tedana.metrics.dependence
Metrics evaluating component TE-dependence or -independence.
Functions
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Calculate unstandardized parameter estimates between data and mixing matrix. |
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Calculate Kappa and Rho metrics from F-statistic maps. |
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Calculate pseudo-F-statistic maps for TE-dependence and -independence models. |
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Calculate percent signal change maps for components against optimally-combined data. |
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Calculate unnormalized(?) variance explained from unstandardized parameter estimate maps. |
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Calculate normalized variance explained from standardized parameter estimate maps. |
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Calculate standardized parameter estimates between data and mixing matrix. |
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Calculate component-wise z-statistic maps. |
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Count the number of significant voxels from non-significant clusters. |
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Count the number of significant voxels in a set of cluster-extent thresholded maps. |
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Compute the Dice similarity index between two thresholded and binarized maps. |
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Compare signal and noise t-statistic distributions with a two-sample t-test. |
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Compare signal and noise z-statistic distributions with a two-sample t-test. |
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Generate a five-metric decision table. |
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Perform cluster-extent thresholding. |
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Cluster-extent threshold a map to target number of significant voxels. |