Inter-Scanner Reliability of Graph-Theoretic Brain Network Metrics

We tested the between-scanner reliability of graph-theoretic brain network properties derived from resting-state fMRI data. This is a crucial prerequisite to the wider application of graph metrics in clinical neuroscience and, in particular, to future adoption in multicentre treatment trials. Using data from five healthy subjects scanned in 10 different scanners, we show that overall reliability was poor. Scanner field strength was not associated with reliability, but averaging over repeat scans did improve reliability. Graph metrics derived from human brain fMRI data are not yet reliable enough between scanners for use as surrogate outcomes in multicentre clinical trials.

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