Literature DB >> 26589336

Determination of head conductivity frequency response in vivo with optimized EIT-EEG.

Juhani Dabek1, Konstantina Kalogianni2, Edwin Rotgans3, Frans C T van der Helm2, Gert Kwakkel3, Erwin E H van Wegen3, Andreas Daffertshofer4, Jan C de Munck3.   

Abstract

Electroencephalography (EEG) benefits from accurate head models. Dipole source modelling errors can be reduced from over 1cm to a few millimetres by replacing generic head geometry and conductivity with tailored ones. When adequate head geometry is available, electrical impedance tomography (EIT) can be used to infer the conductivities of head tissues. In this study, the boundary element method (BEM) is applied with three-compartment (scalp, skull and brain) subject-specific head models. The optimal injection of small currents to the head with a modular EIT current injector, and voltage measurement by an EEG amplifier is first sought by simulations. The measurement with a 64-electrode EEG layout is studied with respect to three noise sources affecting EIT: background EEG, deviations from the fitting assumption of equal scalp and brain conductivities, and smooth model geometry deviations from the true head geometry. The noise source effects were investigated depending on the positioning of the injection and extraction electrode and the number of their combinations used sequentially. The deviation from equal scalp and brain conductivities produces rather deterministic errors in the three conductivities irrespective of the current injection locations. With a realistic measurement of around 2 min and around 8 distant distinct current injection pairs, the error from the other noise sources is reduced to around 10% or less in the skull conductivity. The analysis of subsequent real measurements, however, suggests that there could be subject-specific local thinnings in the skull, which could amplify the conductivity fitting errors. With proper analysis of multiplexed sinusoidal EIT current injections, the measurements on average yielded conductivities of 340 mS/m (scalp and brain) and 6.6 mS/m (skull) at 2 Hz. From 11 to 127 Hz, the conductivities increased by 1.6% (scalp and brain) and 6.7% (skull) on the average. The proper analysis was ensured by using recombination of the current injections into virtual ones, avoiding problems in location-specific skull morphology variations. The observed large intersubject variations support the need for in vivo measurement of skull conductivity, resulting in calibrated subject-specific head models.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BEM; Conductivity frequency response; EEG; EIT; Head conductivity

Mesh:

Year:  2015        PMID: 26589336     DOI: 10.1016/j.neuroimage.2015.11.023

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

Review 1.  Magnetoencephalography for brain electrophysiology and imaging.

Authors:  Sylvain Baillet
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

Review 2.  IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).

Authors:  Riitta Hari; Sylvain Baillet; Gareth Barnes; Richard Burgess; Nina Forss; Joachim Gross; Matti Hämäläinen; Ole Jensen; Ryusuke Kakigi; François Mauguière; Nobukatzu Nakasato; Aina Puce; Gian-Luca Romani; Alfons Schnitzler; Samu Taulu
Journal:  Clin Neurophysiol       Date:  2018-04-17       Impact factor: 3.708

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

Authors:  Matti Stenroos; Aapo Nummenmaa
Journal:  PLoS One       Date:  2016-07-29       Impact factor: 3.240

4.  Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study.

Authors:  Olena G Filatova; Yuan Yang; Julius P A Dewald; Runfeng Tian; Pablo Maceira-Elvira; Yusuke Takeda; Gert Kwakkel; Okito Yamashita; Frans C T van der Helm
Journal:  Front Neural Circuits       Date:  2018-10-01       Impact factor: 3.492

5.  Variation in Reported Human Head Tissue Electrical Conductivity Values.

Authors:  Hannah McCann; Giampaolo Pisano; Leandro Beltrachini
Journal:  Brain Topogr       Date:  2019-05-03       Impact factor: 3.020

  5 in total

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