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Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels

Understanding the dose-response relationship is crucial in studying the effects of brain stimulation techniques, such as transcranial direct current stimulation (tDCS). The dose-response relationship refers to the relationship between the received stimulation dose and the resulting response, which c...

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Autores principales: Soleimani, Ghazaleh, Kupliki, Rayus, Paulus, Martin, Ekhtiari, Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629666/
https://www.ncbi.nlm.nih.gov/pubmed/37883583
http://dx.doi.org/10.1371/journal.pcbi.1011572
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author Soleimani, Ghazaleh
Kupliki, Rayus
Paulus, Martin
Ekhtiari, Hamed
author_facet Soleimani, Ghazaleh
Kupliki, Rayus
Paulus, Martin
Ekhtiari, Hamed
author_sort Soleimani, Ghazaleh
collection PubMed
description Understanding the dose-response relationship is crucial in studying the effects of brain stimulation techniques, such as transcranial direct current stimulation (tDCS). The dose-response relationship refers to the relationship between the received stimulation dose and the resulting response, which can be described as a function of the dose at various levels, including single/multiple neurons, clusters, regions, or networks. Here, we are focused on the received stimulation dose obtained from computational head models and brain responses which are quantified by functional magnetic resonance imaging (fMRI) data. In this randomized, triple-blind, sham-controlled clinical trial, we recruited sixty participants with methamphetamine use disorders (MUDs) as a sample clinical population who were randomly assigned to receive either sham or active tDCS. Structural and functional MRI data, including high-resolution T1 and T2-weighted MRI, resting-state functional MRI, and a methamphetamine cue-reactivity task fMRI, were acquired before and after tDCS. Individual head models were generated using the T1 and T2-weighted MRI data to simulate electric fields. In a linear approach, we investigated the associations between electric fields (received dose) and changes in brain function (response) at four different levels: voxel level, regional level (using atlas-based parcellation), cluster level (identifying active clusters), and network level (task-based functional connectivity). At the voxel level, regional level, and cluster level, no FDR-corrected significant correlation was observed between changes in functional activity and electric fields. However, at the network level, a significant positive correlation was found between frontoparietal connectivity and the electric field at the frontopolar stimulation site (r = 0.42, p corrected = 0.02; medium effect size). Our proposed pipeline offers a methodological framework for analyzing tDCS effects by exploring dose-response relationships at different levels, enabling a direct link between electric field variability and the neural response to tDCS. The results indicate that network-based analysis provides valuable insights into the dependency of tDCS neuromodulatory effects on the individual’s regional current dose. Integration of dose-response relationships can inform dose optimization, customization, or the extraction of predictive/treatment-response biomarkers in future brain stimulation studies.
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spelling pubmed-106296662023-11-08 Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels Soleimani, Ghazaleh Kupliki, Rayus Paulus, Martin Ekhtiari, Hamed PLoS Comput Biol Research Article Understanding the dose-response relationship is crucial in studying the effects of brain stimulation techniques, such as transcranial direct current stimulation (tDCS). The dose-response relationship refers to the relationship between the received stimulation dose and the resulting response, which can be described as a function of the dose at various levels, including single/multiple neurons, clusters, regions, or networks. Here, we are focused on the received stimulation dose obtained from computational head models and brain responses which are quantified by functional magnetic resonance imaging (fMRI) data. In this randomized, triple-blind, sham-controlled clinical trial, we recruited sixty participants with methamphetamine use disorders (MUDs) as a sample clinical population who were randomly assigned to receive either sham or active tDCS. Structural and functional MRI data, including high-resolution T1 and T2-weighted MRI, resting-state functional MRI, and a methamphetamine cue-reactivity task fMRI, were acquired before and after tDCS. Individual head models were generated using the T1 and T2-weighted MRI data to simulate electric fields. In a linear approach, we investigated the associations between electric fields (received dose) and changes in brain function (response) at four different levels: voxel level, regional level (using atlas-based parcellation), cluster level (identifying active clusters), and network level (task-based functional connectivity). At the voxel level, regional level, and cluster level, no FDR-corrected significant correlation was observed between changes in functional activity and electric fields. However, at the network level, a significant positive correlation was found between frontoparietal connectivity and the electric field at the frontopolar stimulation site (r = 0.42, p corrected = 0.02; medium effect size). Our proposed pipeline offers a methodological framework for analyzing tDCS effects by exploring dose-response relationships at different levels, enabling a direct link between electric field variability and the neural response to tDCS. The results indicate that network-based analysis provides valuable insights into the dependency of tDCS neuromodulatory effects on the individual’s regional current dose. Integration of dose-response relationships can inform dose optimization, customization, or the extraction of predictive/treatment-response biomarkers in future brain stimulation studies. Public Library of Science 2023-10-26 /pmc/articles/PMC10629666/ /pubmed/37883583 http://dx.doi.org/10.1371/journal.pcbi.1011572 Text en © 2023 Soleimani et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Soleimani, Ghazaleh
Kupliki, Rayus
Paulus, Martin
Ekhtiari, Hamed
Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels
title Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels
title_full Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels
title_fullStr Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels
title_full_unstemmed Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels
title_short Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels
title_sort dose-response in modulating brain function with transcranial direct current stimulation: from local to network levels
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629666/
https://www.ncbi.nlm.nih.gov/pubmed/37883583
http://dx.doi.org/10.1371/journal.pcbi.1011572
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