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Article

NBR: Network-based R-statistics for (unbalanced) longitudinal samples

2020-11-08

Abstract excerpt

Network neuroscience models the brain as interacting elements. However, a large number of elements imply a vast number of interactions, making it difficult to assess which connections are relevant and which are spurious. Zalesky et al. (2010) proposed the Network-Based Statistics (NBS), which identifies clusters of connections and tests their likelihood via permutation tests. This framework shows a better trade-of...

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Literature Corpus work
7eda81b7-4462-500a-a100-5f1822ff3827
DOI
10.1101/2020.11.07.373019
Open publication

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NBR: Network-based R-statistics for (unbalanced) longitudinal samplesDOI 10.1101/2020.11.07.373019
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