The statistical analysis of functional MRI data
by Nicole A. Lazar
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. 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.
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Brain, Magnetic resonance imaging, Methods, Models, Statistical, Physiology, Statistical Models, Statistics, Statistics & numerical data, Statistics as Topic, Magnetic Resonance Imaging, Brain, imaging, Brain, physiology, Neurosciences, Bioinformatics, Psychological tests and testing, Psychological Methods/Evaluation, Image and Speech Processing Signal, Statistics for Life Sciences, Medicine, Health Sciences| Edition | Availability |
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Includes bibliographical references (p. [264]-281) and index.
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