by Tamas Spisak

View the Project on GitHub spisakt/pTFCE

Probabilistic Treshold-free Cluster Enhancement

Welcome to the wiki pages of pTFCE!

pTFCE (probabilistic TFCE) is a cluster-enahncement method to improve detectability of neuroimaging signal. It performs topology-based belief boosting by integrating cluster information into voxel-wise statistical inference.

image Figure 1. pTFCE achieves a significant increase in statistical power in most of the typical fMRI processing scenarios. See the paper for details.

For a detailed description and theory, please refer to (and please cite):

Tamás Spisák, Zsófia Spisák, Matthias Zunhammer, Ulrike Bingel, Stephen Smith, Thomas Nichols, Tamás Kincses, Probabilistic TFCE: a generalised combination of cluster size and voxel intensity to increase statistical power. Neuroimage, 185:12-26. DOI: 10.1016/j.neuroimage.2018.09.078

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R-package & Installation NEW RELEASE :new: smoothness estimation based on 4D residual data

SPM Matlab Toolbox & Installation


  1. Overview
  2. Relation to TFCE
  3. The R-package
    3.1 Installation
    3.2 Usage
  4. The SPM Toolbox
    4.1 Installation
    4.2 Usage
  5. The FSL extension
    5.1 Installation
    5.2 Usage
  6. The Nipype interface
    Citation and References

image Figure 2. A graphical representation of pTFCE depicting the integaration of cluster probabilities at various cluster-forming threshold via Bayes’ Theorem and our incremental probability aggregation technique.