A framework to assess the impact of number of trials on the amplitude of motor evoked potentials

Abstract The amplitude of motor evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) is a common yet highly variable measure of corticospinal excitability. The tradeoff between maximizing the number of trials and minimizing experimental time remains a hurdle. It is therefore...

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Autores principales:	Claudia Ammann, Pasqualina Guida, Jaime Caballero-Insaurriaga, José A. Pineda-Pardo, Antonio Oliviero, Guglielmo Foffani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/447d18b3593c496aa9e6c3728c7538ee
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spelling	oai:doaj.org-article:447d18b3593c496aa9e6c3728c7538ee2021-12-02T11:43:58ZA framework to assess the impact of number of trials on the amplitude of motor evoked potentials10.1038/s41598-020-77383-62045-2322https://doaj.org/article/447d18b3593c496aa9e6c3728c7538ee2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77383-6https://doaj.org/toc/2045-2322Abstract The amplitude of motor evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) is a common yet highly variable measure of corticospinal excitability. The tradeoff between maximizing the number of trials and minimizing experimental time remains a hurdle. It is therefore important to establish how many trials should be used. The aim of this study is not to provide rule-of-thumb answers that may be valid only in specific experimental conditions, but to offer a more general framework to inform the decision about how many trials to use under different experimental conditions. Specifically, we present a set of equations that show how the number of trials affects single-subject MEP amplitude, population MEP amplitude, hypothesis testing and test–retest reliability, depending on the variability within and between subjects. The equations are derived analytically, validated with Monte Carlo simulations, and representatively applied to experimental data. Our findings show that the minimum number of trials for estimating single-subject MEP amplitude largely depends on the experimental conditions and on the error considered acceptable by the experimenter. Conversely, estimating population MEP amplitude and hypothesis testing are markedly more dependent on the number of subjects than on the number of trials. These tools and results help to clarify the impact of the number of trials in the design and reproducibility of past and future experiments.Claudia AmmannPasqualina GuidaJaime Caballero-InsaurriagaJosé A. Pineda-PardoAntonio OlivieroGuglielmo FoffaniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Claudia Ammann Pasqualina Guida Jaime Caballero-Insaurriaga José A. Pineda-Pardo Antonio Oliviero Guglielmo Foffani A framework to assess the impact of number of trials on the amplitude of motor evoked potentials
description	Abstract The amplitude of motor evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) is a common yet highly variable measure of corticospinal excitability. The tradeoff between maximizing the number of trials and minimizing experimental time remains a hurdle. It is therefore important to establish how many trials should be used. The aim of this study is not to provide rule-of-thumb answers that may be valid only in specific experimental conditions, but to offer a more general framework to inform the decision about how many trials to use under different experimental conditions. Specifically, we present a set of equations that show how the number of trials affects single-subject MEP amplitude, population MEP amplitude, hypothesis testing and test–retest reliability, depending on the variability within and between subjects. The equations are derived analytically, validated with Monte Carlo simulations, and representatively applied to experimental data. Our findings show that the minimum number of trials for estimating single-subject MEP amplitude largely depends on the experimental conditions and on the error considered acceptable by the experimenter. Conversely, estimating population MEP amplitude and hypothesis testing are markedly more dependent on the number of subjects than on the number of trials. These tools and results help to clarify the impact of the number of trials in the design and reproducibility of past and future experiments.
format	article
author	Claudia Ammann Pasqualina Guida Jaime Caballero-Insaurriaga José A. Pineda-Pardo Antonio Oliviero Guglielmo Foffani
author_facet	Claudia Ammann Pasqualina Guida Jaime Caballero-Insaurriaga José A. Pineda-Pardo Antonio Oliviero Guglielmo Foffani
author_sort	Claudia Ammann
title	A framework to assess the impact of number of trials on the amplitude of motor evoked potentials
title_short	A framework to assess the impact of number of trials on the amplitude of motor evoked potentials
title_full	A framework to assess the impact of number of trials on the amplitude of motor evoked potentials
title_fullStr	A framework to assess the impact of number of trials on the amplitude of motor evoked potentials
title_full_unstemmed	A framework to assess the impact of number of trials on the amplitude of motor evoked potentials
title_sort	framework to assess the impact of number of trials on the amplitude of motor evoked potentials
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/447d18b3593c496aa9e6c3728c7538ee
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A framework to assess the impact of number of trials on the amplitude of motor evoked potentials

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