Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain*†

@article{Simpson2013AnalyzingCF,
  title={Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain*†},
  author={Sean L. Simpson and F. DuBois Bowman and Paul J. Laurienti},
  journal={Statistics surveys},
  year={2013},
  volume={7},
  pages={1-36}
}
Complex functional brain network analyses have exploded over the last decade, gaining traction due to their profound clinical implications. The application of network science (an interdisciplinary offshoot of graph theory) has facilitated these analyses and enabled examining the brain as an integrated system that produces complex behaviors. While the field of statistics has been integral in advancing activation analyses and some connectivity analyses in functional neuroimaging research, it has… CONTINUE READING
Highly Cited
This paper has 96 citations. REVIEW CITATIONS

7 Figures & Tables

Topics

Statistics

020406020142015201620172018
Citations per Year

96 Citations

Semantic Scholar estimates that this publication has 96 citations based on the available data.

See our FAQ for additional information.