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Handbook of Functional MRI Data Analysis
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Handbook of Functional MRI Data Analysis

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ProduktVarenr.PrisHandling
Handbook of Functional MRI Data Analysis9781009481168324,95 krTil butik
Handbook of Functional MRI Data Analysis9781009481168324,95 krTil butik

Produktdetaljer

Handbook of Functional MRI Data Analysis

Handbook of Functional MRI Data Analysis

Jeanette A. Mumford, Russell A. Poldrack og Thomas E. NicholsBog

324,95 kr

Til butik
Varenr.:
9781009481168

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.

Læs mere hos Saxo DK
Handbook of Functional MRI Data Analysis

Handbook of Functional MRI Data Analysis

Russell A. Poldrack, Jeanette A. Mumford og Thomas E. NicholsLægevidenskab og sygepleje

324,95 kr

Til butik
Varenr.:
9781009481168

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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