Dr ELENA BOTO ELENA.BOTO@NOTTINGHAM.AC.UK
Senior Research Fellow
Moving magnetoencephalography towards real-world applications with a wearable system
Boto, Elena; Holmes, Niall; Leggett, James; Roberts, Gillian; Shah, Vishal; Meyer, Sofie S.; Duque Mu�oz, Leonardo; Mullinger, Karen J.; Tierney, Tim M.; Bestmann, Sven; Barnes, Gareth R.; Bowtell, Richard W.; Brookes, Matthew J.
Authors
Niall Holmes
JAMES LEGGETT JAMES.LEGGETT@NOTTINGHAM.AC.UK
Technical Specialist - Opm Meg
Gillian Roberts
Vishal Shah
Sofie S. Meyer
Leonardo Duque Mu�oz
Dr KAREN MULLINGER KAREN.MULLINGER@NOTTINGHAM.AC.UK
Associate Professor
Tim M. Tierney
Sven Bestmann
Gareth R. Barnes
Professor RICHARD BOWTELL RICHARD.BOWTELL@NOTTINGHAM.AC.UK
Professor of Physics
MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
Professor of Physics
Abstract
Imaging human brain function with techniques such as magnetoencephalography1 (MEG) typically requires a subject to perform tasks whilst their head remains still within a restrictive scanner. This artificial environment makes the technique inaccessible to many people, and limits the experimental questions that can be addressed. For example, it has been difficult to apply neuroimaging to investigation of the neural substrates of cognitive development in babies and children, or in adult studies that require unconstrained head movement (e.g. spatial navigation). Here, we develop a new type of MEG system that can be worn like a helmet, allowing free and natural movement during scanning. This is possible due to the integration of new quantum sensors2,3 that do not rely on superconducting technology, with a novel system for nulling background magnetic fields. We demonstrate human electrophysiological measurement at millisecond resolution whilst subjects make natural movements, including head nodding, stretching, drinking and playing a ball game. Results compare well to the current state-of-the-art, even when subjects make large head movements. The system opens up new possibilities for scanning any subject or patient group, with myriad applications such as characterisation of the neurodevelopmental connectome, imaging subjects moving naturally in a virtual environment, and understanding the pathophysiology of movement disorders.
Citation
Boto, E., Holmes, N., Leggett, J., Roberts, G., Shah, V., Meyer, S. S., …Brookes, M. J. (2018). Moving magnetoencephalography towards real-world applications with a wearable system. Nature, 555, 657-661. https://doi.org/10.1038/nature26147
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 14, 2018 |
Online Publication Date | Mar 21, 2018 |
Publication Date | Mar 29, 2018 |
Deposit Date | Mar 22, 2018 |
Publicly Available Date | Mar 28, 2024 |
Journal | Nature |
Print ISSN | 0028-0836 |
Electronic ISSN | 1476-4687 |
Publisher | Nature Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 555 |
Pages | 657-661 |
DOI | https://doi.org/10.1038/nature26147 |
Public URL | https://nottingham-repository.worktribe.com/output/922426 |
Publisher URL | https://www.nature.com/articles/nature26147 |
Files
MJB nature paper_Complete_submission.pdf
(2.1 Mb)
PDF
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