Abstract

To estimate the neural generators of magnetoencephalographic (MEG) signals, MEG data have to be co-registered with an anatomical image, typically an MR image. Optically-pumped magnetometers (OPMs) enable the construction of on-scalp MEG systems providing higher sensitivity and spatial resolution than conventional SQUID-based MEG systems. We present a co-registration method that can be applied to on-scalp MEG systems, regardless of the number of sensors. We apply a structured-light scanner to create a surface mesh of the subject’s head and the sensor array, which we fit to the MR image. We quantified the reproducibility of the mesh and localised current dipoles with a phantom. Additionally, we measured somatosensory evoked fields (SEFs) to median nerve stimulation and compared the dipole positions between on-scalp and SQUID-based systems. The scanner reproduced the head surface with <1 mm error. Phantom dipoles were localised with 2.1 mm mean error. SEF dipoles corresponding to the P35m response for OPMs were well localised to the somatosensory cortex, while SQUID dipoles for two subjects were erroneously localised to the motor cortex. The developed co-registration method is inexpensive, fast and can easily be applied to on-scalp MEG. It is more convenient than traditional co-registration methods while also being more accurate.

Details

Title
Optical Co-registration of MRI and On-scalp MEG
Author
Zetter Rasmus 1   VIAFID ORCID Logo  ; Iivanainen Joonas 1   VIAFID ORCID Logo  ; Parkkonen Lauri 2   VIAFID ORCID Logo 

 Aalto University School of Science, Department of Neuroscience and Biomedical Engineering, Aalto, Finland (GRID:grid.5373.2) (ISNI:0000000108389418) 
 Aalto University School of Science, Department of Neuroscience and Biomedical Engineering, Aalto, Finland (GRID:grid.5373.2) (ISNI:0000000108389418); Aalto University, Aalto NeuroImaging, Aalto, Finland (GRID:grid.5373.2) (ISNI:0000000108389418) 
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2202209233
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.