Literature DB >> 12814242

In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head.

Sónia I Gonçalves1, Jan C de Munck, Jeroen P A Verbunt, Fetsje Bijma, Rob M Heethaar, Fernando Lopes da Silva.   

Abstract

In vivo measurements of equivalent resistivities of skull (rho(skull)) and brain (rho(brain)) are performed for six subjects using an electric impedance tomography (EIT)-based method and realistic models for the head. The classical boundary element method (BEM) formulation for EIT is very time consuming. However, the application of the Sherman-Morrison formula reduces the computation time by a factor of 5. Using an optimal point distribution in the BEM model to optimize its accuracy, decreasing systematic errors of numerical origin, is important because cost functions are shallow. Results demonstrate that rho(skull)/rho(brain) is more likely to be within 20 and 50 rather than equal to the commonly accepted value of 80. The variation in rho(brain)(average = 301 omega x cm, SD = 13%) and rho(skull)(average = 12230 omega x cm, SD = 18%) is decreased by half, when compared with the results using the sphere model, showing that the correction for geometry errors is essential to obtain realistic estimations. However, a factor of 2.4 may still exist between values of rho(skull)/rho(brain) corresponding to different subjects. Earlier results show the necessity of calibrating rho(brain) and rho(skull) by measuring them in vivo for each subject, in order to decrease errors associated with the electroencephalogram inverse problem. We show that the proposed method is suited to this goal.

Mesh:

Year:  2003        PMID: 12814242     DOI: 10.1109/tbme.2003.812164

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  44 in total

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5.  Modeling skull electrical properties.

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9.  The folding fingerprint of visual cortex reveals the timing of human V1 and V2.

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10.  Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model.

Authors:  Seok Lew; Danielle D Sliva; Myong-sun Choe; P Ellen Grant; Yoshio Okada; Carsten H Wolters; Matti S Hämäläinen
Journal:  Neuroimage       Date:  2013-03-24       Impact factor: 6.556

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