Article
Characterising group-level brain connectivity: a framework using Bayesian exponential random graph models
2019-06-10
Abstract excerpt
The brain can be modelled as a network with nodes and edges derived from a range of imaging modalities: the nodes correspond to spatially distinct regions and the edges to the interactions between them. Whole-brain connectivity studies typically seek to determine how network properties change with a given categorical phenotype such as age-group, disease condition or mental state. To do so reliably, it is necessary...
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Identifiers and source
- Literature Corpus work
- 9f84c1e5-48d5-51b3-828d-a8c245fa6c04
- DOI
- 10.1101/665398