Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems

We study the effect of the head shape variations on the EEG/magnetoencephalography (MEG) forward and inverse problems. We build a random head model such that each sample represents the head shape of a different individual and solve the forward problem assuming this random head model, using a polynom...

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Autores principales: Ellenrieder, Nicolás von, Muravchik, Carlos Horacio, Wagner, Michael, Nehorai, Arye
Formato: Articulo
Lenguaje:Inglés
Publicado: 2009
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/127069
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id I19-R120-10915-127069
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
EEG/magnetoencephalography (MEG) average head model
Polynomial chaos expansion (PCE)
Sparse grids
Stochastic modeling
spellingShingle Ingeniería
EEG/magnetoencephalography (MEG) average head model
Polynomial chaos expansion (PCE)
Sparse grids
Stochastic modeling
Ellenrieder, Nicolás von
Muravchik, Carlos Horacio
Wagner, Michael
Nehorai, Arye
Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems
topic_facet Ingeniería
EEG/magnetoencephalography (MEG) average head model
Polynomial chaos expansion (PCE)
Sparse grids
Stochastic modeling
description We study the effect of the head shape variations on the EEG/magnetoencephalography (MEG) forward and inverse problems. We build a random head model such that each sample represents the head shape of a different individual and solve the forward problem assuming this random head model, using a polynomial chaos expansion. The random solution of the forward problem is then used to quantify the effect of the geometry when the inverse problem is solved with a standard head model. The results derived with this approach are valid for a continuous family of head models, rather than just for a set of cases. The random model consists of three random surfaces that define layers of different electric conductivity, and we built an example based on a set of 30 deterministic models from adults. Our results show that for a dipolar source model, the effect of the head shape variations on the EEG/MEG inverse problem due to the random head model is slightly larger than the effect of the electronic noise present in the sensors. The variations in the EEG inverse problem solutions are due to the variations in the shape of the volume conductor, while the variations in the MEG inverse problem solutions, larger than the EEG ones, are caused mainly by the variations of the absolute position of the sources in a coordinate system based on anatomical landmarks, in which the magnetometers have a fixed position.
format Articulo
Articulo
author Ellenrieder, Nicolás von
Muravchik, Carlos Horacio
Wagner, Michael
Nehorai, Arye
author_facet Ellenrieder, Nicolás von
Muravchik, Carlos Horacio
Wagner, Michael
Nehorai, Arye
author_sort Ellenrieder, Nicolás von
title Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems
title_short Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems
title_full Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems
title_fullStr Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems
title_full_unstemmed Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems
title_sort effect of head shape variations among individuals on the eeg/meg forward and inverse problems
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/127069
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AT wagnermichael effectofheadshapevariationsamongindividualsontheeegmegforwardandinverseproblems
AT nehoraiarye effectofheadshapevariationsamongindividualsontheeegmegforwardandinverseproblems
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