- Title Pages
- Acknowledgments
- Introduction
-
1 A Critique of Functional Localizers -
2 Divide and Conquer: A Defense of Functional Localizers -
3 Commentary on Divide and Conquer: A Defense of Functional Localizers -
4 An Exchange about Localism -
5 Multivariate Pattern Analysis of fMRI Data: High-Dimensional Spaces for Neural and Cognitive Representations -
6 Begging the Question: The Nonindependence Error in fMRI Data Analysis -
7 On the Proper Role of Nonindependent ROI Analysis: A Commentary on Vul and Kanwisher -
8 On the Advantages of Not Having to Rely on Multiple Comparison Corrections -
9 Confirmation, Refutation, and the Evidence of fMRI -
10 Words and Pictures in Reports of fMRI Research -
11 Discovering How Brains Do Things -
12 Resting-State Brain Connectivity -
13 Subtraction and Beyond: The Logic of Experimental Designs for Neuroimaging -
14 Advancements in fMRI Methods: What Can They Inform about the Functional Organization of the Human Ventral Stream? -
15 Intersubject Variability in fMRI Data: Causes, Consequences, and Related Analysis Strategies -
16 Neuroimaging and Inferential Distance: The Perils of Pictures -
17 Brains and Minds: On the Usefulness of Localization Data to Cognitive Psychology -
18 Neuroimaging as a Tool for Functionally Decomposing Cognitive Processes -
19 What Is Functional Neuroimaging For? - References
- Contributors
- Index
Begging the Question: The Nonindependence Error in fMRI Data Analysis
Begging the Question: The Nonindependence Error in fMRI Data Analysis
- Chapter:
- (p.71) 6 Begging the Question: The Nonindependence Error in fMRI Data Analysis
- Source:
- Foundational Issues in Human Brain Mapping
- Author(s):
Edward Vul
Nancy Kanwisher
- Publisher:
- The MIT Press
This chapter focuses on the prevalence of the nonindependence error in functional magnetic resonance imaging (fMRI) data analysis, and presents a detailed description of the nonindependence error along with information on plotting its graph. It provides various examples of this error in fMRI, including plotting the signal change in voxels selected for signal change and statistical tests performed on nonindependent data, and also presents a few heuristics for avoiding the error. Finally, the chapter looks into the various reasons for the prevalence of the nonindependence error in fMRI, including the multidimensional, qualitative, and complicated nature of fMRI data.
Keywords: nonindependence error, fMRI, data analysis, graph, signal change, multidimensional data, qualitative data
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- Title Pages
- Acknowledgments
- Introduction
-
1 A Critique of Functional Localizers -
2 Divide and Conquer: A Defense of Functional Localizers -
3 Commentary on Divide and Conquer: A Defense of Functional Localizers -
4 An Exchange about Localism -
5 Multivariate Pattern Analysis of fMRI Data: High-Dimensional Spaces for Neural and Cognitive Representations -
6 Begging the Question: The Nonindependence Error in fMRI Data Analysis -
7 On the Proper Role of Nonindependent ROI Analysis: A Commentary on Vul and Kanwisher -
8 On the Advantages of Not Having to Rely on Multiple Comparison Corrections -
9 Confirmation, Refutation, and the Evidence of fMRI -
10 Words and Pictures in Reports of fMRI Research -
11 Discovering How Brains Do Things -
12 Resting-State Brain Connectivity -
13 Subtraction and Beyond: The Logic of Experimental Designs for Neuroimaging -
14 Advancements in fMRI Methods: What Can They Inform about the Functional Organization of the Human Ventral Stream? -
15 Intersubject Variability in fMRI Data: Causes, Consequences, and Related Analysis Strategies -
16 Neuroimaging and Inferential Distance: The Perils of Pictures -
17 Brains and Minds: On the Usefulness of Localization Data to Cognitive Psychology -
18 Neuroimaging as a Tool for Functionally Decomposing Cognitive Processes -
19 What Is Functional Neuroimaging For? - References
- Contributors
- Index
