Original paper
Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations
Abstract
Cluster-extent based thresholding is currently the most popular method for multiple comparisons correction of statistical maps in neuroimaging studies, due to its high sensitivity to weak and diffuse signals. However, cluster-extent based thresholding provides low spatial specificity; researchers can only infer that there is signal somewhere within a significant cluster and cannot make inferences about the statistical significance of specific...
Paper Details
Title
Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations
Published Date
May 1, 2014
Journal
Volume
91
Pages
412 - 419
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Notes
History