Your browser doesn't support javascript.
loading
Measuring functional connectivity with wearable MEG.
Boto, Elena; Hill, Ryan M; Rea, Molly; Holmes, Niall; Seedat, Zelekha A; Leggett, James; Shah, Vishal; Osborne, James; Bowtell, Richard; Brookes, Matthew J.
Affiliation
  • Boto E; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom. Electronic address: elena.boto@nottingham.ac.uk.
  • Hill RM; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
  • Rea M; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
  • Holmes N; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
  • Seedat ZA; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
  • Leggett J; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
  • Shah V; QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA.
  • Osborne J; QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA.
  • Bowtell R; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
  • Brookes MJ; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
Neuroimage ; 230: 117815, 2021 04 15.
Article in En | MEDLINE | ID: mdl-33524584
ABSTRACT
Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values >70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychomotor Performance / Brain / Magnetoencephalography / Magnetometry / Wearable Electronic Devices Limits: Adult / Female / Humans / Male Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychomotor Performance / Brain / Magnetoencephalography / Magnetometry / Wearable Electronic Devices Limits: Adult / Female / Humans / Male Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Type: Article