The Science Behind TCeMEPs: Transcranial Electrical Motor Evoked Potentials. Part 1

In the Intraoperative Neurophysiological Monitoring (IONM) world, few tools are as crucial to providing real-time motor function assessment as Transcranial Motor Evoked Potentials (TCeMEPs). They provide neurophysiological assessment of the motor fibers to assist clinicians in monitoring the integrity of the descending motor pathways, namely the corticospinal tract responsible for voluntary motor sequences. TCeMEPs are used throughout various procedures, such as during complex spine surgeries, brain tumor resections, brainstem surgeries, and any procedure involving the potential for motor function integrity loss.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-22
DOI
https://doi.org/10.5281/zenodo.15264928
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

The Science Behind TCeMEPs: Transcranial Electrical Motor Evoked Potentials. Part 1

Zenodo (CERN European Organization for Nuclear Research)
Industrial Vision Systems and Defect Detection
article

The Science Behind TCeMEPs: Transcranial Electrical Motor Evoked Potentials. Part 1

article en

Abstract

In the Intraoperative Neurophysiological Monitoring (IONM) world, few tools are as crucial to providing real-time motor function assessment as Transcranial Motor Evoked Potentials (TCeMEPs). They provide neurophysiological assessment of the motor fibers to assist clinicians in monitoring the integrity of the descending motor pathways, namely the corticospinal tract responsible for voluntary motor sequences. TCeMEPs are used throughout various procedures, such as during complex spine surgeries, brain tumor resections, brainstem surgeries, and any procedure involving the potential for motor function integrity loss.

Zenodo (CERN European Organization for Nuclear Research)
The University of Texas at Dallas (US), Global University (LB)
Openalex Percentile: Top 44%
Industrial Vision Systems and Defect Detection
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