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+ # MatlabTFCE
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+ Standalone MATLAB implementation of permutation TFCE correction
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+
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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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+
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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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+
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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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