Analysis of population functional connectivity data via multilayer network embeddings

@article{Wilson2018AnalysisOP,
  title={Analysis of population functional connectivity data via multilayer network embeddings},
  author={J. Wilson and Melanie Baybay and R. Sankar and P. Stillman and A. M. Popa},
  journal={Network Science},
  year={2018},
  pages={1-24}
}
  • J. Wilson, Melanie Baybay, +2 authors A. M. Popa
  • Published 2018
  • Computer Science, Physics
  • Network Science
  • Population analyses of functional connectivity have provided a rich understanding of how brain function differs across time, individual, and cognitive task. An important but challenging task in such population analyses is the identification of reliable features that describe the function of the brain, while accounting for individual heterogeneity. Our work is motivated by two particularly important challenges in this area: first, how can one analyze functional connectivity data over populations… CONTINUE READING
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