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Simulation study of different OPM-MEG measurement components [Elektronski vir]Marhl, Urban, 1993- ; Sander, Tilmann ; Jazbinšek, VojkoMagnetoencephalography (MEG) is a neuroimaging technique that measures the magnetic fields of the brain outside of the head. In the past, the most suitable magnetometer for MEG was the ... superconducting quantum interference device (SQUID), but in recent years, a new type has also been used, the optically pumped magnetometer (OPM). OPMs can be configured to measure multiple directions of magnetic field simultaneously. This work explored whether combining multiple directions of the magnetic field lowers the source localization error of brain sources under various conditions of noise. We simulated dipolar-like sources for multiple configurations of both SQUID- and OPM-MEG systems. To test the performance of a given layout, we calculated the average signal-to-noise ratio and the root mean square of the simulated magnetic field; furthermore, we evaluated the performance of the dipole fit. The results showed that the field direction normal to the scalp yields a higher signal-to-noise ratio and that ambient noise has a much lower impact on its localization error; therefore, this is the optimal choice for source localization when only one direction of magnetic field can be measured. For a low number of OPMs, combining multiple field directions greatly improves the source localization results. Lastly, we showed that MEG sensors that can be placed closer to the brain are more suitable for localizing deeper sources.Source: Sensors [Elektronski vir]. - ISSN 1424-8220 (Vol. 22, iss. 9, Apr. 2022, art. 3184 (16 str.))Type of material - e-article ; adult, seriousPublish date - 2022Language - englishCOBISS.SI-ID - 106551555
Author
Marhl, Urban, 1993- |
Sander, Tilmann |
Jazbinšek, Vojko
Topics
magnetoencephalography |
optically pumped magnetometers |
superconducting quantum interference device |
volume conductor |
boundary element method |
equivalent current dipole |
source localization |
ambient noise |
spontaneous brain noise
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Marhl, Urban, 1993- | 51841 |
Sander, Tilmann | ![]() |
Jazbinšek, Vojko | 08274 |
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