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Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects
Transcranial electrical stimulation (tES) of the brain can have variable effects, plausibly driven by individual differences in neuroanatomy and resulting differences of the electric fields inside the brain. Here, we integrated individual simulations of electric fields during tES with source localiz...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882891/ https://www.ncbi.nlm.nih.gov/pubmed/31780668 http://dx.doi.org/10.1038/s41467-019-13417-6 |
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author | Kasten, Florian H. Duecker, Katharina Maack, Marike C. Meiser, Arnd Herrmann, Christoph S. |
author_facet | Kasten, Florian H. Duecker, Katharina Maack, Marike C. Meiser, Arnd Herrmann, Christoph S. |
author_sort | Kasten, Florian H. |
collection | PubMed |
description | Transcranial electrical stimulation (tES) of the brain can have variable effects, plausibly driven by individual differences in neuroanatomy and resulting differences of the electric fields inside the brain. Here, we integrated individual simulations of electric fields during tES with source localization to predict variability of transcranial alternating current stimulation (tACS) aftereffects on α-oscillations. In two experiments, participants received 20-min of either α-tACS (1 mA) or sham stimulation. Magnetoencephalogram (MEG) was recorded for 10-min before and after stimulation. tACS caused a larger power increase in the α-band compared to sham. The variability of this effect was significantly predicted by measures derived from individual electric field modeling. Our results directly link electric field variability to variability of tACS outcomes, underline the importance of individualizing stimulation protocols, and provide a novel approach to analyze tACS effects in terms of dose-response relationships. |
format | Online Article Text |
id | pubmed-6882891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68828912019-12-03 Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects Kasten, Florian H. Duecker, Katharina Maack, Marike C. Meiser, Arnd Herrmann, Christoph S. Nat Commun Article Transcranial electrical stimulation (tES) of the brain can have variable effects, plausibly driven by individual differences in neuroanatomy and resulting differences of the electric fields inside the brain. Here, we integrated individual simulations of electric fields during tES with source localization to predict variability of transcranial alternating current stimulation (tACS) aftereffects on α-oscillations. In two experiments, participants received 20-min of either α-tACS (1 mA) or sham stimulation. Magnetoencephalogram (MEG) was recorded for 10-min before and after stimulation. tACS caused a larger power increase in the α-band compared to sham. The variability of this effect was significantly predicted by measures derived from individual electric field modeling. Our results directly link electric field variability to variability of tACS outcomes, underline the importance of individualizing stimulation protocols, and provide a novel approach to analyze tACS effects in terms of dose-response relationships. Nature Publishing Group UK 2019-11-28 /pmc/articles/PMC6882891/ /pubmed/31780668 http://dx.doi.org/10.1038/s41467-019-13417-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kasten, Florian H. Duecker, Katharina Maack, Marike C. Meiser, Arnd Herrmann, Christoph S. Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects |
title | Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects |
title_full | Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects |
title_fullStr | Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects |
title_full_unstemmed | Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects |
title_short | Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects |
title_sort | integrating electric field modeling and neuroimaging to explain inter-individual variability of tacs effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882891/ https://www.ncbi.nlm.nih.gov/pubmed/31780668 http://dx.doi.org/10.1038/s41467-019-13417-6 |
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