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Quantifying the effects of the electrode–brain interface on the crossing electric currents in deep brain recording and stimulation

Quantifying the effects of the electrode–brain interface on the crossing electric currents in deep brain recording and stimulation
Quantifying the effects of the electrode–brain interface on the crossing electric currents in deep brain recording and stimulation
A depth electrode–brain interface (EBI) is formed once electrodes are implanted into the human brain. We investigated the impact of the EBI on the crossing electric currents during both deep brain recording (DBR) and deep brain stimulation (DBS) over the acute, chronic and transitional stages post-implantation, in order to investigate and quantify the effect which changes at the EBI have on both DBR and DBS. We combined two complementary methods: (1) physiological recording of local field potentials via the implanted electrode in patients; and (2) computational simulations of an EBI model. Our depth recordings revealed that the physiological modulation of the EBI in the acute stage via brain pulsation selectively affected the crossing neural signals in a frequency-dependent manner, as the amplitude of the electrode potential was inversely correlated with that of the tremor-related oscillation, but not the beta oscillation. Computational simulations of DBS during the transitional period showed that the shielding effect of partial giant cell growth on the injected current could shape the field in an unpredictable manner. These results quantitatively demonstrated that physiological modulation of the EBI significantly affected the crossing currents in both DBR and DBS. Studying the microenvironment of the EBI may be a key step in investigating the mechanisms of DBR and DBS, as well as brain–computer interactions in general
local field potentials, computational simulation, finite element model
0306-4522
683-691
Yousif, N.
7918fc87-c05b-4903-895a-5357d6144d1a
Bayford, R.
f59be65c-0ede-4adc-9cfa-3bbbd3fe2451
Wang, S.
a2223997-9f42-425b-b0c6-1bcb64d9b8fc
Liu, X.
878efcac-76c6-4ca0-8f4a-425f1e9abdac
Yousif, N.
7918fc87-c05b-4903-895a-5357d6144d1a
Bayford, R.
f59be65c-0ede-4adc-9cfa-3bbbd3fe2451
Wang, S.
a2223997-9f42-425b-b0c6-1bcb64d9b8fc
Liu, X.
878efcac-76c6-4ca0-8f4a-425f1e9abdac

Yousif, N., Bayford, R., Wang, S. and Liu, X. (2008) Quantifying the effects of the electrode–brain interface on the crossing electric currents in deep brain recording and stimulation. Neuroscience, 152 (3), 683-691. (doi:10.1016/j.neuroscience.2008.01.023).

Record type: Article

Abstract

A depth electrode–brain interface (EBI) is formed once electrodes are implanted into the human brain. We investigated the impact of the EBI on the crossing electric currents during both deep brain recording (DBR) and deep brain stimulation (DBS) over the acute, chronic and transitional stages post-implantation, in order to investigate and quantify the effect which changes at the EBI have on both DBR and DBS. We combined two complementary methods: (1) physiological recording of local field potentials via the implanted electrode in patients; and (2) computational simulations of an EBI model. Our depth recordings revealed that the physiological modulation of the EBI in the acute stage via brain pulsation selectively affected the crossing neural signals in a frequency-dependent manner, as the amplitude of the electrode potential was inversely correlated with that of the tremor-related oscillation, but not the beta oscillation. Computational simulations of DBS during the transitional period showed that the shielding effect of partial giant cell growth on the injected current could shape the field in an unpredictable manner. These results quantitatively demonstrated that physiological modulation of the EBI significantly affected the crossing currents in both DBR and DBS. Studying the microenvironment of the EBI may be a key step in investigating the mechanisms of DBR and DBS, as well as brain–computer interactions in general

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More information

Published date: 27 March 2008
Keywords: local field potentials, computational simulation, finite element model
Organisations: Human Sciences Group

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Local EPrints ID: 79202
URI: https://eprints.soton.ac.uk/id/eprint/79202
ISSN: 0306-4522
PURE UUID: 86f0b99a-fe24-4c9c-aea1-d38be22b5fdb

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Date deposited: 15 Mar 2010
Last modified: 17 Jul 2019 00:12

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