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  Flexible head-casts for high spatial precision MEG

Meyer, S. S., Bonaiuto, J., Lim, M., Rossiter, H., Waters, S., Bradbury, D., et al. (2017). Flexible head-casts for high spatial precision MEG. Journal of Neuroscience Methods, 276, 38-45. doi:10.1016/j.jneumeth.2016.11.009.

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 Creators:
Meyer, Sofie S.1, Author
Bonaiuto, James2, Author
Lim, Mark3, Author
Rossiter, Holly1, Author
Waters, Sheena2, Author
Bradbury, David1, Author
Bestmann, Sven2, Author
Brookes, Matthew4, Author
Callaghan, Martina F.1, Author
Weiskopf, Nikolaus1, 5, Author           
Barnes , Gareth R.1, Author
Affiliations:
1Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
2Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
3Chalk Studios Ltd, London, United Kingdom, ou_persistent22              
4Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, United Kingdom, ou_persistent22              
5Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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Free keywords: Magnetoencephalography; Head localization; Spatial resolution; MRI-MEG Co-registration; Head movement minimization; Head-cast; 3D printing
 Abstract: Background

In combination with magnetoencephalographic (MEG) data, accurate knowledge of the brain’s structure and location provide a principled way of reconstructing neural activity with high temporal resolution. However, measuring the brain’s location is compromised by head movement during scanning, and by fiducial-based co-registration with magnetic resonance imaging (MRI) data. The uncertainty from these two factors introduces errors into the forward model and limit the spatial resolution of the data.
New method

We present a method for stabilizing and reliably repositioning the head during scanning, and for co-registering MRI and MEG data with low error.
Results

Using this new flexible and comfortable subject-specific head-cast prototype, we find within-session movements of <0.25 mm and between-session repositioning errors around 1 mm.
Comparison with existing method(s)

This method is an improvement over existing methods for stabilizing the head or correcting for location shifts on- or off-line, which still introduce approximately 5 mm of uncertainty at best (Adjamian et al., 2004; Stolk et al., 2013; Whalen et al., 2008). Further, the head-cast design presented here is more comfortable, safer, and easier to use than the earlier 3D printed prototype, and give slightly lower co-registration errors (Troebinger et al., 2014b).
Conclusions

We provide an empirical example of how these head-casts impact on source level reproducibility. Employment of the individual flexible head-casts for MEG recordings provide a reliable method of safely stabilizing the head during MEG recordings, and for co-registering MRI anatomical images to MEG functional data.

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Language(s): eng - English
 Dates: 2016-11-182016-09-212016-11-202016-11-222017-01-30
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jneumeth.2016.11.009
PMID: 27887969
PMC: PMC5260820
Other: Epub 2016
 Degree: -

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Project name : Non-invasive in vivo histology in health and disease using Magnetic Resonance Imaging (MRI) / HMRI
Grant ID : 616905
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Building multi-site clinical research capacity in Magnetoencephalography (MEG)
Grant ID : MR/K005464/1
Funding program : -
Funding organization : Medical Research Council (MRC)
Project name : Non-invasive laminar electrophysiology in humans
Grant ID : BB/M009645/1
Funding program : -
Funding organization : Biotechnology and Biological Sciences Research Council (BBSRC)
Project name : -
Grant ID : 091593/Z/10/Z
Funding program : -
Funding organization : Wellcome Trust
Project name : -
Grant ID : MR/K6010/86010/1 ; MR/M006301/1
Funding program : Medical Research Council and Engineering and Physical Sciences Research Council Grant
Funding organization : Medical Research Council (MRC)

Source 1

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Title: Journal of Neuroscience Methods
  Other : J. Neurosci. Meth.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 276 Sequence Number: - Start / End Page: 38 - 45 Identifier: ISSN: 0165-0270
CoNE: https://pure.mpg.de/cone/journals/resource/954925480594