Handbook of Functional MRI Data Analysis

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics
Cover of the book Handbook of Functional MRI Data Analysis by Russell A. Poldrack, Jeanette A. Mumford, Thomas E. Nichols, Cambridge University Press
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Author: Russell A. Poldrack, Jeanette A. Mumford, Thomas E. Nichols ISBN: 9781139234818
Publisher: Cambridge University Press Publication: August 22, 2011
Imprint: Cambridge University Press Language: English
Author: Russell A. Poldrack, Jeanette A. Mumford, Thomas E. Nichols
ISBN: 9781139234818
Publisher: Cambridge University Press
Publication: August 22, 2011
Imprint: Cambridge University Press
Language: English

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.

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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.

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