Roberts, Gillian, Holmes, Niall, Alexander, Nicholas, Boto, Elena, Leggett, James, Hill, Ryan M., Shah, Vishal, Rea, Molly Rea1, Vaughan, Richard, Maguire, Eleanor A., Kessler, Klaus, Beebe, Shaun, Fromhold, Mark, Barnes, Gareth R., Bowtell, Richard and Brookes, Matthew J. (2019). Towards OPM-MEG in a virtual reality environment. Neuroimage, 199 , pp. 408-417.
Abstract
Virtual reality (VR) provides an immersive environment in which a participant can experience a feeling of presence in a virtual world. Such environments generate strong emotional and physical responses and have been used for wide-ranging applications. The ability to collect functional neuroimaging data whilst a participant is immersed in VR would represent a step change for experimental paradigms; unfortunately, traditional brain imaging requires participants to remain still, limiting the scope of naturalistic interaction within VR. Recently however, a new type of magnetoencephalography (MEG) device has been developed, that employs scalp-mounted optically-pumped magnetometers (OPMs) to measure brain electrophysiology. Lightweight OPMs, coupled with precise control of the background magnetic field, enables participant movement during data acquisition. Here, we exploit this technology to acquire MEG data whilst a participant uses a virtual reality head-mounted display (VRHMD). We show that, despite increased magnetic interference from the VRHMD, we were able to measure modulation of alpha-band oscillations, and the visual evoked field. Moreover, in a VR experiment in which a participant had to move their head to look around a virtual wall and view a visual stimulus, we showed that the measured MEG signals map spatially in accordance with the known organisation of primary visual cortex. This technique could transform the type of neuroscientific experiment that can be undertaken using functional neuroimaging.
Publication DOI: | https://doi.org/10.1016/j.neuroimage.2019.06.010 |
---|---|
Divisions: | College of Health & Life Sciences > School of Psychology College of Health & Life Sciences > Aston Institute of Health & Neurodevelopment (AIHN) |
Additional Information: | Creative Commons Attribution 4.0 International (CC BY 4.0) Funding: Wellcome Collaborative Award in Science (203257/Z/16/Z and 203257/B/16/Z), UK Quantum Technology Hub for Sensors and Metrology, Engineering and Physical Sciences Research Council (EP/M013294/1), Engineering and Physical Sciences Research Council (EPSRC) and Medical Research Council (MRC)(grant number EP/L016052/1), Oxford Nottingham Biomedical Imaging EPSRC and MRC Centre for Doctoral Training. |
Uncontrolled Keywords: | Neurology,Cognitive Neuroscience |
Publication ISSN: | 1095-9572 |
Last Modified: | 19 Nov 2024 08:13 |
Date Deposited: | 20 Jun 2019 09:30 |
Full Text Link: | |
Related URLs: |
https://linking ... 053811919304951
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2019-10-01 |
Published Online Date: | 2019-06-04 |
Accepted Date: | 2019-06-03 |
Authors: |
Roberts, Gillian
Holmes, Niall Alexander, Nicholas Boto, Elena Leggett, James Hill, Ryan M. Shah, Vishal Rea, Molly Rea1 Vaughan, Richard Maguire, Eleanor A. Kessler, Klaus ( 0000-0001-7307-9539) Beebe, Shaun Fromhold, Mark Barnes, Gareth R. Bowtell, Richard Brookes, Matthew J. |
Download
Version: Accepted Version
Access Restriction: Restricted to Repository staff only
License: Creative Commons Attribution Non-commercial No Derivatives
Version: Published Version
License: Creative Commons Attribution
| Preview