Interpretation Challenges of Intraoperative Neurophysiological Monitoring Waveforms: A Technical Note

Intraoperative neurophysiological monitoring (IONM) using motor evoked potentials (MEPs) and somatosensory evoked potentials (SEPs) is widely used during neurosurgical procedures to reduce the risk of postoperative neurological deficits. However, interpretation of intraoperative waveforms is often challenging because signal changes do not always clearly meet established alarm criteria. In this technical note, we present representative patterns of normal, uncertain, and abnormal IONM waveforms and discuss interpretative challenges associated with ambiguous recordings. A retrospective descriptive review was performed on seven adult patients who underwent neurosurgical procedures with intraoperative MEP and SEP monitoring. Waveforms were qualitatively categorized based on morphology, amplitude, latency, and reproducibility across repeated stimulations. Normal waveforms demonstrated stable morphology, reproducible amplitudes, and physiologic latency ranges. Abnormal waveforms showed marked signal attenuation or complete loss of reproducible responses. In contrast, uncertain waveforms exhibited partial amplitude reduction, fluctuating morphology, limited reproducibility, or latency values overlapping normal ranges despite qualitative instability. These equivocal patterns could not be reliably classified using conventional binary alarm criteria alone. Our observations suggest that intraoperative MEP and SEP interpretation cannot always be reduced to a binary normal-versus-abnormal framework. Recognition of an intermediate "uncertain" waveform category may improve contextual intraoperative assessment, prompt careful reassessment of reversible factors, and better reflect the dynamic complexity of neuromonitoring.

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Publication Details

Journal
Journal of Korean Neurosurgical Society
Published
2026-04-27
DOI
https://doi.org/10.3340/jkns.2026.0082
Primary Topic
Intraoperative Neuromonitoring and Anesthetic Effects
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article
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article

Interpretation Challenges of Intraoperative Neurophysiological Monitoring Waveforms: A Technical Note

Hyeong Cheol Moon, Byeong Ho Oh, Jae Hoon Woo, Jong Beom Lee
Journal of Korean Neurosurgical Society
Intraoperative Neuromonitoring and Anesthetic Effects
article

Interpretation Challenges of Intraoperative Neurophysiological Monitoring Waveforms: A Technical Note

Hyeong Cheol Moon, Byeong Ho Oh, Jae Hoon Woo, Jong Beom Lee
article en

Abstract

Intraoperative neurophysiological monitoring (IONM) using motor evoked potentials (MEPs) and somatosensory evoked potentials (SEPs) is widely used during neurosurgical procedures to reduce the risk of postoperative neurological deficits. However, interpretation of intraoperative waveforms is often challenging because signal changes do not always clearly meet established alarm criteria. In this technical note, we present representative patterns of normal, uncertain, and abnormal IONM waveforms and discuss interpretative challenges associated with ambiguous recordings. A retrospective descriptive review was performed on seven adult patients who underwent neurosurgical procedures with intraoperative MEP and SEP monitoring. Waveforms were qualitatively categorized based on morphology, amplitude, latency, and reproducibility across repeated stimulations. Normal waveforms demonstrated stable morphology, reproducible amplitudes, and physiologic latency ranges. Abnormal waveforms showed marked signal attenuation or complete loss of reproducible responses. In contrast, uncertain waveforms exhibited partial amplitude reduction, fluctuating morphology, limited reproducibility, or latency values overlapping normal ranges despite qualitative instability. These equivocal patterns could not be reliably classified using conventional binary alarm criteria alone. Our observations suggest that intraoperative MEP and SEP interpretation cannot always be reduced to a binary normal-versus-abnormal framework. Recognition of an intermediate "uncertain" waveform category may improve contextual intraoperative assessment, prompt careful reassessment of reversible factors, and better reflect the dynamic complexity of neuromonitoring.

Journal of Korean Neurosurgical Society
Chungbuk National University Hospital (KR)
Openalex Percentile: Top 6%
Intraoperative Neuromonitoring and Anesthetic Effects
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