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DOI 10.1007/s10877-022-00972-5

Медицинская библиотека · Journal of clinical monitoring and computing · 2023

Feasibility and optimal choice of stimulation parameters for supramaximal stimulation of motor evoked potentials.

Dulfer S E, Lange F, Sahinovic M M, Wapstra F H, Absalom A R, Faber C, Groen R J M, Drost G

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Аннотация

PURPOSE: The aim was to investigate the feasibility and optimal stimulation parameters for supramaximal stimulation of muscle recorded transcranial electrical stimulation motor evoked potentials (mTc-MEP).

METHODS

Forty-seven consecutive patients that underwent scoliosis surgery were included. First, the feasibility of supramaximal stimulation was assessed for two settings (setting 1: pulse duration 0.075ms, interstimulus interval (ISI) 1.5ms; setting 2: pulse duration 0.300ms, ISI 3ms). Thereafter, three mTc-MEP parameters were considered for both settings; (1) elicitability, (2) amplitude, and (3) if supramaximal stimulation was achieved with ≥ 20 V below maximum output. Finally, ISIs (1ms-4ms) were optimized for setting 1.

RESULTS

Nine patients (19.15%) were excluded. Of the remaining patients, supramaximal stimulation was achieved in all patients for setting 1, and in 26 (68.42%) for setting 2. In one patient, mTc-MEPs were elicitable in more muscles for setting (1) Amplitudes were not significantly different. Stimulation voltage could be increased ≥ 20 V in all 38 patients for setting 1 and in 10 (38.46%) for setting (2) Optimal ISI's differed widely.

CONCLUSION

We recommend using setting 1 when monitoring mTc-MEPs with supramaximal stimulation, after which an individualized ISI optimization can be performed. Moreover, when using supramaximal stimulation, short ISI's (i.e. 1ms or 1.5ms) can be the optimal ISI for obtaining the highest mTc-MEP amplitude.

Для цитирования: Dulfer S E, Lange F, Sahinovic M M, Wapstra F H, Absalom A R, Faber C, Groen R J M, Drost G. Feasibility and optimal choice of stimulation parameters for supramaximal stimulation of motor evoked potentials.. Journal of clinical monitoring and computing. 2023. DOI: 10.1007/s10877-022-00972-5.

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