Skull defects in finite element head models for source reconstruction from magnetoencephalography signals

Magnetoencephalography (MEG) signals are influenced by skull defects. However, there is a lack of evidence of this influence during source reconstruction. Our objectives are to characterize errors in source reconstruction from MEG signals due to ignoring skull defects and to assess the ability of an...

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Main Authors: Stephan eLau, Daniel eGüllmar, Lars eFlemming, David Bruce Grayden, Mark J Cook, Carsten H. Wolters, Jens eHaueisen
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-04-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00141/full
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spelling doaj-510382c3d9464d288b6aab9bcfd2b8512020-11-25T00:36:23ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2016-04-011010.3389/fnins.2016.00141166496Skull defects in finite element head models for source reconstruction from magnetoencephalography signalsStephan eLau0Stephan eLau1Stephan eLau2Stephan eLau3Stephan eLau4Daniel eGüllmar5Lars eFlemming6David Bruce Grayden7David Bruce Grayden8Mark J Cook9Carsten H. Wolters10Jens eHaueisen11Technical University IlmenauUniversity Hospital JenaUniversity of MelbourneUniversity of MelbourneUniversity of MelbourneUniversity Hospital JenaUniversity Hospital JenaUniversity of MelbourneUniversity of MelbourneUniversity of MelbourneWestfälische Wilhelms-Universität MünsterTechnical University IlmenauMagnetoencephalography (MEG) signals are influenced by skull defects. However, there is a lack of evidence of this influence during source reconstruction. Our objectives are to characterize errors in source reconstruction from MEG signals due to ignoring skull defects and to assess the ability of an exact finite element head model to eliminate such errors.A detailed finite element model of the head of a rabbit used in a physical experiment was constructed from magnetic resonance and co-registered computer tomography imaging that differentiated nine tissue types. Sources of the MEG measurements above intact skull and above skull defects respectively were reconstructed using a finite element model with the intact skull and one incorporating the skull defects.The forward simulation of the MEG signals reproduced the experimentally observed characteristic magnitude and topography changes due to skull defects. Sources reconstructed from measured MEG signals above intact skull matched the known physical locations and orientations. Ignoring skull defects in the head model during reconstruction displaced sources under a skull defect away from that defect. Sources next to a defect were reoriented. When skull defects, with their physical conductivity, were incorporated in the head model, the location and orientation errors were mostly eliminated. The conductivity of the skull defect material non-uniformly modulated the influence on MEG signals.We propose concrete guidelines for taking into account conducting skull defects during MEG coil placement and modeling. Exact finite element head models can improve localization of brain function, specifically after surgery.http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00141/fullElectric ConductivityFinite Element AnalysisMagnetoencephalographySkullSource analysisValidation study
collection DOAJ
language English
format Article
sources DOAJ
author Stephan eLau
Stephan eLau
Stephan eLau
Stephan eLau
Stephan eLau
Daniel eGüllmar
Lars eFlemming
David Bruce Grayden
David Bruce Grayden
Mark J Cook
Carsten H. Wolters
Jens eHaueisen
spellingShingle Stephan eLau
Stephan eLau
Stephan eLau
Stephan eLau
Stephan eLau
Daniel eGüllmar
Lars eFlemming
David Bruce Grayden
David Bruce Grayden
Mark J Cook
Carsten H. Wolters
Jens eHaueisen
Skull defects in finite element head models for source reconstruction from magnetoencephalography signals
Frontiers in Neuroscience
Electric Conductivity
Finite Element Analysis
Magnetoencephalography
Skull
Source analysis
Validation study
author_facet Stephan eLau
Stephan eLau
Stephan eLau
Stephan eLau
Stephan eLau
Daniel eGüllmar
Lars eFlemming
David Bruce Grayden
David Bruce Grayden
Mark J Cook
Carsten H. Wolters
Jens eHaueisen
author_sort Stephan eLau
title Skull defects in finite element head models for source reconstruction from magnetoencephalography signals
title_short Skull defects in finite element head models for source reconstruction from magnetoencephalography signals
title_full Skull defects in finite element head models for source reconstruction from magnetoencephalography signals
title_fullStr Skull defects in finite element head models for source reconstruction from magnetoencephalography signals
title_full_unstemmed Skull defects in finite element head models for source reconstruction from magnetoencephalography signals
title_sort skull defects in finite element head models for source reconstruction from magnetoencephalography signals
publisher Frontiers Media S.A.
series Frontiers in Neuroscience
issn 1662-453X
publishDate 2016-04-01
description Magnetoencephalography (MEG) signals are influenced by skull defects. However, there is a lack of evidence of this influence during source reconstruction. Our objectives are to characterize errors in source reconstruction from MEG signals due to ignoring skull defects and to assess the ability of an exact finite element head model to eliminate such errors.A detailed finite element model of the head of a rabbit used in a physical experiment was constructed from magnetic resonance and co-registered computer tomography imaging that differentiated nine tissue types. Sources of the MEG measurements above intact skull and above skull defects respectively were reconstructed using a finite element model with the intact skull and one incorporating the skull defects.The forward simulation of the MEG signals reproduced the experimentally observed characteristic magnitude and topography changes due to skull defects. Sources reconstructed from measured MEG signals above intact skull matched the known physical locations and orientations. Ignoring skull defects in the head model during reconstruction displaced sources under a skull defect away from that defect. Sources next to a defect were reoriented. When skull defects, with their physical conductivity, were incorporated in the head model, the location and orientation errors were mostly eliminated. The conductivity of the skull defect material non-uniformly modulated the influence on MEG signals.We propose concrete guidelines for taking into account conducting skull defects during MEG coil placement and modeling. Exact finite element head models can improve localization of brain function, specifically after surgery.
topic Electric Conductivity
Finite Element Analysis
Magnetoencephalography
Skull
Source analysis
Validation study
url http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00141/full
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