edition of the essential resource on using functional neuroimaging techniques to study the neural basis of cognition, revised with the student in mind; thoroughly updated, with new chapters on fMRI physics, skill learning, emotion and social cognition, and other topics.



Handbook of Neurobehavioral Genetics and Phenotyping

Handbook of Neurobehavioral Genetics and Phenotyping Author V. Tucci
ISBN-10 9781118540718
Release 2017-03-06
Pages 624
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The Handbook of Behavioral Genetics and Phenotyping represents an integrative approach to neurobehavioural genetics; worldwide experts in their field will review all chapters. Advanced overviews of neurobehavioural characteristics will add immense value to the investigation of animal mutants and provide unique information about the genetics and behavioural understanding of animal models, under both normal and pathological conditions. Cross-species comparisons of neurobehavioural phenotypes will pave the way for an evolutionary understanding of behaviour. Moreover, while biological sciences are progressing towards a holistic approach to investigate the complexity of organisms (i.e., “systems biology” approach), an integrated analysis of behavioural phenotyping is still lacking. The Handbook of Behavioral Genetics and Phenotyping strengthens the cross-talk within disciplines that investigate the fundamental basis of behaviour and genetics. This will be the first volume in which traditionally distant fields including genomics, behaviour, electrophysiology, neuroeconomics, and computational neuroscience, among others, are evaluated together and simultaneously accounted for during discussions of future perspectives.



The Text Mining Handbook

The Text Mining Handbook Author Ronen Feldman
ISBN-10 9780521836579
Release 2007
Pages 410
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Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.



Practical Seismic Data Analysis

Practical Seismic Data Analysis Author Hua-Wei Zhou
ISBN-10 9781107728851
Release 2014-01-23
Pages 496
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This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to complete the learning package.