Naturalistic Hyperscanning with Wearable Magnetoencephalography

Author:

Holmes Niall12ORCID,Rea Molly21,Hill Ryan M.12,Boto Elena21,Leggett James1ORCID,Edwards Lucy J.1,Rhodes Natalie1,Shah Vishal3,Osborne James3,Fromhold T. Mark4,Glover Paul1,Montague P. Read5,Brookes Matthew J.12,Bowtell Richard1

Affiliation:

1. Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK

2. Cerca Magnetics Limited, Unit 2 Castlebridge Office Village, Kirtley Drive, Nottingham NG7 1LD, UK

3. QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, CO 80027, USA

4. School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK

5. Fralin Biomedical Research Institute, Department of Physics, Virginia Tech, Roanoke, VA 24016, USA

Abstract

The evolution of human cognitive function is reliant on complex social interactions which form the behavioural foundation of who we are. These social capacities are subject to dramatic change in disease and injury; yet their supporting neural substrates remain poorly understood. Hyperscanning employs functional neuroimaging to simultaneously assess brain activity in two individuals and offers the best means to understand the neural basis of social interaction. However, present technologies are limited, either by poor performance (low spatial/temporal precision) or an unnatural scanning environment (claustrophobic scanners, with interactions via video). Here, we describe hyperscanning using wearable magnetoencephalography (MEG) based on optically pumped magnetometers (OPMs). We demonstrate our approach by simultaneously measuring brain activity in two subjects undertaking two separate tasks—an interactive touching task and a ball game. Despite large and unpredictable subject motion, sensorimotor brain activity was delineated clearly, and the correlation of the envelope of neuronal oscillations between the two subjects was demonstrated. Our results show that unlike existing modalities, OPM-MEG combines high-fidelity data acquisition and a naturalistic setting and thus presents significant potential to investigate neural correlates of social interaction.

Funder

National Institutes of Health

the UK Quantum Technology Hub in Sensing and Timing

Healthcare Impact Partnership

the UK Engineering and Physical Sciences Research Council

a Wellcome Collaborative Award in Science

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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