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Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review

Over the past decades, among all the non-invasive brain stimulation (NIBS) techniques, those aiming for neuromodulatory protocols have gained special attention. The traditional neurophysiological outcome to estimate the neuromodulatory effect is the motor evoked potential (MEP), the impact of NIBS t...

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Autores principales: Cruciani, Alessandro, Mancuso, Marco, Sveva, Valerio, Maccarrone, Davide, Todisco, Antonio, Motolese, Francesco, Santoro, Francesca, Pilato, Fabio, Spampinato, Danny Adrian, Rocchi, Lorenzo, Di Lazzaro, Vincenzo, Capone, Fioravante
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461063/
https://www.ncbi.nlm.nih.gov/pubmed/37645690
http://dx.doi.org/10.3389/fnhum.2023.1247104
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author Cruciani, Alessandro
Mancuso, Marco
Sveva, Valerio
Maccarrone, Davide
Todisco, Antonio
Motolese, Francesco
Santoro, Francesca
Pilato, Fabio
Spampinato, Danny Adrian
Rocchi, Lorenzo
Di Lazzaro, Vincenzo
Capone, Fioravante
author_facet Cruciani, Alessandro
Mancuso, Marco
Sveva, Valerio
Maccarrone, Davide
Todisco, Antonio
Motolese, Francesco
Santoro, Francesca
Pilato, Fabio
Spampinato, Danny Adrian
Rocchi, Lorenzo
Di Lazzaro, Vincenzo
Capone, Fioravante
author_sort Cruciani, Alessandro
collection PubMed
description Over the past decades, among all the non-invasive brain stimulation (NIBS) techniques, those aiming for neuromodulatory protocols have gained special attention. The traditional neurophysiological outcome to estimate the neuromodulatory effect is the motor evoked potential (MEP), the impact of NIBS techniques is commonly estimated as the change in MEP amplitude. This approach has several limitations: first, the use of MEP limits the evaluation of stimulation to the motor cortex excluding all the other brain areas. Second, MEP is an indirect measure of brain activity and is influenced by several factors. To overcome these limitations several studies have used new outcomes to measure brain changes after neuromodulation techniques with the concurrent use of transcranial magnetic stimulation (TMS) and electroencephalogram (EEG). In the present review, we examine studies that use TMS-EEG before and after a single session of neuromodulatory TMS. Then, we focused our literature research on the description of the different metrics derived from TMS-EEG to measure the effect of neuromodulation.
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spelling pubmed-104610632023-08-29 Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review Cruciani, Alessandro Mancuso, Marco Sveva, Valerio Maccarrone, Davide Todisco, Antonio Motolese, Francesco Santoro, Francesca Pilato, Fabio Spampinato, Danny Adrian Rocchi, Lorenzo Di Lazzaro, Vincenzo Capone, Fioravante Front Hum Neurosci Neuroscience Over the past decades, among all the non-invasive brain stimulation (NIBS) techniques, those aiming for neuromodulatory protocols have gained special attention. The traditional neurophysiological outcome to estimate the neuromodulatory effect is the motor evoked potential (MEP), the impact of NIBS techniques is commonly estimated as the change in MEP amplitude. This approach has several limitations: first, the use of MEP limits the evaluation of stimulation to the motor cortex excluding all the other brain areas. Second, MEP is an indirect measure of brain activity and is influenced by several factors. To overcome these limitations several studies have used new outcomes to measure brain changes after neuromodulation techniques with the concurrent use of transcranial magnetic stimulation (TMS) and electroencephalogram (EEG). In the present review, we examine studies that use TMS-EEG before and after a single session of neuromodulatory TMS. Then, we focused our literature research on the description of the different metrics derived from TMS-EEG to measure the effect of neuromodulation. Frontiers Media S.A. 2023-08-14 /pmc/articles/PMC10461063/ /pubmed/37645690 http://dx.doi.org/10.3389/fnhum.2023.1247104 Text en Copyright © 2023 Cruciani, Mancuso, Sveva, Maccarrone, Todisco, Motolese, Santoro, Pilato, Spampinato, Rocchi, Di Lazzaro and Capone. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Cruciani, Alessandro
Mancuso, Marco
Sveva, Valerio
Maccarrone, Davide
Todisco, Antonio
Motolese, Francesco
Santoro, Francesca
Pilato, Fabio
Spampinato, Danny Adrian
Rocchi, Lorenzo
Di Lazzaro, Vincenzo
Capone, Fioravante
Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
title Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
title_full Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
title_fullStr Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
title_full_unstemmed Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
title_short Using TMS-EEG to assess the effects of neuromodulation techniques: a narrative review
title_sort using tms-eeg to assess the effects of neuromodulation techniques: a narrative review
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461063/
https://www.ncbi.nlm.nih.gov/pubmed/37645690
http://dx.doi.org/10.3389/fnhum.2023.1247104
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