Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical power.

ABSTRACT: The threshold-free cluster enhancement (TFCE) approach integrates cluster information into voxel-wise statistical inference to enhance detectability of neuroimaging signal. Despite the significantly increased sensitivity, the application of TFCE is limited by several factors: (i) generalisation to data structures, like brain network connectivity data is not trivial, (ii) TFCE values are in an arbitrary unit, therefore, P-values can only be obtained by a computationally demanding permutation-test. Here, we introduce a probabilistic approach for TFCE (pTFCE), that gives a simple general framework for topology-based belief boosting. The core of pTFCE is a conditional probability, calculated based on Bayes' rule, from the probability of voxel intensity and the threshold-wise likelihood functio

SUBMITTER: Spisak T 

PROVIDER: S-EPMC6834440 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature