Statistical Connectomics Institutional Repository Document uri icon

abstract

  • The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain is commonly modeled as a connectome, a network of nodes connected by edges. While there have been thousands of papers on connectomics, the statistics of networks remains limited and poorly understood. Here, we provide an overview from the perspective of statistical network science of the kinds of models, assumptions, problems, and applications that are theoretically and empirically justified for analysis of connectome data. We hope this review spurs further development and application of statistically grounded methods in connectomics.

altmetric score

  • 6.6

author list (cited authors)

  • Chung, J., Bridgeford, E., Arroyo, J., Pedigo, B. D., Saad-Eldin, A., Gopalakrishnan, V., ... Vogelstein, J. T.

citation count

  • 5

complete list of authors

  • Chung, Jaewon||Bridgeford, Eric||Arroyo, Jesus||Pedigo, Benjamin D||Saad-Eldin, Ali||Gopalakrishnan, Vivek||Xiang, Liang||Priebe, Carey E||Vogelstein, Joshua T

Book Title

  • OSF Preprints

publication date

  • August 2020