Title The statistical analysis of functional MRI data / Nicole A. Lazar

Published New York : Springer, ©2008

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Description 1 online resource (xiv, 299 pages) : illustrations Series Statistics for biology and health Statistics for biology and health. Contents The science of fMRI -- Design of fMRI experiments -- Noise and data reprocessing -- Statistical issues in fMRI data analysis -- Basic statistical analysis -- Temporal, spatial, and spatiotemporal models -- Multivariante approaches -- Basic function approaches -- Bayesian methods in fMRI -- Multiple testing in fMRI : the problem of "thresholding" -- A survey of major fMRI software packages Summary One of the most intriguing questions facing modern science is the inner workings of the human brain. Functional magnetic resonance imaging (fMRI) is a powerful tool used to study the human brain in action. The data produced from mapping the active processes within the brain present many challenges to statisticians, computer scientists, engineers and other data analysts, due to their complex structure and the ever-increasing sophistication of the scientific questions being posed by researchers. This book represents the first in-depth discussion of statistical methodology, which it couples with an introduction to the scientific background needed to understand the data. Starting from the basic science - where fMRI data come from, why they are so complicated, and the role statistics can play in designing and interpreting experiments - the book gives a detailed survey of the numerous methods that have been applied in the last fifteen years. The analysis of fMRI data features many of the major issues of concern in modern statistics, such as high dimensionality, multiple testing, and visualization. The array of techniques examined in the book ranges from the simple two-sample t-test and the general linear model to hierarchical spatiotemporal models, multivariate methods such as principal components analysis, and Bayesian approaches as they have been used in fMRI. Software, including descriptions of the most popular freeware packages and their capabilities, is also discussed. This book offers researchers who are interested in the analysis of fMRI data a detailed discussion from a statistical perspective that covers the entire process from data collection to the graphical presentation of results. The book is a valuable resource for statisticians who want to learn more about this growing field, and for neuroscientists who want to learn more about how their data can be analyzed. Nicole A. Lazar is Professor of Statistics at the University of Georgia and affiliated faculty of the Center for Health Statistics, University of Illinois at Chicago. She is a prominent researcher in this area, a contributor to the FIASCO software for fMRI data analysis, and heads an fMRI statistics research group at the University of Georgia Bibliography Includes bibliographical references (pages 264-281) and index Notes English Subject Brain -- Magnetic resonance imaging -- Statistics Magnetic resonance imaging -- Statistics Physiology. Tomography. Mathematical models. Life sciences. Central nervous system. Mathematics. Diagnostic imaging. Nervous system. Physical sciences. Public health. Anatomy. Diagnosis. Medical care. Magnetic resonance imaging. Brain. Methodology. Statistics. Brain -- physiology Physiology Epidemiologic Methods Tomography Models, Theoretical Investigative Techniques Health Care Evaluation Mechanisms Biological Science Disciplines Central Nervous System Mathematics Diagnostic Imaging Quality of Health Care Nervous System Diagnostic Techniques and Procedures Natural Science Disciplines Analytical, Diagnostic and Therapeutic Techniques and Equipment Public Health Environment and Public Health Anatomy Diagnosis Disciplines and Occupations Health Care Quality, Access, and Evaluation Delivery of Health Care Magnetic Resonance Imaging Brain Methods Tomography, X-Ray Animal Structures Magnetic Resonance Imaging -- methods Magnetic Resonance Imaging -- statistics & numerical data Models, Statistical Statistics as Topic Patient Care physiology. mathematical models. biological sciences. mathematics. applied mathematics. physical sciences. public health. anatomy. diagnosis. brains. methodology. statistics. HEALTH & FITNESS -- Diseases -- Nervous System (incl. Brain) MEDICAL -- Neurology. Brain -- Magnetic resonance imaging -- Statistics. Fisiología Tomography Statistics Public health Physiology Physical sciences Nervous system Methodology Medical care Mathematics Mathematical models Life sciences Diagnostic imaging Diagnosis Central nervous system Brain Anatomy Brain -- Magnetic resonance imaging Magnetic resonance imaging Genre/Form Statistics Statistics. Statistiques. Form Electronic book ISBN 9780387781907 0387781900 9780387781914 0387781919 6611491767 9786611491765 1281491764 9781281491763

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