Unification of optimal targeting methods in transcranial electrical stimulation.

One of the major questions in high-density transcranial electrical stimulation (TES) is: given a region of interest (ROI) and electric current limits for safety, how much current should be delivered by each electrode for optimal targeting of the ROI? Several solutions, apparently unrelated, have bee...

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Autores principales: Fernández Corazza, Mariano, Turovets, Sergei, Muravchik, Carlos Horacio
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/107766
http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7110419&blobtype=pdf
Aporte de:
id I19-R120-10915-107766
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Exactas
Transcranial electrical stimulation
Transcranial direct current stimulation
Optimal electrical stimulation
Reciprocity theoremLeast squares
spellingShingle Ciencias Exactas
Transcranial electrical stimulation
Transcranial direct current stimulation
Optimal electrical stimulation
Reciprocity theoremLeast squares
Fernández Corazza, Mariano
Turovets, Sergei
Muravchik, Carlos Horacio
Unification of optimal targeting methods in transcranial electrical stimulation.
topic_facet Ciencias Exactas
Transcranial electrical stimulation
Transcranial direct current stimulation
Optimal electrical stimulation
Reciprocity theoremLeast squares
description One of the major questions in high-density transcranial electrical stimulation (TES) is: given a region of interest (ROI) and electric current limits for safety, how much current should be delivered by each electrode for optimal targeting of the ROI? Several solutions, apparently unrelated, have been independently proposed depending on how “optimality” is defined and on how this optimization problem is stated mathematically. The least squares (LS), weighted LS (WLS), or reciprocity-based approaches are the simplest ones and have closed-form solutions. An extended optimization problem can be stated as follows: maximize the directional intensity at the ROI, limit the electric fields at the non-ROI, and constrain total injected current and current per electrode for safety. This problem requires iterative convex or linear optimization solvers. We theoretically prove in this work that the LS, WLS and reciprocity-based closed-form solutions are specific solutions to the extended directional maximization optimization problem. Moreover, the LS/WLS and reciprocity-based solutions are the two extreme cases of the intensity-focality trade-off, emerging under variation of a unique parameter of the extended directional maximization problem, the imposed constraint to the electric fields at the non-ROI. We validate and illustrate these findings with simulations on an atlas head model. The unified approach we present here allows a better understanding of the nature of the TES optimization problem and helps in the development of advanced and more effective targeting strategies.
format Articulo
Articulo
author Fernández Corazza, Mariano
Turovets, Sergei
Muravchik, Carlos Horacio
author_facet Fernández Corazza, Mariano
Turovets, Sergei
Muravchik, Carlos Horacio
author_sort Fernández Corazza, Mariano
title Unification of optimal targeting methods in transcranial electrical stimulation.
title_short Unification of optimal targeting methods in transcranial electrical stimulation.
title_full Unification of optimal targeting methods in transcranial electrical stimulation.
title_fullStr Unification of optimal targeting methods in transcranial electrical stimulation.
title_full_unstemmed Unification of optimal targeting methods in transcranial electrical stimulation.
title_sort unification of optimal targeting methods in transcranial electrical stimulation.
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/107766
http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7110419&blobtype=pdf
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