Test-retest reliability of the human connectome: An OPM-MEG study

Author:

Rier Lukas1,Michelmann Sebastian2,Ritz Harrison2,Shah Vishal3,Hill Ryan M.14,Osborne James3,Doyle Cody3,Holmes Niall14,Bowtell Richard1,Brookes Matthew J.14,Norman Kenneth A.2,Hasson Uri2,Cohen Jonathan D.2,Boto Elena14

Affiliation:

1. Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom

2. Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States

3. QuSpin Inc., Louisville, CO, United States

4. Cerca Magnetics Limited, Nottingham, United Kingdom

Abstract

Abstract Magnetoencephalography with optically pumped magnetometers (OPM-MEG) offers a new way to record electrophysiological brain function, with significant advantages over conventional MEG, including adaptability to head shape/size, free movement during scanning, increased signal amplitude, and no reliance on cryogenics. However, OPM-MEG remains in its infancy, with significant questions to be answered regarding the optimal system design. Here, we present an open-source dataset acquired using a newly constructed OPM-MEG system with a triaxial sensor design, 168 channels, OPM-optimised magnetic shielding, and active background field control. We measure the test-retest reliability of the human connectome, which was computed using amplitude envelope correlation to measure whole-brain (parcellated) functional connectivity, in 10 individuals while they watch a 600 s move clip. Our results show high repeatability between experimental runs at the group level, with a correlation coefficient of 0.81 in the θ, 0.93 in α, and 0.94 in β frequency ranges. At the individual subject level, we found marked differences between individuals, but high within-subject robustness (correlations of 0.56 ± 0.25, 0.72 ± 0.15, and 0.78 ± 0.13 in α, θ, and β respectively). These results compare well to previous findings using conventional MEG and show that OPM-MEG is a viable way to robustly characterise connectivity.

Publisher

MIT Press

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