Welcome to TFNBS’s documentation!

TFNBS Toolbox is a Python package for computation and generation of network-based statistics for neuroscience data (i.e. fMRI, EEG data). The core concept is based on eliminating the use of a hardcoded threshold using threshold-free cluster enhancement (TFCE) scores to assess statistical significance. It works on the principle of networks, where TFCE statistical values are computed across a range of thresholds over n cycles of permutations to uncover possible significance in the data.

Contents:

• Installation
• Usage
• Permutation-Based Inference
• Synthetic Method-Comparison Example
• tfnbs
• References

To Cite this toolbox you can use the following: doi:………

[Cite TFNBS as]

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