Truncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localization

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMäkelä, Niko
dc.contributor.authorStenroos, Matti
dc.contributor.authorSarvas, Jukka
dc.contributor.authorIlmoniemi, Risto J.
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineering
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.date.accessioned2020-02-21T08:03:32Z
dc.date.available2020-02-21T08:03:32Z
dc.date.issued2018-02-15
dc.description.abstractElectrically active brain regions can be located applying MUltiple SIgnal Classification (MUSIC) on magneto- or electroencephalographic (MEG; EEG) data. We introduce a new MUSIC method, called truncated recursively-applied-and-projected MUSIC (TRAP-MUSIC). It corrects a hidden deficiency of the conventional RAP-MUSIC algorithm, which prevents estimation of the true number of brain-signal sources accurately. The correction is done by applying a sequential dimension reduction to the signal-subspace projection. We show that TRAP-MUSIC significantly improves the performance of MUSIC-type localization; in particular, it successfully and robustly locates active brain regions and estimates their number. We compare TRAP-MUSIC and RAP-MUSIC in simulations with varying key parameters, e.g., signal-to-noise ratio, correlation between source time-courses, and initial estimate for the dimension of the signal space. In addition, we validate TRAP-MUSIC with measured MEG data. We suggest that with the proposed TRAP-MUSIC method, MUSIC-type localization could become more reliable and suitable for various online and offline MEG and EEG applications.en
dc.description.versionPeer revieweden
dc.format.extent11
dc.format.extent73-83
dc.format.mimetypeapplication/pdf
dc.identifier.citationMäkelä , N , Stenroos , M , Sarvas , J & Ilmoniemi , R J 2018 , ' Truncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localization ' , NeuroImage , vol. 167 , pp. 73-83 . https://doi.org/10.1016/j.neuroimage.2017.11.013en
dc.identifier.doi10.1016/j.neuroimage.2017.11.013
dc.identifier.issn1053-8119
dc.identifier.issn1095-9572
dc.identifier.otherPURE UUID: 415eb6f6-8d2a-4139-a13a-84435ddc03b5
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/truncated-rapmusic-trapmusic-for-meg-and-eeg-source-localization(415eb6f6-8d2a-4139-a13a-84435ddc03b5).html
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85034827020&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/41082074/1_s2.0_S1053811917309205_main.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/43190
dc.identifier.urnURN:NBN:fi:aalto-202002212243
dc.language.isoenen
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE
dc.relation.ispartofseriesNeuroImageen
dc.relation.ispartofseriesVolume 167en
dc.rightsopenAccessen
dc.subject.keywordEEG
dc.subject.keywordElectroencephalography
dc.subject.keywordInverse methods
dc.subject.keywordMagnetoencephalography
dc.subject.keywordMEG
dc.subject.keywordMultiple sources
dc.subject.keywordSource localization
dc.subject.keywordNeurology
dc.subject.keywordCognitive Neuroscience
dc.subject.keyword3112 Neurosciences
dc.subject.otherNeurologyen
dc.subject.otherCognitive Neuroscienceen
dc.subject.other3112 Neurosciencesen
dc.titleTruncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localizationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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