Accurate determination of motor evoked potential amplitude in TMS: The impact of personal and experimental factors.

Clin Neurophysiol

REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium.

Published: December 2024

AI Article Synopsis

  • Researchers explored how to optimize the number of trials needed for accurate motor-evoked potentials (MEPs) using transcranial magnetic stimulation (TMS) by analyzing personal and experimental variables.
  • They conducted a study with 47 young participants, collecting a total of 550 MEPs at various intensities, and determined how factors like TMS intensity, baseline resting motor threshold, and outlier exclusion influenced the required number of trials.
  • The findings highlight the importance of customizing TMS protocols due to variability, offering predictive equations and a tool to help future researchers select the optimal number of trials based on specific conditions.

Article Abstract

Objective: Corticospinal excitability can be quantified using motor-evoked potentials (MEP) following transcranial magnetic stimulation (TMS). However, the inherent variability of MEPs poses significant challenges. We establish a framework using personal and experimental factors to select the optimal number of trials (n) required for reliable MEP estimates.

Methods: 47 healthy younger underwent single-pulse TMS over the left primary motor cortex (M1). Per participant, 550 MEPs were collected at intensities ranging from 110 % to 150 % of the resting motor threshold (rMT), in 10 % increments. Per intensity, we calculated n. We analyzed which personal and experimental factors affected n.

Results: n decreased with increasing TMS intensity, lower rMT baseline values, and exclusion of single-trial outliers. Sex had no significant effect.

Conclusions: Our study indicates that even when TMS is used as an outcome measure, custom-tailoring its protocol to study-related circumstances is key, as TMS intensity, outliers, baseline rMT, and the desired precision level affect the number of TMS trials needed to obtain a reliable MEP. Thus, we underscore the absence of a universal rule-of-thumb rule, although our predictive equations and online tool provide future TMS experimenters with the means to estimate the required number of TMS trials based on individual characteristics and specific experimental conditions.

Significance: Our predictive equations offer a tailored approach for selecting n, enhancing the reliability of TMS-derived corticospinal excitability measurements.

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Source
http://dx.doi.org/10.1016/j.clinph.2024.12.009DOI Listing

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