TY - JOUR
T1 - When to include ECoG electrode properties in volume conduction models
AU - Vermaas, M
AU - Piastra, M C
AU - Oostendorp, T F
AU - Ramsey, N F
AU - Tiesinga, P H E
N1 - Funding Information:
This work is part of the perspective programme NeuroCIMT with project number 14906, which is financed by the Dutch Research Council (NWO).
Publisher Copyright:
© 2020 The Author(s). Published by IOP Publishing Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/10/15
Y1 - 2020/10/15
N2 - OBJECTIVE: Implantable electrodes, such as electrocorticography (ECoG) grids, are used to record brain activity in applications like brain computer interfaces. To improve the spatial sensitivity of ECoG grid recordings, electrode properties need to be better understood. Therefore, the goal of this study is to analyze the importance of including electrodes explicitly in volume conduction calculations.APPROACH: We investigated the influence of ECoG electrode properties on potentials in three geometries with three different electrode models. We performed our simulations with FEMfuns, a volume conduction modeling software toolbox based on the finite element method.MAIN RESULTS: The presence of the electrode alters the potential distribution by an amount that depends on its surface impedance, its distance from the source and the strength of the source. Our modeling results show that when ECoG electrodes are near the sources the potentials in the underlying tissue are more uniform than without electrodes. We show that the recorded potential can change up to a factor of 3, if no extended electrode model is used. In conclusion, when the distance between an electrode and the source is equal to or smaller than the size of the electrode, electrode effects cannot be disregarded. Furthermore, the potential distribution of the tissue under the electrode is affected up to depths equal to the radius of the electrode.SIGNIFICANCE: This paper shows the importance of explicitly including electrode properties in volume conduction models for accurately interpreting ECoG measurements.
AB - OBJECTIVE: Implantable electrodes, such as electrocorticography (ECoG) grids, are used to record brain activity in applications like brain computer interfaces. To improve the spatial sensitivity of ECoG grid recordings, electrode properties need to be better understood. Therefore, the goal of this study is to analyze the importance of including electrodes explicitly in volume conduction calculations.APPROACH: We investigated the influence of ECoG electrode properties on potentials in three geometries with three different electrode models. We performed our simulations with FEMfuns, a volume conduction modeling software toolbox based on the finite element method.MAIN RESULTS: The presence of the electrode alters the potential distribution by an amount that depends on its surface impedance, its distance from the source and the strength of the source. Our modeling results show that when ECoG electrodes are near the sources the potentials in the underlying tissue are more uniform than without electrodes. We show that the recorded potential can change up to a factor of 3, if no extended electrode model is used. In conclusion, when the distance between an electrode and the source is equal to or smaller than the size of the electrode, electrode effects cannot be disregarded. Furthermore, the potential distribution of the tissue under the electrode is affected up to depths equal to the radius of the electrode.SIGNIFICANCE: This paper shows the importance of explicitly including electrode properties in volume conduction models for accurately interpreting ECoG measurements.
KW - ECoG
KW - Electrode properties
KW - Finite element method
KW - Forward problem
UR - http://www.scopus.com/inward/record.url?scp=85093482410&partnerID=8YFLogxK
U2 - 10.1088/1741-2552/abb11d
DO - 10.1088/1741-2552/abb11d
M3 - Article
C2 - 33055363
SN - 1741-2560
VL - 17
SP - 1
EP - 11
JO - Journal of Neural Engineering
JF - Journal of Neural Engineering
IS - 5
M1 - 056031
ER -