Architecture for complex network measures of brain connectivity

By Chandrajit Pal, Dwaipayan Biswas, K. Maharatna, A. Chakrabarti. International Symposium on Circuits and Systems, 2017

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Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data (2018, methodology): “The weighted global efficiency (EWglobal) was calculated as the aver- age weighted nodal efficiency of nodes in a graph G, as follows: EWglobal5 1 N N21ð Þ X i6¼jeG 1 LWi;j All the network efficiency measures were computed using the Brain Connectivity Toolbox (BCT) (Rubinov & Sporns, 2010).”
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017, methodology): “Such reference networks can be provided by randomizing the original network using a random switching procedure (Rubinov and Sporns, 2010).”
Precision functional mapping of individual human brains (2017, unknown): “, 2013); 4) global efficiency, a whole-brain measure of network information transfer (Rubinov and Sporns, 2010); and 5) modularity, a measure of how well the whole-brain graph can be represented as a set of discrete networks (Newman, 2004).”