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Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation

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@article{da82e844f5ae4fc8a1918b4b7ebd630f,
title = "Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation",
abstract = "OBJECTIVE: Most approaches to optimize the electric field pattern generated by multichannel Transcranial Electric Stimulation (TES) require the definition of a preferred direction of the electric field in the target region(s). However, this requires knowledge about how the neural effects depend on the field direction, which is not always available. Thus, it can be preferential to optimize the field strength in the target(s), irrespective of the field direction. However, this results in a more complex optimization problem.APPROACH: We introduce and validate a novel optimization algorithm that maximizes focality while controlling the electric field strength in the target to maintain a defined value. It obeys the safety constraints, allows limiting the number of active electrodes and allows also for multi-target optimization.MAIN RESULTS: The optimization algorithm outperformed na{\"i}ve search approaches in both quality of the solution and computational efficiency. Using the amygdala as test case, we show that it allows for reaching a reasonable trade-off between focality and field strength in the target. In contrast, simply maximizing the field strength in the target results in far more extended fields. In addition, by maintaining the pre-defined field strengths in the targets, the new algorithm allows for a balanced stimulation of two or more regions.SIGNIFICANCE: The novel algorithm can be used to automatically obtain individualized, optimal montages for targeting regions without the need to define preferential directions. It will automatically select the field direction that achieves the desired field strength in the target(s) with the most focal stimulation pattern.",
keywords = "transcranial electrical stimulation (TES), transcranial direct current stimulation (tDCS), multichannel TES, TES optimization",
author = "Saturnino, {Guilherme Bicalho} and Madsen, {Kristoffer Hougaard} and Axel Thielscher",
note = "Publisher Copyright: {\textcopyright} 2021 IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = feb,
day = "11",
doi = "10.1088/1741-2552/abca15",
language = "English",
volume = "18",
journal = "Journal of Neural Engineering",
issn = "1741-2560",
publisher = "Institute of Physics Publishing Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation

AU - Saturnino, Guilherme Bicalho

AU - Madsen, Kristoffer Hougaard

AU - Thielscher, Axel

N1 - Publisher Copyright: © 2021 IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/2/11

Y1 - 2021/2/11

N2 - OBJECTIVE: Most approaches to optimize the electric field pattern generated by multichannel Transcranial Electric Stimulation (TES) require the definition of a preferred direction of the electric field in the target region(s). However, this requires knowledge about how the neural effects depend on the field direction, which is not always available. Thus, it can be preferential to optimize the field strength in the target(s), irrespective of the field direction. However, this results in a more complex optimization problem.APPROACH: We introduce and validate a novel optimization algorithm that maximizes focality while controlling the electric field strength in the target to maintain a defined value. It obeys the safety constraints, allows limiting the number of active electrodes and allows also for multi-target optimization.MAIN RESULTS: The optimization algorithm outperformed naïve search approaches in both quality of the solution and computational efficiency. Using the amygdala as test case, we show that it allows for reaching a reasonable trade-off between focality and field strength in the target. In contrast, simply maximizing the field strength in the target results in far more extended fields. In addition, by maintaining the pre-defined field strengths in the targets, the new algorithm allows for a balanced stimulation of two or more regions.SIGNIFICANCE: The novel algorithm can be used to automatically obtain individualized, optimal montages for targeting regions without the need to define preferential directions. It will automatically select the field direction that achieves the desired field strength in the target(s) with the most focal stimulation pattern.

AB - OBJECTIVE: Most approaches to optimize the electric field pattern generated by multichannel Transcranial Electric Stimulation (TES) require the definition of a preferred direction of the electric field in the target region(s). However, this requires knowledge about how the neural effects depend on the field direction, which is not always available. Thus, it can be preferential to optimize the field strength in the target(s), irrespective of the field direction. However, this results in a more complex optimization problem.APPROACH: We introduce and validate a novel optimization algorithm that maximizes focality while controlling the electric field strength in the target to maintain a defined value. It obeys the safety constraints, allows limiting the number of active electrodes and allows also for multi-target optimization.MAIN RESULTS: The optimization algorithm outperformed naïve search approaches in both quality of the solution and computational efficiency. Using the amygdala as test case, we show that it allows for reaching a reasonable trade-off between focality and field strength in the target. In contrast, simply maximizing the field strength in the target results in far more extended fields. In addition, by maintaining the pre-defined field strengths in the targets, the new algorithm allows for a balanced stimulation of two or more regions.SIGNIFICANCE: The novel algorithm can be used to automatically obtain individualized, optimal montages for targeting regions without the need to define preferential directions. It will automatically select the field direction that achieves the desired field strength in the target(s) with the most focal stimulation pattern.

KW - transcranial electrical stimulation (TES)

KW - transcranial direct current stimulation (tDCS)

KW - multichannel TES

KW - TES optimization

UR - http://www.scopus.com/inward/record.url?scp=85102963515&partnerID=8YFLogxK

U2 - 10.1088/1741-2552/abca15

DO - 10.1088/1741-2552/abca15

M3 - Journal article

C2 - 33181504

VL - 18

JO - Journal of Neural Engineering

JF - Journal of Neural Engineering

SN - 1741-2560

IS - 1

M1 - 014001

ER -

ID: 61228213