Statistical Analysis of fMRI Data

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9780262015042: Statistical Analysis of fMRI Data

Book by Ashby F Gregory

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"This book covers all major fMRI analyses with a level of mathematical depth that is appropriate for cognitive and brain scientists with some background in statistics. The author has the rare ability of explaining complex issues using intuitive and engaging prose. The perfect balance between conceptual intelligibility and mathematical rigor makes this an ideal textbook for undergraduate and graduate courses." Roberto Cabeza , Professor of Psychology and Neuroscience, Duke University "Understanding the complexities associated with the generation of brain function images is essential, but this information is often difficult to obtain. This lovely new book by Ashby is a major step in meeting that need. I recommend it with enthusiasm to new initiates to imaging as well as seasoned veterans." Marcus Raichle , Professor of Radiology, Neurology, Neurobiology, and Biomedical Engineering at Washington University in St Louis

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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; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity. The goal is not to describe which buttons to push in the popular software packages but to help readers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The book covers all of the important current topics in fMRI data analysis, including the relation of the fMRI BOLD (blood oxygen-level dependent) response to neural activation; basic analyses done in virtually every fMRI article -- preprocessing, constructing statistical parametrical maps using the general linear model, solving the multiple comparison problem, and group analyses; the most popular methods for assessing functional connectivity -- coherence analysis and Granger causality; two widely used multivariate approaches, principal components analysis and independent component analysis; and a brief survey of other current fMRI methods. The necessary mathematics is explained at a conceptual level, but in enough detail to allow mathematically sophisticated readers to gain more than a purely conceptual understanding. The book also includes short examples of Matlab code that implement many of the methods described; an appendix offers an introduction to basic Matlab matrix algebra commands (as well as a tutorial on matrix algebra). A second appendix introduces multivariate probability distributions.

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F. Gregory Ashby
Editorial: MIT Press Ltd, United States (2011)
ISBN 10: 0262015048 ISBN 13: 9780262015042
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Descripción MIT Press Ltd, United States, 2011. Hardback. Estado de conservación: New. 229 x 183 mm. Language: English . Brand New Book. 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; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity. The goal is not to describe which buttons to push in the popular software packages but to help readers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The book covers all of the important current topics in fMRI data analysis, including the relation of the fMRI BOLD (blood oxygen-level dependent) response to neural activation; basic analyses done in virtually every fMRI article -- preprocessing, constructing statistical parametrical maps using the general linear model, solving the multiple comparison problem, and group analyses; the most popular methods for assessing functional connectivity -- coherence analysis and Granger causality; two widely used multivariate approaches, principal components analysis and independent component analysis; and a brief survey of other current fMRI methods. The necessary mathematics is explained at a conceptual level, but in enough detail to allow mathematically sophisticated readers to gain more than a purely conceptual understanding. The book also includes short examples of Matlab code that implement many of the methods described; an appendix offers an introduction to basic Matlab matrix algebra commands (as well as a tutorial on matrix algebra). A second appendix introduces multivariate probability distributions. Nº de ref. de la librería AAU9780262015042

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F. Gregory Ashby
Editorial: MIT Press Ltd, United States (2011)
ISBN 10: 0262015048 ISBN 13: 9780262015042
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Descripción MIT Press Ltd, United States, 2011. Hardback. Estado de conservación: New. 229 x 183 mm. Language: English . Brand New Book. 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; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity. The goal is not to describe which buttons to push in the popular software packages but to help readers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The book covers all of the important current topics in fMRI data analysis, including the relation of the fMRI BOLD (blood oxygen-level dependent) response to neural activation; basic analyses done in virtually every fMRI article -- preprocessing, constructing statistical parametrical maps using the general linear model, solving the multiple comparison problem, and group analyses; the most popular methods for assessing functional connectivity -- coherence analysis and Granger causality; two widely used multivariate approaches, principal components analysis and independent component analysis; and a brief survey of other current fMRI methods. The necessary mathematics is explained at a conceptual level, but in enough detail to allow mathematically sophisticated readers to gain more than a purely conceptual understanding. The book also includes short examples of Matlab code that implement many of the methods described; an appendix offers an introduction to basic Matlab matrix algebra commands (as well as a tutorial on matrix algebra). A second appendix introduces multivariate probability distributions. Nº de ref. de la librería AAU9780262015042

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Ashby, F.Gregory
Editorial: MIT Press Ltd (2011)
ISBN 10: 0262015048 ISBN 13: 9780262015042
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Descripción MIT Press Ltd, 2011. Estado de conservación: New. 2011. 1st Edition. Hardcover. An overview of statistical methods for analyzing data from fMRI experiments. Num Pages: 352 pages, 67 b&w illus., 4 tables. BIC Classification: MJN; MMP. Category: (P) Professional & Vocational. Dimension: 240 x 185 x 21. Weight in Grams: 672. . . . . . . Nº de ref. de la librería V9780262015042

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F. Gregory Ashby
Editorial: MIT Press (2011)
ISBN 10: 0262015048 ISBN 13: 9780262015042
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Descripción MIT Press, 2011. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería BB-9780262015042

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Ashby, F.Gregory
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Descripción MIT Press Ltd. Estado de conservación: New. 2011. 1st Edition. Hardcover. An overview of statistical methods for analyzing data from fMRI experiments. Num Pages: 352 pages, 67 b&w illus., 4 tables. BIC Classification: MJN; MMP. Category: (P) Professional & Vocational. Dimension: 240 x 185 x 21. Weight in Grams: 672. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780262015042

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F. Gregory Ashby
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Descripción MIT Press 2011-04-01, Cambridge, Mass. |London, 2011. hardback. Estado de conservación: New. Nº de ref. de la librería 9780262015042

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97802620150420000000

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Descripción MIT Press Ltd. Hardback. Estado de conservación: new. BRAND NEW, Statistical Analysis of fMRI Data, F.Gregory Ashby, 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; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity. The goal is not to describe which buttons to push in the popular software packages but to help readers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The book covers all of the important current topics in fMRI data analysis, including the relation of the fMRI BOLD (blood oxygen-level dependent) response to neural activation; basic analyses done in virtually every fMRI article -- preprocessing, constructing statistical parametrical maps using the general linear model, solving the multiple comparison problem, and group analyses; the most popular methods for assessing functional connectivity -- coherence analysis and Granger causality; two widely used multivariate approaches, principal components analysis and independent component analysis; and a brief survey of other current fMRI methods. The necessary mathematics is explained at a conceptual level, but in enough detail to allow mathematically sophisticated readers to gain more than a purely conceptual understanding. The book also includes short examples of Matlab code that implement many of the methods described; an appendix offers an introduction to basic Matlab matrix algebra commands (as well as a tutorial on matrix algebra). A second appendix introduces multivariate probability distributions. Nº de ref. de la librería B9780262015042

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Descripción Mit University Press Group Ltd, 2011. Estado de conservación: New. Nº de ref. de la librería EH9780262015042

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