Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Stenroos, Matti
dc.contributor.author Nummenmaa, Aapo
dc.date.accessioned 2017-03-23T11:16:38Z
dc.date.available 2017-03-23T11:16:38Z
dc.date.issued 2016-07-29
dc.identifier.citation Stenroos , M & Nummenmaa , A 2016 , ' Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography ' , PloS one , vol. 11 , no. 7 , 0159595 , pp. 1-23 . https://doi.org/10.1371/journal.pone.0159595 en
dc.identifier.issn 1932-6203
dc.identifier.other PURE UUID: 70eeae36-c2d7-4b6e-a9be-0036c7972a7e
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/incorporating-and-compensating-cerebrospinal-fluid-in-surfacebased-forward-models-of-magneto-and-electroencephalography(70eeae36-c2d7-4b6e-a9be-0036c7972a7e).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/11262950/file2.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/24899
dc.description.abstract MEG/EEG source imaging is usually done using a three-shell (3-S) or a simpler head model. Such models omit cerebrospinal fluid (CSF) that strongly affects the volume currents. We present a four-compartment (4-C) boundary-element (BEM) model that incorporates the CSF and is computationally efficient and straightforward to build using freely available software. We propose a way for compensating the omission of CSF by decreasing the skull conductivity of the 3-S model, and study the robustness of the 4-C and 3-S models to errors in skull conductivity. We generated dense boundary meshes using MRI datasets and automated Sim NIBS pipeline. Then, we built a dense 4-C reference model using Galerkin BEM, and 4-C and 3-S test models using coarser meshes and both Galerkin and collocation BEMs. We compared field topographies of cortical sources, applying various skull conductivities and fitting conductivities that minimized the relative error in 4-C and 3-S models. When the CSF was left out from the EEG model, our compensated, unbiased approach improved the accuracy of the 3-S model considerably compared to the conventional approach, where CSF is neglected without any compensation (mean relative error <20% vs. > 40%). The error due to the omission of CSF was of the same order in MEG and compensated EEG. EEG has, however, large overall error due to uncertain skull conductivity. Our results show that a realistic 4-C MEG/EEG model can be implemented using standard tools and basic BEM, without excessive workload or computational burden. If the CSF is omitted, compensated skull conductivity should be used in EEG. en
dc.format.extent 23
dc.format.extent 1-23
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries PLOS ONE en
dc.relation.ispartofseries Volume 11, issue 7 en
dc.rights openAccess en
dc.subject.other 3112 Neurosciences en
dc.title Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.contributor.department Harvard University
dc.subject.keyword VOLUME CONDUCTOR
dc.subject.keyword HEAD MODELS
dc.subject.keyword EEG
dc.subject.keyword STIMULATION
dc.subject.keyword BRAIN
dc.subject.keyword MAGNETOENCEPHALOGRAPHY
dc.subject.keyword RECONSTRUCTION
dc.subject.keyword ROBUST
dc.subject.keyword SKULL
dc.subject.keyword FIELD
dc.subject.keyword 3112 Neurosciences
dc.identifier.urn URN:NBN:fi:aalto-201703233142
dc.identifier.doi 10.1371/journal.pone.0159595
dc.type.version publishedVersion


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