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Book Synopsis
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 b

Statistical Analysis of fMRI Data The MIT Press

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    A Hardback by F. Gregory Ashby

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      View other formats and editions of Statistical Analysis of fMRI Data The MIT Press by F. Gregory Ashby

      Publisher: MIT Press Ltd
      Publication Date: Publication Date: 17/09/2019
      ISBN13: 9780262042680, 978-0262042680
      ISBN10: 0262042681
      Also in:
      Neurology and clinical neurophysiology

      Description

      Book Synopsis
      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 b

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