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F. Gregory Ashby
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Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0001
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0002
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0003
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0004
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0005
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0006
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0007
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0008
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0009
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0010
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0021
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0022
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0023
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0024
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0025
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0026
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.001.0001
EISBN: 9780262354059
A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data for researchers to analyze. This book describes all aspects of experimental design and data analysis for fMRI experiments, covering every step—from preprocessing to advanced methods for assessing functional connectivity—as well as the most popular multivariate approaches. The goal is not to describe which buttons to push in the popular software packages but to help researchers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The field of fMRI research has advanced dramatically in recent years, in both methodology and technology, and this second edition has been completely revised and updated. Six new chapters cover experimental design, functional connectivity analysis through the methods of psychophysiological interactions and beta-series regression, decoding using multi-voxel pattern analysis, dynamic causal modeling, and representational similarity analysis. Other chapters offer new material on recently discovered problems related to head movements, the multivariate GLM, meta-analysis, and other topics. All complex derivations now appear at the end of the relevant chapter to improve readability. A new appendix describes how to build a design matrix with effect coding for group analysis. As in the first edition, MATLAB code is provided with which readers can implement many of the methods described.
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0011
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0012
EISBN: 9780262354059
Publisher: The MIT Press
Published: 17 September 2019
DOI: 10.7551/mitpress/11557.003.0013
EISBN: 9780262354059