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README.md

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# MatlabTFCE
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Standalone MATLAB implementation of permutation TFCE correction
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This package offers a standalone implemetation of multiple comparison
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correction for fMRI data. It achieves this through a permutation testing
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approach which controls familywise error rate by comparing voxelwise
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statistics to the maximal statistics obtained from repeating the analysis
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with randomized data. See Nichols & Holmes (2002) for a detailed
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treatment of this approach.
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This maximal permuted statistic correction technique is combined
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with the threshold free cluster enhancement (TFCE) transformation due to
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Smith & Nichols (2009), which obviates the need for arbitrary voxelwise
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cluster-forming thresholds and instead produces continuous correct
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p-values for all voxels. Although some spatial specifity is lost
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relative to purely voxelwise approach, this approach, like cluster
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corrections, is substantially less conservative due to the fact that
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it capitalizes on spatial dependency in the data.
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All functionality in the package can be accessed via matlab_tfce.m and
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that file also provides a description of the relevant parameters. The
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file matlab_tfce_gui.m provides a convenient user interface.

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