Advanced boundary electrode modeling for tES and parallel tES/EEG

S. Pursiainen, B. Agsten, S. Wagner, C. H. Wolters

    Research output: Contribution to journalArticleScientificpeer-review

    14 Citations (Scopus)

    Abstract

    This paper explores advanced electrode modeling in the context of separate and parallel transcranial electrical stimulation (tES) and electroencephalography (EEG) measurements.We focus on boundary condition based approaches that do not necessitate adding auxiliary elements, e.g. sponges, to the computational domain. In particular, we investigate the complete electrode model (CEM) which incorporates a detailed description of the skin-electrode interface including its contact surface, impedance and normal current distribution. The CEM can be applied for both tES and EEG electrodes which is advantageous when a parallel system is used. In comparison to the CEM, we test two important reduced approaches: the gap model (GAP) and the point electrode model (PEM). We aim to find out the differences of these approaches for a realistic numerical setting based on the stimulation of the auditory cortex. The results obtained suggest, among other things, that GAP and GAP/PEM are sufficiently accurate for the practical application of tES and parallel tES/EEG, respectively. Differences between CEM and GAP were observed mainly in the skin compartment, where only CEM explains the heating effects characteristic to tES.

    Original languageEnglish
    Pages (from-to)37-44
    JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
    Volume26
    Issue number1
    DOIs
    Publication statusPublished - 2017
    Publication typeA1 Journal article-refereed

    Keywords

    • Boundary conditions
    • Brain modeling
    • Complete electrode model (CEM)
    • Computational modeling
    • Electric potential
    • Electrodes
    • Electroencephalography
    • Electroencephalography (EEG) electrode modeling
    • Finite element method (FEM).
    • Skin
    • Transcranial electrical stimulation (tES)

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • General Neuroscience
    • Biomedical Engineering
    • Computer Science Applications

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