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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Identifiers and source
- Literature Corpus work
- 7eda81b7-4462-500a-a100-5f1822ff3827
- DOI
- 10.1101/2020.11.07.373019
