Transcranial Electrical Neuromodulation Based on the Reciprocity Principle

A key challenge in multi-electrode transcranial electrical stimulation (TES) or transcranial direct current stimulation (tDCS) is to find a current injection pattern that delivers the necessary current density at a target and minimizes it in the rest of the head, which is mathematically modeled as a...

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Autores principales: Fernández Corazza, Mariano, Turovets, Sergei, Luu, Phan, Anderson, Erik, Tucker, Don
Formato: Articulo
Lenguaje:Inglés
Publicado: 2016
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/60929
http://journal.frontiersin.org/article/10.3389/fpsyt.2016.00087/full
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id I19-R120-10915-60929
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería Electrónica
transcranial electrical stimulation, non-invasive neuromodulation, transcranial direct current stimulation, reciprocity principle, high-density electrode arrays
neuromodulación
spellingShingle Ingeniería Electrónica
transcranial electrical stimulation, non-invasive neuromodulation, transcranial direct current stimulation, reciprocity principle, high-density electrode arrays
neuromodulación
Fernández Corazza, Mariano
Turovets, Sergei
Luu, Phan
Anderson, Erik
Tucker, Don
Transcranial Electrical Neuromodulation Based on the Reciprocity Principle
topic_facet Ingeniería Electrónica
transcranial electrical stimulation, non-invasive neuromodulation, transcranial direct current stimulation, reciprocity principle, high-density electrode arrays
neuromodulación
description A key challenge in multi-electrode transcranial electrical stimulation (TES) or transcranial direct current stimulation (tDCS) is to find a current injection pattern that delivers the necessary current density at a target and minimizes it in the rest of the head, which is mathematically modeled as an optimization problem. Such an optimization with the Least Squares (LS) or Linearly Constrained Minimum Variance (LCMV) algorithms is generally computationally expensive and requires multiple independent current sources. Based on the reciprocity principle in electroencephalography (EEG) and TES, it could be possible to find the optimal TES patterns quickly whenever the solution of the forward EEG problem is available for a brain region of interest. Here, we investigate the reciprocity principle as a guideline for finding optimal current injection patterns in TES that comply with safety constraints. We define four different trial cortical targets in a detailed seventissue finite element head model, and analyze the performance of the reciprocity family of TES methods in terms of electrode density, targeting error, focality, intensity, and directionality using the LS and LCMV solutions as the reference standards. It is found that the reciprocity algorithms show good performance comparable to the LCMV and LS solutions. Comparing the 128 and 256 electrode cases, we found that use of greater electrode density improves focality, directionality, and intensity parameters. The results show that reciprocity principle can be used to quickly determine optimal current injection patterns in TES and help to simplify TES protocols that are consistent with hardware and software availability and with safety constraints.
format Articulo
Articulo
author Fernández Corazza, Mariano
Turovets, Sergei
Luu, Phan
Anderson, Erik
Tucker, Don
author_facet Fernández Corazza, Mariano
Turovets, Sergei
Luu, Phan
Anderson, Erik
Tucker, Don
author_sort Fernández Corazza, Mariano
title Transcranial Electrical Neuromodulation Based on the Reciprocity Principle
title_short Transcranial Electrical Neuromodulation Based on the Reciprocity Principle
title_full Transcranial Electrical Neuromodulation Based on the Reciprocity Principle
title_fullStr Transcranial Electrical Neuromodulation Based on the Reciprocity Principle
title_full_unstemmed Transcranial Electrical Neuromodulation Based on the Reciprocity Principle
title_sort transcranial electrical neuromodulation based on the reciprocity principle
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/60929
http://journal.frontiersin.org/article/10.3389/fpsyt.2016.00087/full
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