Hi everyone,

I'm currently using the Brain Connectivity Toolbox to run a graph theoretical analysis of resting-state EEG data. I'm confused. Is it possible to get a short average characteristic path length and a low global efficiency in one group and a long average characteristic path length and high global efficiency in the other group? To my knowledge, characteristic path length and global efficiency are inversely related. Thus, a short average characteristic path length should be linked to a high global efficiency, right? Can anyone help?

Thanks!

Yolanda

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