- 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
On the Proper Role of Nonindependent ROI Analysis: A Commentary on Vul and Kanwisher
On the Proper Role of Nonindependent ROI Analysis: A Commentary on Vul and Kanwisher
- Chapter:
- (p.93) 7 On the Proper Role of Nonindependent ROI Analysis: A Commentary on Vul and Kanwisher
- Source:
- Foundational Issues in Human Brain Mapping
- Author(s):
Russell A. Poldrack
Jeanette A. Mumford
- Publisher:
- The MIT Press
This chapter focuses on the role of the nonindependent region of interest (ROI) analysis in neuroimaging research, and looks into the reason for the prevalence of nonindependent analysis. It discusses the use of anatomical ROIs and the functional localizer approach to solve the problem of nonindependence, and looks into the challenges of nonindependent analysis and the hopes for development of new data-sharing mechanisms.
Keywords: region of interest, neuroimaging research, nonindependent analysis, data sharing, anatomical ROIs, functional localizer
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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
