Literature DB >> 22297396

Complete electrode model in EEG: relationship and differences to the point electrode model.

S Pursiainen1, F Lucka, C H Wolters.   

Abstract

In electroencephalography (EEG) source analysis, a primary current density generated by the neural activity of the brain is reconstructed from external electrode voltage measurements. This paper focuses on accurate and effective simulations of EEG through the complete electrode model (CEM). The CEM allows for the incorporation of the electrode size, shape and effective contact impedance into the forward simulation. Both neural currents in the brain and shunting currents between the electrodes and the skin can affect the measured voltages in the CEM. The goal of this study was to investigate the CEM by comparing it with the point electrode model (PEM), which is the current standard electrode model for EEG. We used a three-dimensional, realistic and high-resolution finite element head model as the reference computational domain in the comparison. The PEM could be formulated as a limit of the CEM, in which the effective impedance of each electrode goes to infinity and the size tends to zero. Numerical results concerning the forward and inverse errors and electrode voltage strengths with different impedances and electrode sizes are presented. Based on the results obtained, limits for extremely high and low impedance values of the shunting currents are suggested.

Mesh:

Year:  2012        PMID: 22297396     DOI: 10.1088/0031-9155/57/4/999

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  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

Review 2.  Magnetoencephalography for brain electrophysiology and imaging.

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

3.  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

4.  A pipeline for the simulation of transcranial direct current stimulation for realistic human head models using SCIRun/BioMesh3D.

Authors:  Moritz Dannhauer; Dana Brooks; Don Tucker; Rob MacLeod
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

5.  Transcranial Electrical Neuromodulation Based on the Reciprocity Principle.

Authors:  Mariano Fernández-Corazza; Sergei Turovets; Phan Luu; Erik Anderson; Don Tucker
Journal:  Front Psychiatry       Date:  2016-05-27       Impact factor: 4.157

6.  Randomized Multiresolution Scanning in Focal and Fast E/MEG Sensing of Brain Activity with a Variable Depth.

Authors:  A Rezaei; A Koulouri; S Pursiainen
Journal:  Brain Topogr       Date:  2020-02-19       Impact factor: 3.020

7.  Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance.

Authors:  Sarang S Dalal; Stefan Rampp; Florian Willomitzer; Svenja Ettl
Journal:  Front Neurosci       Date:  2014-03-11       Impact factor: 4.677

8.  A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources.

Authors:  Maria Carla Piastra; Andreas Nüßing; Johannes Vorwerk; Maureen Clerc; Christian Engwer; Carsten H Wolters
Journal:  Hum Brain Mapp       Date:  2020-11-06       Impact factor: 5.399

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.