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Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate
TLDR
This paper introduces to the neuroscience literature statistical procedures for controlling the false discovery rate (FDR) and demonstrates this approach using both simulations and functional magnetic resonance imaging data from two simple experiments.
Nonparametric permutation tests for functional neuroimaging: A primer with examples
TLDR
The standard nonparametric randomization and permutation testing ideas are developed at an accessible level, using practical examples from functional neuroimaging, and the extensions for multiple comparisons described.
Large-scale automated synthesis of human functional neuroimaging data
TLDR
An automated brain-mapping framework that uses text-mining, meta-analysis and machine-learning techniques to generate a large database of mappings between neural and cognitive states is described and validated.
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
TLDR
It is found that the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%.
Network modelling methods for FMRI
Controlling the familywise error rate in functional neuroimaging: a comparative review
TLDR
It is found that Bonferroni-related tests offer little improvement over Bonferronsi, while the permutation method offers substantial improvement over the random field method for low smoothness and low degrees of freedom.
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