Yttrium-Iron Garnet Magnetometer in MEG: Advance towards Multi-Channel Arrays

Recently, a new kind of sensor applicable in magnetoencephalography (MEG) has been presented: a solid-state yttrium-iron garnet magnetometer (YIGM). The feasibility of yttrium-iron garnet magnetometers (YIGMs) was demonstrated in an alpha-rhythm registration experiment. In this paper, we propose the...

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Published inSensors (Basel, Switzerland) Vol. 23; no. 9; p. 4256
Main Authors Skidchenko, Ekaterina, Butorina, Anna, Ostras, Maxim, Vetoshko, Petr, Kuzmichev, Alexey, Yavich, Nikolay, Malovichko, Mikhail, Koshev, Nikolay
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 25.04.2023
MDPI
Subjects
Arrays
Brain research
Comparative analysis
Expenditures
gradiometers
Information theory
Inverse problems
Magnetic fields
magnetometers
Medical imaging
MEG
Neuroimaging
OPMs
Rare earth metals
Sensors
Signal to noise ratio
simulation
Simulation methods
SNR
Superconductors
Temperature
Russia
OPMs
magnetometers
SQUID
SNR
simulation
gradiometers
MEG
YIGM
Online AccessGet full text
ISSN1424-8220
1424-8220
DOI10.3390/s23094256

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Summary:Recently, a new kind of sensor applicable in magnetoencephalography (MEG) has been presented: a solid-state yttrium-iron garnet magnetometer (YIGM). The feasibility of yttrium-iron garnet magnetometers (YIGMs) was demonstrated in an alpha-rhythm registration experiment. In this paper, we propose the analysis of lead-field matrices for different possible multi-channel on-scalp sensor layouts using YIGMs with respect to information theory. Real noise levels of the new sensor were used to compute signal-to-noise ratio (SNR) and total information capacity (TiC), and compared with corresponding metrics that can be obtained with well-established MEG systems based on superconducting quantum interference devices (SQUIDs) and optically pumped magnetometers (OPMs). The results showed that due to YIGMs’ proximity to the subject’s scalp, they outperform SQUIDs and OPMs at their respective noise levels in terms of SNR and TiC. However, the current noise levels of YIGM sensors are unfortunately insufficient for constructing a multichannel YIG-MEG system. This simulation study provides insight into the direction for further development of YIGM sensors to create a multi-channel MEG system, namely, by decreasing the noise levels of sensors.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23094256