OPM-MEG in multiple sclerosis: Proof of principle, and the effect of naturalistic posture

Multiple Sclerosis (MS) is a common neurological disorder in which myelin damage affects neuronal signalling. Magnetoencephalography (MEG - the measurement of magnetic fields generated by neuronal currents) offers metrics of brain function that relate directly to electrophysiological signalling, making it a valuable tool for exploring how abnormal function relates to MS symptoms. However, conventional MEG requires participants to be seated or supine with limited head and body motion. This makes it hard to measure brain function whilst simultaneously asking patients to carry out tasks they find challenging - many of which relate to movement. Here, we used a newly developed OPM-MEG system, with a wearable helmet and a lightweight backpack-mounted control unit, to measure MEG signals in people with MS (pwMS), both at rest and during a visuo-motor task. Uniquely, our system enabled data collection in participants who were seated and standing. We found that established markers of MS - including delayed beta-band responses to finger movement and diminished gamma-band responses to visual stimulation - were measurable using OPM-MEG. Further, we showed that standing (compared to sitting) decreased beta-band connectivity (in patients and controls, but the effect was only significant in controls) and decreased oscillatory power (in patients but not controls). In summary, our paper confirms that OPM-MEG is a useful means to investigate MS; it also demonstrates the importance of investigating how changes in posture relate to oscillations and connectivity, and lays the groundwork for broader studies of movement.

Authors

• Benjamin J. Sanders
• Christopher G.S. Gilmartin
• Lukas Rier
• Lauren Gascoyne
• Emily McCann
• Jorge Cabrera
• James Leggett
• Niall Holmes
• Ryan M. Hill
• Elena Boto
• Natalie Rhodes
• Clarise Castleman
• Aimee Hibbert
• Daniel C. Ford
• Holly Schofield
• Cody Doyle
• James Osborne
• David Bobela
• Vishal Shah
• Karen J. Mullinger
• Kathryn Radford
• Matthew J. Brookes
• Nikos Evangelou

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