Literature DB >> 12943281

In vivo measurement of the brain and skull resistivities using an EIT-based method and the combined analysis of SEF/SEP data.

S Gonçalves1, J C de Munck, J P A Verbunt, R M Heethaar, F H Lopes da Silva.   

Abstract

Results of "in vivo" measurements of the skull and brain resistivities are presented for six subjects. Results are obtained using two different methods, based on spherical head models. The first method uses the principles of electrical impedance tomography (EIT) to estimate the equivalent electrical resistivities of brain (rhobrain), skull (rhoskull) and skin (rhoskin) according to. The second one estimates the same parameters through a combined analysis of the evoked somatosensory cortical response, recorded simultaneously using magnetoencephalography (MEG) and electroencephalography (EEG). The EIT results, obtained with the same relative skull thickness (0.05) for all subjects, show a wide variation of the ratio rhoskull/rhobrain among subjects (average = 72, SD = 48%). However, the rhoskull/rhobrain ratios of the individual subjects are well reproduced by combined analysis of somatosensory evoked fields (SEF) and somatosensory evoked potentials (SEP). These preliminary results suggest that the rhoskull/rhobrain variations over subjects cannot be disregarded in the EEG inverse problem (IP) when a spherical model is used. The agreement between EIT and SEF/SEP points to the fact that whatever the source of variability, the proposed EIT-based method <Au: Addition of "method" O.K? appears to have the potential to reduce systematic errors in EEG IP associated to the misspecification of rhoskull/rhobrain, rhobrain, rhoskull and rhoskin.

Mesh:

Year:  2003        PMID: 12943281     DOI: 10.1109/TBME.2003.816072

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


  19 in total

1.  Modeling skull electrical properties.

Authors:  R J Sadleir; A Argibay
Journal:  Ann Biomed Eng       Date:  2007-07-14       Impact factor: 3.934

2.  A novel integrated MEG and EEG analysis method for dipolar sources.

Authors:  Ming-Xiong Huang; Tao Song; Donald J Hagler; Igor Podgorny; Veikko Jousmaki; Li Cui; Kathleen Gaa; Deborah L Harrington; Anders M Dale; Roland R Lee; Jeff Elman; Eric Halgren
Journal:  Neuroimage       Date:  2007-06-14       Impact factor: 6.556

3.  Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target.

Authors:  Christian Schmidt; Sven Wagner; Martin Burger; Ursula van Rienen; Carsten H Wolters
Journal:  J Neural Eng       Date:  2015-07-14       Impact factor: 5.379

4.  Plasticity of neonatal neuronal networks in very premature infants: Source localization of temporal theta activity, the first endogenous neural biomarker, in temporoparietal areas.

Authors:  L Routier; M Mahmoudzadeh; M Panzani; H Azizollahi; S Goudjil; G Kongolo; F Wallois
Journal:  Hum Brain Mapp       Date:  2017-01-23       Impact factor: 5.038

5.  Functional integrity of thalamocortical circuits differentiates normal aging from mild cognitive impairment.

Authors:  Jose L Cantero; Mercedes Atienza; German Gomez-Herrero; Abel Cruz-Vadell; Eulogio Gil-Neciga; Rafael Rodriguez-Romero; David Garcia-Solis
Journal:  Hum Brain Mapp       Date:  2009-12       Impact factor: 5.038

6.  The influence of age and skull conductivity on surface and subdermal bipolar EEG leads.

Authors:  Katrina Wendel; Juho Väisänen; Gunnar Seemann; Jari Hyttinen; Jaakko Malmivuo
Journal:  Comput Intell Neurosci       Date:  2010-01-10

7.  Simultaneous head tissue conductivity and EEG source location estimation.

Authors:  Zeynep Akalin Acar; Can E Acar; Scott Makeig
Journal:  Neuroimage       Date:  2015-08-22       Impact factor: 6.556

8.  Analysis of the Peak Resistance Frequency Method.

Authors:  Boshuo Wang; James D Weiland
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-17       Impact factor: 4.538

9.  Improved EEG source analysis using low-resolution conductivity estimation in a four-compartment finite element head model.

Authors:  Seok Lew; Carsten H Wolters; Alfred Anwander; Scott Makeig; Rob S MacLeod
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

10.  Intracranial electrical impedance tomography: a method of continuous monitoring in an animal model of head trauma.

Authors:  Preston K Manwaring; Karen L Moodie; Alexander Hartov; Kim H Manwaring; Ryan J Halter
Journal:  Anesth Analg       Date:  2013-07-10       Impact factor: 5.108

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.