4.5 Article

Near-threshold recruitment characteristics of motor evoked potentials in transcranial magnetic stimulation

Journal

BRAIN RESEARCH
Volume 1805, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.brainres.2023.148284

Keywords

Transcranial magnetic stimulation; Stimulation Intensity; Recruitment curve; Motor evoked potentials; MEP; Motor threshold

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Transcranial magnetic stimulation (TMS) can be used to induce motor evoked potentials (MEPs). This study aimed to characterize the individual near-threshold recruitment of MEPs and determine the proper suprathreshold stimulation intensity (SI). The study found that individual near-threshold characteristics significantly influenced MEP production at suprathreshold SIs and emphasized the importance of selecting the appropriate SI for TMS applications.
Transcranial magnetic stimulation (TMS) can induce motor evoked potentials (MEPs). In TMS applications, near -threshold stimulation intensities (SIs) are often used for characterizing corticospinal excitability using MEPs. We aimed to characterize the individual near-threshold recruitment of MEPs and to test the assumptions related to selection of the suprathreshold SI. We utilized MEP data from a right-hand muscle induced at variable SIs. The single-pulse TMS (spTMS) data from previous studies (27 healthy volunteers), as well as data from new mea-surements (10 healthy volunteers) that included also MEPs modulated by paired-pulse TMS (ppTMS), were included. The probability of MEP (pMEP) was represented with individually fitted cumulative distribution func-tion (CDF) with two parameters: resting motor threshold (rMT) and spread relative to rMT. MEPs were recorded with 110% and 120% of rMT as well as with Mills-Nithi upper threshold (UT). The individual near-threshold characteristics varied with CDF parameters: the rMT and the relative spread (median: 0.052). The rMT was lower with ppTMS than with spTMS (p < 0.001), while the relative spread remained similar (p = 0.812). At suprathreshold SIs, the probability of MEP was similar between UT and 110% of rMT (pMEP > 0.88), and higher for 120% of rMT (pMEP > 0.98). The individual near-threshold characteristics determine how probably MEPs are produced at common suprathreshold SIs. At the population level, the used SIs UT and 110% of rMT produced MEPs at similar probability. The individual variability in the relative spread parameter was large; therefore, the method of determining the proper suprathreshold SI for TMS applications is of crucial importance.

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