Matches in SemOpenAlex for { <https://semopenalex.org/work/W2949327983> ?p ?o ?g. }
- W2949327983 endingPage "553" @default.
- W2949327983 startingPage "542" @default.
- W2949327983 abstract "Optically-pumped magnetometers (OPMs) have recently reached sensitivity levels required for magnetoencephalography (MEG). OPMs do not need cryogenics and can thus be placed within millimetres from the scalp into an array that adapts to the individual head size and shape, thereby reducing the distance from cortical sources to the sensors. Here, we quantified the improvement in recording MEG with hypothetical on-scalp OPM arrays compared to a 306-channel state-of-the-art SQUID array (102 magnetometers and 204 planar gradiometers). We simulated OPM arrays that measured either normal (nOPM; 102 sensors), tangential (tOPM; 204 sensors), or all components (aOPM; 306 sensors) of the magnetic field. We built forward models based on magnetic resonance images of 10 adult heads; we employed a three-compartment boundary element model and distributed current dipoles evenly across the cortical mantle. Compared to the SQUID magnetometers, nOPM and tOPM yielded 7.5 and 5.3 times higher signal power, while the correlations between the field patterns of source dipoles were reduced by factors of 2.8 and 3.6, respectively. Values of the field-pattern correlations were similar across nOPM, tOPM and SQUID gradiometers. Volume currents reduced the signals of primary currents on average by 10%, 72% and 15% in nOPM, tOPM and SQUID magnetometers, respectively. The information capacities of the OPM arrays were clearly higher than that of the SQUID array. The dipole-localization accuracies of the arrays were similar while the minimum-norm-based point-spread functions were on average 2.4 and 2.5 times more spread for the SQUID array compared to nOPM and tOPM arrays, respectively." @default.
- W2949327983 created "2019-06-27" @default.
- W2949327983 creator A5003680020 @default.
- W2949327983 creator A5044017880 @default.
- W2949327983 creator A5067521137 @default.
- W2949327983 date "2017-02-01" @default.
- W2949327983 modified "2023-10-12" @default.
- W2949327983 title "Measuring MEG closer to the brain: Performance of on-scalp sensor arrays" @default.
- W2949327983 cites W1973042443 @default.
- W2949327983 cites W1981399741 @default.
- W2949327983 cites W1985582058 @default.
- W2949327983 cites W1989045420 @default.
- W2949327983 cites W1995497399 @default.
- W2949327983 cites W2000384178 @default.
- W2949327983 cites W2007891950 @default.
- W2949327983 cites W2008939134 @default.
- W2949327983 cites W2010111760 @default.
- W2949327983 cites W2031425398 @default.
- W2949327983 cites W2040553986 @default.
- W2949327983 cites W2050236517 @default.
- W2949327983 cites W2063347383 @default.
- W2949327983 cites W2066511005 @default.
- W2949327983 cites W2077493497 @default.
- W2949327983 cites W2077767829 @default.
- W2949327983 cites W2078588218 @default.
- W2949327983 cites W2080137861 @default.
- W2949327983 cites W2084333685 @default.
- W2949327983 cites W2088908280 @default.
- W2949327983 cites W2091500345 @default.
- W2949327983 cites W2091595448 @default.
- W2949327983 cites W2091765444 @default.
- W2949327983 cites W2110437310 @default.
- W2949327983 cites W2113319997 @default.
- W2949327983 cites W2113431893 @default.
- W2949327983 cites W2120625852 @default.
- W2949327983 cites W2135001617 @default.
- W2949327983 cites W2135595031 @default.
- W2949327983 cites W2136991848 @default.
- W2949327983 cites W2144031273 @default.
- W2949327983 cites W2147807765 @default.
- W2949327983 cites W2147899888 @default.
- W2949327983 cites W2150469050 @default.
- W2949327983 cites W2151721316 @default.
- W2949327983 cites W2156217803 @default.
- W2949327983 cites W2157270343 @default.
- W2949327983 cites W2167136240 @default.
- W2949327983 cites W2512628654 @default.
- W2949327983 cites W2766839228 @default.
- W2949327983 cites W2950041204 @default.
- W2949327983 cites W4241074797 @default.
- W2949327983 doi "https://doi.org/10.1016/j.neuroimage.2016.12.048" @default.
- W2949327983 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5432137" @default.
- W2949327983 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28007515" @default.
- W2949327983 hasPublicationYear "2017" @default.
- W2949327983 type Work @default.
- W2949327983 sameAs 2949327983 @default.
- W2949327983 citedByCount "176" @default.
- W2949327983 countsByYear W29493279832017 @default.
- W2949327983 countsByYear W29493279832018 @default.
- W2949327983 countsByYear W29493279832019 @default.
- W2949327983 countsByYear W29493279832020 @default.
- W2949327983 countsByYear W29493279832021 @default.
- W2949327983 countsByYear W29493279832022 @default.
- W2949327983 countsByYear W29493279832023 @default.
- W2949327983 crossrefType "journal-article" @default.
- W2949327983 hasAuthorship W2949327983A5003680020 @default.
- W2949327983 hasAuthorship W2949327983A5044017880 @default.
- W2949327983 hasAuthorship W2949327983A5067521137 @default.
- W2949327983 hasBestOaLocation W29493279831 @default.
- W2949327983 hasConcept C115260700 @default.
- W2949327983 hasConcept C120665830 @default.
- W2949327983 hasConcept C121332964 @default.
- W2949327983 hasConcept C121684516 @default.
- W2949327983 hasConcept C134786449 @default.
- W2949327983 hasConcept C153946474 @default.
- W2949327983 hasConcept C169760540 @default.
- W2949327983 hasConcept C173523689 @default.
- W2949327983 hasConcept C18903297 @default.
- W2949327983 hasConcept C24890656 @default.
- W2949327983 hasConcept C2775980084 @default.
- W2949327983 hasConcept C2777743550 @default.
- W2949327983 hasConcept C2778475581 @default.
- W2949327983 hasConcept C2780784121 @default.
- W2949327983 hasConcept C41008148 @default.
- W2949327983 hasConcept C46141821 @default.
- W2949327983 hasConcept C522805319 @default.
- W2949327983 hasConcept C556910895 @default.
- W2949327983 hasConcept C62520636 @default.
- W2949327983 hasConcept C78902741 @default.
- W2949327983 hasConcept C86803240 @default.
- W2949327983 hasConceptScore W2949327983C115260700 @default.
- W2949327983 hasConceptScore W2949327983C120665830 @default.
- W2949327983 hasConceptScore W2949327983C121332964 @default.
- W2949327983 hasConceptScore W2949327983C121684516 @default.
- W2949327983 hasConceptScore W2949327983C134786449 @default.
- W2949327983 hasConceptScore W2949327983C153946474 @default.
- W2949327983 hasConceptScore W2949327983C169760540 @default.
- W2949327983 hasConceptScore W2949327983C173523689 @default.