Dynamic network centrality summarizes learning in the human brain

@article{Mantzaris2013DynamicNC,
  title={Dynamic network centrality summarizes learning in the human brain},
  author={Alexander V. Mantzaris and Danielle S. Bassett and Nicholas F. Wymbs and Ernesto Estrada and Mason A. Porter and Peter J. Mucha and Scott T. Grafton and Desmond J. Higham},
  journal={J. Complex Networks},
  year={2013},
  volume={1},
  pages={83-92}
}
We study functional activity in the human brain using functional magnetic resonance imaging and recently developed tools from network science. The data arise from the performance of a simple behavioural motor learning task. Unsupervised clustering of subjects with respect to similarity of network activity measured over 3 days of practice produces significant evidence of ‘learning’, in the sense that subjects typically move between clusters (of subjects whose dynamics are similar) as time… Expand
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