A tool for functional brain imaging with lifespan compliance

Ryan M. Hill, Elena Boto, Niall Holmes, Caroline Hartley, Zelekha A. Seedat, James Leggett, Gillian Roberts, Vishal Shah, Tim M. Tierney, Mark W. Woolrich, Charlotte J. Stagg, Gareth R. Barnes, Richard Bowtell, Rebeccah Slater and Matthew J. Brookes ()
Additional contact information
Ryan M. Hill: University of Nottingham
Elena Boto: University of Nottingham
Niall Holmes: University of Nottingham
Caroline Hartley: University of Oxford, John Radcliffe Hospital
Zelekha A. Seedat: University of Nottingham
James Leggett: University of Nottingham
Gillian Roberts: University of Nottingham
Vishal Shah: QuSpin Inc.
Tim M. Tierney: UCL Institute of Neurology, University College London, 12 Queen Square
Mark W. Woolrich: University of Oxford, Warneford Hospital
Charlotte J. Stagg: University of Oxford, Warneford Hospital
Gareth R. Barnes: UCL Institute of Neurology, University College London, 12 Queen Square
Richard Bowtell: University of Nottingham
Rebeccah Slater: University of Oxford, John Radcliffe Hospital
Matthew J. Brookes: University of Nottingham

Nature Communications, 2019, vol. 10, issue 1, 1-11

Abstract: Abstract The human brain undergoes significant functional and structural changes in the first decades of life, as the foundations for human cognition are laid down. However, non-invasive imaging techniques to investigate brain function throughout neurodevelopment are limited due to growth in head-size with age and substantial head movement in young participants. Experimental designs to probe brain function are also limited by the unnatural environment typical brain imaging systems impose. However, developments in quantum technology allowed fabrication of a new generation of wearable magnetoencephalography (MEG) technology with the potential to revolutionise electrophysiological measures of brain activity. Here we demonstrate a lifespan-compliant MEG system, showing recordings of high fidelity data in toddlers, young children, teenagers and adults. We show how this system can support new types of experimental paradigm involving naturalistic learning. This work reveals a new approach to functional imaging, providing a robust platform for investigation of neurodevelopment in health and disease.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-019-12486-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12486-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-12486-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().