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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 <0.25mm and between-session repositioning errors around 1mm.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 5mm 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.
SUBMITTER: Meyer SS
PROVIDER: S-EPMC5260820 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature

Meyer Sofie S SS Bonaiuto James J Lim Mark M Rossiter Holly H Waters Sheena S Bradbury David D Bestmann Sven S Brookes Matthew M Callaghan Martina F MF Weiskopf Nikolaus N Barnes Gareth R GR
Journal of neuroscience methods 20161122
<h4>Background</h4>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 resol ...[more]