Recurrence quantification analysis of dynamic brain networks

@article{Lopes2020RecurrenceQA,
  title={Recurrence quantification analysis of dynamic brain networks},
  author={M. A. Lopes and Jiaxiang Zhang and Dominik Krzemi'nski and K. Hamandi and Q. Chen and Lorenzo Livi and N. Masuda},
  journal={European Journal of Neuroscience},
  year={2020},
  volume={53},
  pages={1040 - 1059}
}
Evidence suggests that brain network dynamics are a key determinant of brain function and dysfunction. Here we propose a new framework to assess the dynamics of brain networks based on recurrence analysis. Our framework uses recurrence plots and recurrence quantification analysis to characterize dynamic networks. For resting‐state magnetoencephalographic dynamic functional networks (dFNs), we have found that functional networks recur more quickly in people with epilepsy than in healthy controls… Expand

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