In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on the accuracy of a widely used statistical test in functional neuroimaging. Here, we leverage nonparametric methods that control the false discovery rate to offer more nuanced, quantitative guidance about which findings in the existing literature can be trusted. We show that, in the task studies examined by Eklund et al., most clusters originally reported to be significant are indeed trustworthy by the false discovery rate benchmark
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
Finding objective and effective thresholds for voxelwise statistics derived from neuroimaging data h...
Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
Finding objective and effective thresholds for voxelwise statistics derived from neuroimaging data h...
Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
Finding objective and effective thresholds for voxelwise statistics derived from neuroimaging data h...
Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across...