Homological scaffolds of brain functional networks
Journal of The Royal Society Interface October 29, 2014 Giovanni Petri, Paul Expert, Federico Turkheimer et al. 689 citations
Functional brain networks can be studied through homological cycles—topological objects that capture mesoscopic structure in weighted correlation networks. A new method, homological scaffolds, compactly represents these cycles and makes them amenable to standard network analysis. Applied to resting-state fMRI data from 15 healthy volunteers given placebo or psilocybin, the homological structure of brain activity changed dramatically after psilocybin, producing many transient, low-stability cycles and a few persistent ones absent under placebo.