Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorIivanainen, Joonasen_US
dc.contributor.authorMäkinen, Antti J.en_US
dc.contributor.authorZetter, Rasmusen_US
dc.contributor.authorStenroos, Mattien_US
dc.contributor.authorIlmoniemi, Risto J.en_US
dc.contributor.authorParkkonen, Laurien_US
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.date.accessioned2022-02-02T07:50:23Z
dc.date.available2022-02-02T07:50:23Z
dc.date.issued2021-12-15en_US
dc.description| openaire: EC/H2020/686865/EU//BREAKBEN | openaire: EC/H2020/678578/EU//HRMEG Funding Information: This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 686865 (project BREAKBEN), the European Research Council under grant agreement No 678578 (project HRMEG), the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number R01NS094604, the Finnish Cultural Foundation under grant Nos. 00170330 and 00180388 (JI), and Vilho, Yrjö and Kalle Väisälä Foundation (AM). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations. Publisher Copyright: © 2021
dc.description.abstractIn this paper, we analyze spatial sampling of electro- (EEG) and magnetoencephalography (MEG), where the electric or magnetic field is typically sampled on a curved surface such as the scalp. By simulating fields originating from a representative adult-male head, we study the spatial-frequency content in EEG as well as in on- and off-scalp MEG. This analysis suggests that on-scalp MEG, off-scalp MEG and EEG can benefit from up to 280, 90 and 110 spatial samples, respectively. In addition, we suggest a new approach to obtain sensor locations that are optimal with respect to prior assumptions. The approach also allows to control, e.g., the uniformity of the sensor locations. Based on our simulations, we argue that for a low number of spatial samples, model-informed non-uniform sampling can be beneficial. For a large number of samples, uniform sampling grids yield nearly the same total information as the model-informed grids.en
dc.description.versionPeer revieweden
dc.format.extent15
dc.format.extent1-15
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationIivanainen, J, Mäkinen, A J, Zetter, R, Stenroos, M, Ilmoniemi, R J & Parkkonen, L 2021, ' Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design ', NeuroImage, vol. 245, 118747, pp. 1-15 . https://doi.org/10.1016/j.neuroimage.2021.118747en
dc.identifier.doi10.1016/j.neuroimage.2021.118747en_US
dc.identifier.issn1053-8119
dc.identifier.issn1095-9572
dc.identifier.otherPURE UUID: 32e57597-d79f-4e1b-911a-8dc5118b0a1cen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/32e57597-d79f-4e1b-911a-8dc5118b0a1cen_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85120450312&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/78862844/Spatial_sampling_of_MEG_and_EEG_based_on_generalized_spatial_frequency_analysis_and_optimal_design.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/112744
dc.identifier.urnURN:NBN:fi:aalto-202202021641
dc.language.isoenen
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/678578/EU//HRMEG Funding Information: This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 686865 (project BREAKBEN), the European Research Council under grant agreement No 678578 (project HRMEG), the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number R01NS094604, the Finnish Cultural Foundation under grant Nos. 00170330 and 00180388 (JI), and Vilho, Yrjö and Kalle Väisälä Foundation (AM). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations. Publisher Copyright: © 2021en_US
dc.relation.ispartofseriesNeuroImageen
dc.relation.ispartofseriesVolume 245en
dc.rightsopenAccessen
dc.subject.keywordElectroencephalographyen_US
dc.subject.keywordMagnetoencephalographyen_US
dc.subject.keywordOn-scalp MEGen_US
dc.subject.keywordOptimal designen_US
dc.subject.keywordSpatial frequencyen_US
dc.subject.keywordSpatial samplingen_US
dc.titleSpatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal designen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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