| Literature DB >> 28710663 |
Shuta Ushio1,2, Shigenori Kawabata3,4, Satoshi Sumiya3, Tsuyoshi Kato3, Toshitaka Yoshii3, Tsuyoshi Yamada3, Mitsuhiro Enomoto3, Atsushi Okawa3.
Abstract
This study sought to evaluate the facilitation effect of repetitive multi-train transcranial electrical stimulation (mt-TES) at 2 repetition rates on transcranial electrical motor evoked potential (Tc-MEP) monitoring during spinal surgery, and to assess the induction rate in patients with impaired motor function from a compromised spinal cord or spinal nerve. We studied 32 consecutive patients with impaired motor function undergoing cervical or thoracic spinal surgery (470 muscles). A series of 10 TESs with 5 pulse trains were preoperatively delivered at 2 repetition rates (1 and 5 Hz). All peak-topeak amplitudes of the MEPs of the upper and lower extremity muscles elicited by the 10 TESs were measured. The induction rates of the lower extremity muscles were also assessed with muscle and preoperative lower extremity motor function scores. In each of the muscles, MEP amplitudes were augmented by about 2-3 times at 1 Hz and 5-6 times at 5 Hz. Under the 5-Hz condition, all limb muscles showed significant amplification. Also, in all preoperative motor function score groups, the amplitudes and induction rates of the lower extremity muscles were significantly increased. Moreover, the facilitation effects tended to peak in the last half of the series of 10 TESs. In all score groups of patients with preoperative neurological deficits, repetitive mt-TES delivered at a frequency of 5 Hz markedly facilitated the MEPs of all limb muscles and increased the induction rate. We recommend this method to improve the reliability of intraoperative monitoring during spinal surgery.Entities:
Keywords: Facilitation; Induction rate; Intraoperative neurophysiologic monitoring; Motor function score; Spine surgery; Transcranial electrical motor evoked potentials
Mesh:
Year: 2017 PMID: 28710663 DOI: 10.1007/s10877-017-0045-8
Source DB: PubMed Journal: J Clin Monit Comput ISSN: 1387-1307 Impact factor: 2.502