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  • Handbook of Functional MRI Data Analysis by Russell A. Poldrack book cover
  • Handbook of Functional MRI Data Analysis by Russell A. Poldrack book cover
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Handbook of Functional MRI Data Analysis

by Russell A. Poldrack

A practical guide to fMRI data analysis

$48.59 USD
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AlbakiReads Editorial

A practical guide to fMRI data analysis

Russell A. Poldrack’s handbook introduces the concepts and methods used to process and analyze functional MRI data, with an emphasis on techniques commonly used in the field. It also explains the background behind analysis packages including FSL, SPM, and AFNI, connecting software use with the scientific questions fMRI analysis can address. Alongside these established methods, the book covers pattern classification, connectivity modeling, and resting-state network analysis, giving it a scope that spans core workflows and more specialized approaches.

Good fit for readers who enjoy

  • Newcomers seeking an introduction to fMRI data analysis.
  • Researchers looking to strengthen their understanding of common analysis methods and software packages.
  • Readers interested in pattern classification, connectivity modeling, or resting-state network analysis.

Themes

Functional MRIBrain data processing and analysisScientific methodsNeuroimaging softwareConnectivity and network analysis

Based on publisher information and book metadata.

Book overview

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook for 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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