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Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Stenroos, Matti
dc.contributor.author Hauk, Olaf
dc.date.accessioned 2017-05-11T09:06:52Z
dc.date.available 2017-05-11T09:06:52Z
dc.date.issued 2013
dc.identifier.citation Stenroos , M & Hauk , O 2013 , ' Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error ' , NeuroImage , vol. 81 , pp. 265–272 . https://doi.org/10.1016/j.neuroimage.2013.04.086 en
dc.identifier.issn 1053-8119
dc.identifier.issn 1095-9572
dc.identifier.other PURE UUID: c60c99c1-0955-4ed0-b5bc-c91a82569df3
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/c60c99c1-0955-4ed0-b5bc-c91a82569df3
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/11717344/1_s2.0_S1053811913004333_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/25843
dc.description.abstract The conductivity profile of the head has a major effect on EEG signals, but unfortunately the conductivity for the most important compartment, skull, is only poorly known. In dipole modeling studies, errors in modeled skull conductivity have been considered to have a detrimental effect on EEG source estimation. However, as dipole models are very restrictive, those results cannot be generalized to other source estimation methods. In this work, we studied the sensitivity of EEG and combined MEG + EEG source estimation to errors in skull conductivity using a distributed source model and minimum-norm (MN) estimation. We used a MEG/EEG modeling set-up that reflected state-of-the-art practices of experimental research. Cortical surfaces were segmented and realistically-shaped three-layer anatomical head models were constructed, and forward models were built with Galerkin boundary element method while varying the skull conductivity. Lead-field topographies and MN spatial filter vectors were compared across conductivities, and the localization and spatial spread of the MN estimators were assessed using intuitive resolution metrics. The results showed that the MN estimator is robust against errors in skull conductivity: the conductivity had a moderate effect on amplitudes of lead fields and spatial filter vectors, but the effect on corresponding morphologies was small. The localization performance of the EEG or combined MEG + EEG MN estimator was only minimally affected by the conductivity error, while the spread of the estimate varied slightly. Thus, the uncertainty with respect to skull conductivity should not prevent researchers from applying minimum norm estimation to EEG or combined MEG + EEG data. Comparing our results to those obtained earlier with dipole models shows that general judgment on the performance of an imaging modality should not be based on analysis with one source estimation method only. en
dc.format.extent 265–272
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries NEUROIMAGE en
dc.relation.ispartofseries Volume 81 en
dc.rights openAccess en
dc.title Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.subject.keyword Electroencephalography
dc.subject.keyword Magnetoencephalography
dc.subject.keyword Inverse problem
dc.subject.keyword Minimum-norm estimation
dc.subject.keyword Skull conductivity
dc.identifier.urn URN:NBN:fi:aalto-201705114218
dc.identifier.doi 10.1016/j.neuroimage.2013.04.086
dc.type.version publishedVersion

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