Cognitive neuroscience using wearable magnetometer arrays: Non-invasive assessment of language function

Tierney, Tim M.; Holmes, Niall; Meyer, Sofie S.; Boto, Elena; Roberts, Gillian; Leggett, James; Buck, Sarah; Duque-Mu�oz, Leonardo; Litvak, Vladimir; Bestmann, Sven; Baldeweg, Torsten; Bowtell, Richard W.; Brookes, Matthew J.; Barnes, Gareth R.

Abstract

Recent work has demonstrated that Optically Pumped Magnetometers (OPMs) can be utilised to create a wearable Magnetoencephalography (MEG) system that is motion robust. In this study, we use this system to map eloquent cortex using a clinically validated language lateralisation paradigm (covert verb generation: 120 trials, ~10 minutes total duration) in healthy adults (n=3). We show that it is possible to lateralise and localise language function on a case by case basis using this system. Specifically, we show that at a sensor and source level we can reliably detect a lateralising beta band (15-30Hz) desynchronization in all subjects. This is the first demonstration of studying human cognition with OPMs and not only highlights this technology’s utility as tool for (developmental) cognitive neuroscience but also its potential to contribute to surgical planning via mapping of eloquent cortex, especially in young children.

Citation

Tierney, T. M., Holmes, N., Meyer, S. S., Boto, E., Roberts, G., Leggett, J., …Barnes, G. R. (2018). Cognitive neuroscience using wearable magnetometer arrays: Non-invasive assessment of language function. NeuroImage, 181, 513-520. https://doi.org/10.1016/j.neuroimage.2018.07.035

• Journal Article Type: Article
• Acceptance Date: Jul 13, 2018
• Online Publication Date: Jul 23, 2018
• Publication Date: Nov 1, 2018
• Deposit Date: Jul 19, 2018
• Publicly Available Date: Aug 8, 2018
• Journal: NeuroImage
• Print ISSN: 1053-8119
• Electronic ISSN: 1095-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 181
• Pages: 513-520
• DOI: https://doi.org/10.1016/j.neuroimage.2018.07.035
• Keywords: Optically pumped magnetometers; Language; MEG
• Public URL: https://nottingham-repository.worktribe.com/output/946372
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1053811918306505