Graph-theoretical derivation of brain structural connectivity

作者：

Highlights：

• Introduction of a mathematical framework to quantitatively reproduce the entire range of a brain networks connectivity.

• Extraction of the full network connectivity from a few sets of experimental recordings of small subnetworks.

• Indication on whether experimentally tested subnetworks are a reasonable representation of the full systems connectivity.

摘要

•Introduction of a mathematical framework to quantitatively reproduce the entire range of a brain networks connectivity.•Extraction of the full network connectivity from a few sets of experimental recordings of small subnetworks.•Indication on whether experimentally tested subnetworks are a reasonable representation of the full systems connectivity.

论文关键词：Connectome,Neuronal networks,Random graphs

论文评审过程：Received 20 September 2019, Revised 29 January 2020, Accepted 9 February 2020, Available online 3 March 2020, Version of Record 3 March 2020.

论文官网地址：https://doi.org/10.1016/j.amc.2020.125150