Non-Invasive Functional-Brain-Imaging with an OPM-based Magnetoencephalography System
- PMID: 31978102
- PMCID: PMC6980641
- DOI: 10.1371/journal.pone.0227684
Non-Invasive Functional-Brain-Imaging with an OPM-based Magnetoencephalography System
Abstract
A non-invasive functional-brain-imaging system based on optically-pumped-magnetometers (OPM) is presented. The OPM-based magnetoencephalography (MEG) system features 20 OPM channels conforming to the subject's scalp. We have conducted two MEG experiments on three subjects: assessment of somatosensory evoked magnetic field (SEF) and auditory evoked magnetic field (AEF) using our OPM-based MEG system and a commercial MEG system based on superconducting quantum interference devices (SQUIDs). We cross validated the robustness of our system by calculating the distance between the location of the equivalent current dipole (ECD) yielded by our OPM-based MEG system and the ECD location calculated by the commercial SQUID-based MEG system. We achieved sub-centimeter accuracy for both SEF and AEF responses in all three subjects. Due to the proximity (12 mm) of the OPM channels to the scalp, it is anticipated that future OPM-based MEG systems will offer enhanced spatial resolution as they will capture finer spatial features compared to traditional MEG systems employing SQUIDs.
Conflict of interest statement
Our collaboration with Candoo System and StimScience does not alter our adherence to PLOS ONE policies on sharing data and materials. Mr. James (Jim) McKay of Candoo System in British Columbia, Canada, has technical contribution to system simulation, sensor calibration, and localization algorithms. Dr. Michael Weisend, currently with StimScience, has decades of experience in electrophysiological data analysis and system design. For the presented work, Dr. Weisend has conducted MEG data analysis of SQUID-based MEG system.
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References
-
- Hämäläinen M, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV. Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys. 1993;65(2):413–97.
-
- Hari R, Puce A. MEG-EEG Primer: Oxford University Press; 2007.
-
- Taulu S, Kajola M. Presentation of electromagnetic multichannel data: The signal space separation method. Journal of Applied Physics. 2005;97(12).
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