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. 2026 May 7;7(3):e000237. doi: 10.1227/neuprac.0000000000000237

Corticobulbar Motor Evoked Potentials: A Systematic Review of Technical Variations

Casey A Jarvis 1, Matthew Toczylowski 2, Mitali Bose 2, Ruchit V Patel 1, Julia Wang 3, James Tanner McMahon 1, Wenya Linda Bi 1,✉
PMCID: PMC13148752  PMID: 42100545

Abstract

BACKGROUND AND OBJECTIVES:

Corticobulbar motor evoked potentials (coMEPs) were introduced in 2005 as an alternative to direct stimulation and free running electromyography for continuous monitoring of the facial nerve during skull base surgery. The technique has been expanded for monitoring of multiple cranial nerves (CNs) and adapted across diverse pathologies. Nonetheless, broad adoption has lagged. This study aimed to understand the basis of this disparity by systematically mapping current practices and characterizing the variations in technical implementation and reporting of coMEPs.

METHODS:

We conducted a Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 adherent systematic review of all articles reporting coMEP neuromonitoring published through December 6, 2023. Multiple reviewers screened publications for inclusion. Data were extracted using a standardized template to enable quantitative and qualitative data synthesis. Aggregate data were analyzed to address incidence, reporting variability, and sensitivity/specificity of the method.

RESULTS:

We identified 2711 unique cases using coMEPs, reported across 72 studies (2005-2023). Significant heterogeneity was observed in the technique of coMEPs, including stimulation montages and measurements of accuracy. Overall, 81.9% (59/72) of studies reported clinical outcomes, whereas the remainder were technically focused. coMEPs were often used alongside other neuromonitoring modalities (87.5% of studies, 63/72), but performance was directly compared only 25% of the time (18/72). The facial nerve was the most common single target analyzed (n = 41 publications), followed by the vagus (n = 9). Twenty-two percent of studies analyzed multiple CNs (n = 16). Less than 50% of facial nerve studies, and no vagal nerve study, reported sensitivity or specificity of coMEPs.

CONCLUSION:

coMEPs are an evolving technique in intraoperative neuromonitoring, powerful for their continuous monitoring of the entire motor pathways involving a CN. Comparison of the sensitivity and specificity of coMEPs to other modalities was limited by inconsistent reporting, highlighting the need for further investigation and prospective studies. Standardization of technique may facilitate broader adoption and acceptance of coMEPs.

KEY WORDS: Neuromonitoring, Motor evoked potentials, Corticobulbar, Skull base surgery


ABBREVIATIONS:

AI

artificial intelligence

coMEPs

corticobulbar motor evoked potentials

EMG

electromyography

IONM

intraoperative neuromonitoring

MVD

microvascular decompression.

Intraoperative neuromonitoring (IONM) of cranial nerves (CNs) was developed in the 1960s to reduce facial nerve injury during vestibular schwannoma resection.1 Direct or triggered electromyography (EMG) and free running EMG were the original monitoring modalities introduced. Triggered EMG allows the operator to locate the course of a nerve intraoperatively and assess nerve function on demand; it relies on direct stimulation, thereby providing intermittent feedback (Figure 1). Continuous triggered EMG was subsequently developed to address this limitation, although it still requires exposure of the nerve, which may be challenging in some cases.2 Free-running EMG also provides continuous monitoring, however, it relies on irritation of the nerve and is subject to significant artifact. In addition, only select muscles may fire with any of these modalities, with the risk of false negatives.

FIGURE 1.

FIGURE 1.

Differing pathways of EMG and corticobulbar motor evoked potential monitoring. Illustration of the differences in the stimulation location and monitored pathway between coMEPs (blue) and triggered EMG (red). coMEPs monitor the health of the entire neural pathway from motor cortex to neuromuscular junction, whereas triggered EMG monitoring can only distinguish injury distal to the point of stimulation. CN, cranial nerve; coMEPs, corticobulbar motor evoked potentials; EMG, electromyography. © 2026, Used with permission from Julia Wang.

Corticobulbar motor evoked potentials (coMEPs) were introduced in 20053,4 as an alternative to direct stimulation and free-running EMGs for facial nerve monitoring during skull base surgery. coMEPs enable continuous monitoring of facial functional integrity from the motor cortex to the neuromuscular junction, without the need for nerve exposure (Figure 1). Similar to transcranial motor evoked potentials (MEPs) for limb monitoring, coMEPs inform surgical decision making, particularly in eloquent areas such as the brainstem.5 With free-running EMG, the feedback signal relies on irritation of the nerve. Therefore a severed nerve may be indistinguishable from a healthy nerve, due to the lack of signal produced. With triggered EMG, neural injury can only be detected if stimulating proximal to the site of injury (Figure 2). Therefore, false negatives are a significant issue as the signal from a nerve distal to the site of injury is identical to a healthy nerve. The strength of coMEPs lies in their ability to monitor the entire pathway, allowing them to capture the decrease in nerve signal proportional to the extent of pathway injury at any point.

FIGURE 2.

FIGURE 2.

Comparison of EMG and corticobulbar motor evoked potential signals. Comparative neural signal response tracings between spontaneous EMG, triggered EMG, and corticobulbar motor evoked potentials demonstrating the differential response in the healthy, irritated, injured, and severed nerve. EMG, electromyography; MEP, motor evoked potential. © 2026, Used with permission from Julia Wang.

Since their introduction, coMEPs have been expanded for monitoring of CNs V, VII, IX, X, XI, and XII, although widespread adoption has been limited by surgeon experience and inconsistent outcomes. We hypothesize that these inconsistencies are largely due to variations in technical implementation. This study reviews the current use of coMEPs in skull base surgery, their evolving applications, technical variations, and future potential.

METHODS

Study Selection

We conducted a systematic review using Covidence to include all articles reporting coMEP neuromonitoring published in Pubmed, Embase, and the Web of Science from inception through December 6, 2023 using the following search terms: [corticobulbar OR (cranial AND nerve*) OR (facial AND nerve) OR (oculomotor AND nerve) OR (mandibular AND nerve) OR (vagus AND nerve) OR (accessory AND nerve) OR (spinal AND accessory AND nerve) OR (glossopharyngeal AND nerve)] AND [motor AND evoked AND potential* OR (“motor evoked” AND potential) OR MEP OR cbMEP OR coMEP] AND (operative OR surgery OR neurosurgery). Articles were included in the analysis if they reported any application of coMEP for monitoring of any CN for any cranial or cervical spine pathology and described electrode placement, nerves and muscles studied, and stimulation parameters used. Multiple study designs were permitted, including randomized controlled trials, case-control, cohort, cross-sectional, case series, and case reports. Studies not available in English, animal studies, nonoriginal investigations (reviews, editorials, letters), investigations in which only abstracts were available, and nonpeer reviewed materials were excluded. Each article was manually screened by at least 2 of 4 independent reviewers (C.A.J., R.V.P., M.B., T.M.) in 2 rounds: first by abstracts, then by full text (Figure 3). Discrepancies were resolved by a third reviewer (W.L.B.). This study adhered to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews. This study was not registered and no protocol was prepared.

FIGURE 3.

FIGURE 3.

Preferred reporting items for systematic reviews and meta-analyses study selection flow diagram. Flow diagram depicting the process of study identification, screening, eligibility assessment, and final inclusion in the qualitative synthesis.

Data Extraction

Our primary outcomes of interest included methodology of implementation as well as sensitivity and specificity of the neuromonitoring modality. We extracted data on study design, country of investigation, pathology, patient age range, and the number of cases using coMEPs. We also recorded the terminology used for coMEPs in each study, as well as the CNs and muscles monitored, and comparative data with other neuromonitoring modalities. Technical data regarding stimulation methods (electrode placement, type of electrodes, whether the electrodes were insulated or noninsulated), stimulation parameters (type, filter settings, pulse duration, train length, interstimulus interval, constant current or constant voltage, and the use of fixed or variable parameters), method of artifact detection, double train application and timing, and equipment used were documented. Anesthetic use, outcome measures, and follow-up time were collected when available, including intraoperative responses, postoperative function, amplitude decrease to deficit, sensitivity, specificity, monitorability rate (defined as proportion of patients in whom an interpretable coMEP signal could be recorded at baseline), and false-positive/negative rates. Studies that did not include clear reporting of CNs monitored or outcome measures were not included in the quantitative synthesis of metrics.

Statistical Analysis

We analyzed aggregate data to assess the incidence, reporting variability, and sensitivity/specificity of coMEPs. Statistical analysis and data visualization were conducted using Excel v16.103.2 (Microsoft Excel) and R version 4.3.2, R studio 2024.12.0 (The R Foundation).

RESULTS

Evolution of coMEPs

Experience with coMEPs has grown in the 2 decades since its introduction for facial nerve monitoring (Figure 4A). Reflective of its origins, the most common coMEP application was in cerebellopontine angle surgeries, primarily for vestibular schwannoma (37/72 studies, 52%), followed by microvascular decompression (MVD) and other skull base pathologies (Figure 4B). Only 4% of studies focused on brainstem pathologies, with the remaining 18% not specified or including other pathologies not otherwise categorized.

FIGURE 4.

FIGURE 4.

Cohort overview. A, Year of publication for included studies on corticobulbar motor evoked potentials. B, Distribution of surgical locations and procedures in which any corticobulbar motor evoked potential monitoring was used. C, Number of patients included per study. D, Frequency heatmap of study location. E, Cranial nerves that were monitored across studies, with percentages reflecting the proportion of included studies monitoring that cranial nerve. Percentages sum to >100, reflecting that some studies included multiple nerves in monitoring. CP, cerebellopontine; MVD, microvascular decompression.

Of 3078 cases using corticobulbar MEPs, reported in 72 studies from 2005 to 2023 (Table 1), at least 2711 were unique, with the remaining 367 cases from groups with multiple publications that could not be verified as distinct. Most studies (91.7%) were case reports or case series (median 26 cases, range 1-367 cases) (Figure 4C), and only one study identified was prospectively designed. coMEP studies largely came from a small group of select countries, led by Japan (25%), followed by China (11.1%), the US (9.7%) and Germany (9.7%) (Figure 4D). A minority of studies (13.9%, n = 10) included pediatric patients (younger than18 years), and only one focused exclusively on this group. The facial nerve was the most commonly analyzed (included in 70.8% of studies, and the exclusive focus of 56.9% of studies), followed by the vagus nerve (included in 27.8% of studies, exclusive focus of 12.5% of studies), with a small number focusing on hypoglossal and glossopharyngeal pathways, indicating incipient experience in the field (Figure 4E). Studies monitored up to 6 CNs concurrently, with the majority monitoring just a single nerve (Figure 5A). Most CNs were monitored by a single muscle, although studies of the facial nerve frequently monitored 2 to 3 muscles, with some studies monitoring up to 5 (Figure 5B).

TABLE 1.

Comprehensive Table of Studies Included in the Systematic Review

Source Journal Country of origin Study design Pathology Patient age range (y) No. of cases involving coMEPs Cranial nerves used for recording Muscles studied
Deletis et al6 Clin Neurophysiol USA Case control Brain surgery, NOS 27-68 9 10 Cricothyroid
Fernandez Conejero et al7 Clin Neurophysiol Spain Case series Vestibular schwannoma, posterior fossa meningioma, clivus chordoma, other posterior fossa pathologies 35-61 100 7 Orbicularis oris, orbicularis oculi, mentalis, nasalis
Rogic Vidakovic et al8 Clin Neurophysiol Croatia Case control Left craniotomy for tumor (frontal, temporal, or parietal) 20-68 15 10 Cricothyroid
Kim et al9 Clin Neurophysiol Pract South Korea Case series Cervical spine surgeries 22-79 25 9 Tongue
Bovo et al10 J Neurol Surg A Cent Eur Neurosurg Switzerland Case series Vestibular schwannoma, other CPA pathologies 42-72 33 7 Mentalis, orbicularis oris, nasalis
Tawfik et al11 Ann Otol Rhinol Laryngol USA Cohort study Vestibular schwannoma 38-63 20 7 Orbicularis oris
Tellez et al12 Clin Neurophysiol USA Case series CPA and brainstem pathologies 4-77 41 10 Masseter, facial, pharyngeal, vocal fold, trapezius, tongue
Della Pepa et al13 Neurosurgery Italy Case series CPA extra-axial tumors — 83 7 Orbicularis oris, orbicularis oculi
Zhang et al14 J Clin Neurosci China Case series Large and giant aneurysms of the anterior circulation 50.0 ± 13.2 21 7 Orbicularis oculi
Wilkinson and Kaufmann15 Can J Neurol Sci Canada Case series Hemifacial spasm or trigeminal neuralgia MVD — 27 7, 8 Orbicularis oculi, orbicularis oris, mentalis
Hiruta et al16 Clin Neurophysiol Japan Case series CPA tumors 18-80 62 7 Orbicularis oris
Greve et al17 J Clin Monit Comput Germany Case series CPA tumor surgery: vestibula schwannoma, meningioma, other 22-78 79 7 Orbicularis oculi, orbicularis oris, mentalis muscles
Tokimura et al18 Neurosurg Rev Japan Case control Vestibular schwannoma 27-75 20 7 Orbicularis oculi, orbicularis oris
Ling et al19 World Neurosurg China Case series Vestibular schwannoma 22-65 106 7, 5 Masseter, orbicularis oris, orbicularis oculi, mentalis
Fernandez Conejero et al20 Clin Neurophysiol Spain Case series Hemifacial spasm MVD — 17 7 Orbicularis oris
Fukuda et al21 J Neurol Neurosurg Psychiatry Japan Case series Hemifacial spasm MVD 25-70 25 7 Orbicularis oculi, orbicularis oris, mentalis
Fukuda et al22 World Neurosurg Japan Case series Skull base tumors 50.9 ± 21.8 36 9, 10 Pharyngeal
Ichino et al23 J Anesth Japan Case series Thyroid surgery 56 ± 16 54 10 Laryngeal
Wilkinson et al24 J Neurosurg Canada Case series Hemifacial spasm MVD 18-75 31 7 Orbicularis oculi, orbicularis oris, mentalis
Ito et al25 J Neurosurg Japan Case series Skull base or brainstem tumors 19-69 15 10 Laryngeal
Matthies et al26 Clin Neurol Neurosurg Germany Case series CPA tumors, trigeminal neuralgia 10-76 57 7 Orbicularis oculi, orbicularis oris
Song et al27 Medicine (Baltimore) China Case series CPA tumors 51.4 ± 11.4 97 7 Mentalis
Bozinov et al28 World Neurosurg Switzerland Case series Multiple tumor pathologies 0.5-15 24 7 Orbicularis oculi, orbicularis oris, mentalis
Sarnthein et al29 Clin Neurophysiol Switzerland Case series Vascular and tumor indications 62 ± 19 18 12 Tongue
Martucci et al30 Children (Basel) Italy Case control Thyroid surgery (hemi or total) 3.9 13 10 (recurrent laryngeal) Laryngeal
Bhimrao et al31 Otol Neurotol Canada Case series Vestibular schwannoma 13-81 367 7 Orbicularis oris
Dong et al4 Clin Neurophysiol Canada Case series CPA tumors, skull base tumors 5-77 76 7 Orbicularis oris
Slotty et al32 J Neurosurg Japan Case series Posterior fossa surgery 50.6 ± 14.1 305 7, 10 Facial muscles (unspecified), pharyngeal
Ilgezdi-Kaya et al33 J Clin Monit Comput Turkey Case report Vagal nerve schwannoma 36 1 10 Vocalis
Tanaka et al34 Cureus Japan Case report Vagal nerve schwannoma 42 1 10 Laryngeal
Fukuda et al35 Surg Neurol Int Japan Case series Skull base tumors - 10 9,10 Pharyngeal, laryngeal
Greve et al36 Cancers (Basel) Germany Case series Vestibular schwannoma 21.4-83.5 60 7 Orbicularis oculi, orbicularis oris, mentalis
D'Alessandris et al37 Diagnostics (Basel) Italy Case series CPA tumors >65 35 7 Orbicularis oculi, orbicularis oris
Verst et al38 Acta Neurochir (Wien) Brazil Case series CPA tumors — 23 7 Orbicularis oculi, mentalis
Fukuda et al39 Neurol Res Japan Case series Skull base tumors — 37 7 Orbicularis oculi, orbicularis oris
Acioly et al40 Acta Neurochir (Wien) Germany Case series Vestibular schwannoma 15-69 35 7 Orbicularis oculi, orbicularis oris
Goto et al41 Skull Base Japan Case series Skull base tumors, largely vestibular schwannoma — 26 7 Frontalis, orbicularis oculi, orbicularis oris
Akagami et al3 Neurosurgery Canada Case series Skull base tumors, largely vestibular schwannoma 18-77 71 7 Orbicularis oris
Deletis et al42 Clin Neurophysiol USA Case series Multiple pathologies 21-83 22 10 Laryngeal
Hendriks et al43 Acta Neurochir (Wien) The Netherlands Case series CPA tumor surgery 15-77 39 7,5 Orbicularis oculi, orbicularis oris, nasalis, mentalis, masseter
Fukuda et al44 J Neurol Neurosurg Psychiatry Japan Case series Skull base tumors — 26 7 Orbicularis oculi, orbicularis oris
Aydinlar et al45 J Clin Neurophysiol Turkey Case series Skull base tumors 4-83 40 7 Masseter, temporalis, orbicularis oculi, nasalis, mentalis
Liu et al46 Chin Med J (Engl) China Case series Large vestibular schwannoma (>4 cm) 38-69 19 7 Orbicularis oculi, orbicularis oris
Acioly et al47 Neurosurgery Germany Case series CPA tumor surgery 5-71 60 7 Orbicularis oculi and oris
Sarnthein et al48 Clin Neurophysiol Switzerland Case series Tumor, vascular 49 ± 21 21 7 Orbicularis oculi, orbicularis oris, nasalis, mentalis
Motoyama et al49 Surg Neurol Int Japan Case series Glossopharyngeal neuralgia MVD 71-79 3 7, 9, 10 Orbicularis oculi, orbicularis oris, pharyngeal, false vocal cord
Wilkinson and Kaufmann50 J Neurosurg Canada Case series Hemifacial spasm or trigeminal neuralgia MVD — 27 7 Orbicularis oculi, orbicularis oris, mentalis
Kullmann et al51 World Neurosurg Germany Case series Posterior fossa surgery 49 ± 15 63 9, 10, 12 Pharyngeal, tongue
Liu et al52 Clin Neurol Neurosurg China Case series Vestibular schwannoma 19-76 106 7 Orbicularis oculi, orbicularis oris, frontalis
Chen et al53 J Clin Neurophysiol China Case series Skull base or brainstem tumors — 51 9, 10, 12 Pharyngeal wall, cricothyroid, tongue
Hsu et al54 J Chin Med Assoc Taiwan Case series Hemifacial spasm MVD 28-80 69 7 Orbicularis oculi, mentalis
Sarnthein et al55 Neurosurg Focus Switzerland Case series CPA tumors, trigeminal neuralgia, vascular pathologies 20-84 34 7 Orbicularis oculi, orbicularis oris, nasalis, mentalis
Verst et al56 Acta Neurochir (Wien) Brazil Case series Tumors or cervical/thoracic arthrodesis 21-72 23 7 Mentalis
Fukuda et al57 Acta Neurochir (Wien) Japan Case series Hemifacial spasm MVD 35-73 26 7 Orbicularis oculi, orbicularis oris, mentalis
Bonda et al58 Cureus USA Case series Brain tumors 20-79 7 7 Vocalis, cricothyroid, orbicularis oris, mentalis, tongue
Dalvandi et al59 Eur J Transl Myol Iran Case series CPA tumors — 25 5, 7, 9, 10, 11 Masseter, frontalis, zygomaticus, buccalis, mentalis, soft palate, vocal cord, trapezius
Xu et al60 Neuro Endocrinol Lett China Case series Acoustics 48 ± 9 29 7 Orbicularis oculi, orbicularis oris, mentalis
Pavoni et al61 J Clin Anesth Italy Case series Thyroid surgery 38 ± 22 20 9 Laryngeal adductors
Mariappan et al62 Journal of Neuroanesthesiology and Critical Care India Case report CPA tumors 45 1 7 Not specified
Smolanka et al63 International Journal of Biology and Biomedical Engineering Ukraine Case series Brainstem tumors and cavernous malformations — 42 7, 9 Not specified
Hardian et al64 Journal of Neurosurgery Japan Case series Pontine cavernous malformations 18-57 10 7 Frontalis, orbicularis oculi, orbicularis oris
Matsuoka et al65 Journal of Neurosurgery: Spine Japan Case series Spine surgery 43-83 23 7 Orbicularis oris, orbicularis oculi
Romagna et al66 Neurosurgery Germany Case series CPA surgery 34-75 17 5, 7, 9, 10, 11, 12 Vocal cords, soft palate around the uvula, masseter, orbicularis oculi, orbicularis oris, trapezius, tongue
Fukuda et al67 Journal of Neurosurgery Japan Case series Skull base tumors 17-76 22 9, 10 Pharyngeal
Cosetti et al68 Journal of Neurological Surgery, Part B: Skull Base USA Case series CPA tumors 21-73 52 7 Orbicularis oris
Osburn et al69 Neurosurgery USA Case report Hemilingual spasm 52 1 12 Tongue
Kim et al70 Annals of Rehabilitation Medicine South Korea Case series Epidermoid cyst 33-38 2 12 Tongue
Sun et al71 International Journal of Clinical and Experimental Medicine China Case series Tumors 34 ± 5 30 7 Not specified
Taskiran and Küçükyürük72 Istanbul Medical Journal Turkey Case series Skull base tumors 3-72 45 6, 7, 9, 12 Not specified
Kojima et al73 World Neurosurg Japan Case series Extracranial ICA surgery 41-79 8 12 Tongue
Della Pepa et al74 Journal of Neurosurgery Italy Case series Bourth ventricle surgery 35.8 ± 18.8 21 5, 7, 9, 10, 11, 12 Masseter, orbicularis oculi, orbicularis oris, trapezius, tongue, laryngeal
Lapteva et al75 World Neurosurg Russia Prospective nonrandomized cohort study Brainstem and fourth ventricular surgery 42 ± 18 46 9, 10 Soft palate

coMEPs, corticobulbar motor evoked potentials; CPA, cerebellopontine angle; MVD, microvascular decompression; NOS, not otherwise specified.

FIGURE 5.

FIGURE 5.

Cranial nerves and muscles monitored. A, Distribution of concurrent cranial nerves monitored, with monitoring of one cranial nerve being the most frequently studied. B, Number of muscles monitored across the cranial nerves, with only cranial nerve VII being monitored at more than 2 muscles. CNs, cranial nerves.

Correlation of monitoring changes to clinically significant deficits was inconsistently reported. In all, 81.9% of studies (59/72) reported clinical outcomes, of which 48 studies reported some new postoperative deficit. Forty-four studies reported some deficits correlating with monitoring changes, and 27 reported some deficits that did not correlate with monitoring changes. Thirty-three studies reported changes in monitoring that did not result in a new postoperative deficit. Four studies reported no change in intraoperative coMEP corresponding to no postoperative deficits.

Follow-up varied widely, with 77.8% (56 studies) reporting follow-up, ranging from 0 to 30 months (average 6.6 months). Of these, 35 studies included multiple follow-up time points, whereas 18 reported only immediate postoperative follow-up or follow-up of unclear timing, and 3 studies reported just one delayed time point. The second follow-up ranged from discharge or 1 to 2 weeks postoperative up to 30 months.

Signal changes, reported in 26/41 of studies focused on the facial nerve, were measured in different ways across studies. The most common harbinger of facial nerve injury was amplitude reduction (18 studies), with alert criteria ranging from 30% to 75% decrease. Other indicators included increased stimulation thresholds (5 studies) and changes in the final-to-baseline ratio (3 studies). Of those 18 studies that relied on amplitude changes, a majority (61%, n = 11) applied a 50% amplitude decrease threshold to signal postoperative deficit.

Nearly all studies used at least one other modality of facial nerve monitoring (90.2%, 37/41), most of which included facial nerve EMG, in addition to coMEPs (68.3%, 28/41). However, only 24.4% (10/41) of studies used a direct comparator group, most frequently lateral spread response (4/10) or the blink reflex (3/10). Notably, lateral spread response was used only in studies of MVD for hemifacial spasm. Of the 26 studies reporting coMEP changes, 6 compared coMEP changes with traditional IONM changes associated with facial nerve injury.

Specificity or sensitivity was reported in less than half of the monitoring studies focused on the facial nerve (20/41). For orbicularis oris, sensitivity ranged from 53.8% to 100% (median 82.0%, IQR 67.25-90.5)3,4,11,13,16,31,47 and specificity ranged from 60% to 89.7% (median 84%, IQR 70.83-88.93).3,4,11,13,16,31,40,47 Median orbicularis oculi sensitivity was 41.7% (IQR 40.85-53.6),13,14,47 with higher specificity (median 93.15%, IQR 90.48-95.5).13,14,40,47 Mentalis sensitivity (91.3%) and specificity (98.6%) were reported in only one study.27 Median combined sensitivity and specificity for multiple facial muscles (orbicularis oris, oculi, mentalis, and nasalis) was 82.9% (IQR 69.83-97.25) and 82.0% (IQR 78.0-99.0), respectively (Figure 6).7,10,28,36-38,45,54,55 Median monitorability was 94% (IQR 87.0-100) across the 26 studies that reported.

FIGURE 6.

FIGURE 6.

Performance of facial nerve monitoring. Sensitivity and specificity of facial nerve monitoring stratified by muscle used for monitoring.

Vagus Nerve Monitoring With Corticobulbar MEPs

Nine studies focused on vagus nerve (CN X) coMEP monitoring, comprising 171 cases. The majority were for intracranial pathologies, predominantly skull base and brainstem conditions. Vagal coMEPs were also commonly applied for extracranial thyroid operations (67/171 cases, 2 studies). Vagal nerve function was assessed by monitoring the vocalis (5 studies) or cricothyroid (3 studies) muscles, or both (1 study), and was not specified in one study. Concurrent monitoring with the laryngeal adductor reflex was reported in 30% of studies.

Anesthetic Approach

Most of the included studies (70.8%, 51/72) report a total intravenous anesthetic approach, predominantly consisting of propofol with additional intravenous narcotic medications. These agents have mild to moderate, dose-dependent effects on MEP monitoring and are viewed as the standard-of-care anesthetic approach during motor monitoring.76 Seven studies (9.7%, 7/72), however, report the addition of an inhaled halogenated anesthetic to this regimen,14,15,19,24,46,50,60 whereas 2 report administration of nitrous oxide.41,64 These agents produce marked depression of MEP signals, and thus, their confounding effect must be considered when interpreting the associated studies.76 Twelve studies do not report the anesthetic regimen used, and interpretation of these results should be contextualized in the absence of these data.6,11,13,26,30,33,37,38,43,58,59,63 Regarding neuromuscular blocking agents, only one study reported the use of paralytic beyond induction,71 which may potentially confound observed signals.

Technical Variations in coMEP Methodology

Technical practices varied widely, from electrode placement, to electrode type, to stimulation parameters. Stimulating electrodes on the scalp were placed hemispherically (50/72 studies) more than interhemispherically (14/72 studies), with the cathode at Cz and the anode at C3 (left) or C4 (right). Placement was not specified in 8 studies. For studies of the facial nerve specifically, electrode placement was mostly hemispheric (85.3%, 35/41), with 4 studies using interhemispheric placement (9.8%), 1 study using both (2.4%), and 1 study which did not report stimulating montage (2.4%). In studies of the facial nerve, corkscrew electrodes were used most often for stimulation (75.6%, 31/41), with several studies using subdermal needles (9.8%, 4/41), one study using PEG electrodes (2.4%), and 4 studies in which stimulating electrode choice was not reported (9.8%) (Figure 7A). Orbicularis oris and orbicularis oculi were the most commonly selected muscles for monitoring of the facial nerve (Figure 7B).

FIGURE 7.

FIGURE 7.

Specifics of facial nerve stimulation and recording. A, Characteristics of stimulating electrodes and stimulation montage configurations used for facial nerve monitoring across included studies. B, Distribution of facial muscles monitored to assess facial nerve function, shown relative to the total number of muscles recorded simultaneously. Only studies that explicitly specified the recorded muscles were included in this analysis. N/A, not applicable.

For the facial nerve, stimulation was fixed 41.5% (17/41) of the time, variable 53.7% (22/41) of the time, and not reported in 2 studies (4.9%). Reported pulse width ranged from 50 to 500 microseconds, and train lengths varied from 1 to 8 pulses, with 5 pulses being most common (Figure 8A). The stimulation paradigm applied constant voltage in 41/72 studies, and constant current in 23/72 studies overall, and for studies of just the facial nerve, constant voltage was used in 26/41 and constant current in 12/41. The choice of constant current or constant voltage stimulation varied by equipment used (Figure 8B). Inomed (Inomed Inc.) and Nihon Kohden (Nihon Kohden Corporation) equipment were associated with constant current protocols; Cadwell (Cadwell Industries, Inc.), Natus, and Nicolet (Natus Medical Incorporated) equipment were associated with constant voltage; and Axon (Axon Systems) and Medtronic (Medtronic) used both paradigms.

FIGURE 8.

FIGURE 8.

Technical features of facial nerve monitoring. A, Distribution of pulse durations reported across studies and the stimulation parameters used. B, Monitoring equipment used for facial nerve monitoring, stratified by stimulation mode (constant current vs constant voltage). Equipment was grouped by manufacturer, with subsidiaries consolidated under the parent company. C, Proportion of studies using double train stimulation during facial nerve monitoring, along with the distribution of reported intertrain timing intervals.

Artifact detection as a metric of coMEP reliability also varied in practice. Single pulse response was the most common metric of false-negative direct transmission of calvarial electrical stimulation to the peripheral muscles instead of through brain neural pathways. Peripheral response was noted in two-thirds (65.9%, 27/41) of studies of facial nerve monitoring and one-third of studies (31.3%, 5/16) assessing lower CN coMEPs. Strikingly, the method of delivering and measuring the peripheral single pulse response also varied widely across the facial nerve literature, with a double train delivered in only 34.1% (14/41) of studies (not delivered in 24.4% and not reported in 41.5%), and the timing of pulse delivery ranging from 40 ms before to 90 ms after the primary train (Figure 8C). Latency also functioned as a metric of artifact detection, with shorter latencies (<10 ms) being attributed to activation of the facial nerve by extracranial current spread, and was used in another 12.2% of studies (5/41).

DISCUSSION

Corticobulbar MEPs are rapidly broadening in adoption, from their original application for facial nerve monitoring during vestibular schwannoma surgery. However, widespread adoption remains limited by significant variation in methodology and inconsistent correlation with outcome. We present an in-depth review of operative uses, limitations, and opportunities for improvement.

Practice patterns in coMEP monitoring technique varied in almost every detail. This included the type and number of muscles monitored, electrode type and placement, stimulus parameters, and artifact detection techniques. Unsurprisingly, these methodological variations contribute to heterogeneity in results achieved. Less than half of facial nerve studies quantified monitoring accuracy, and those that did showed wide discrepancies due to technical differences. Peripheral response artifacts, typically assessed through the presence or absence of a single pulse response, were inconsistently captured in addition to being delivered and measured in different ways. Latency was also used as an alternative method to identify artifacts of extracranial stimulation. Most of the facial nerve studies used hemispheric scalp electrode placement, which has been demonstrated to be more reliable for CN VII responses. In comparison, studies examining vagal coMEPs favor interhemispheric stimulation over hemispheric stimulation.34,61 Notably, the choice between constant current and constant voltage stimulation depended on the equipment used, although this did not seem to affect outcomes.

Variability in sensitivity and specificity of different muscles further complicates the reliability of coMEP data.13,40,47 Previous studies have contended that orbicularis oris recording tends to be more reliable than orbicularis oculi because of reduced susceptibility to peripheral artifact, although we did not find that to be substantiated in our aggregate data.13,40,47 Moreover, in our review, only 65.9% of facial nerve studies and 31.3% of lower CN studies used single pulse responses to control for peripheral stimulation. Susceptibility to artifact could be mitigated by monitoring multiple muscle groups, which is uncommon across practices because most of the studies focused on facial nerve coMEPs monitored only one (24.4%) or 2 (31.7%) muscles. Monitoring more muscles on a regular basis could improve coMEP reliability.

Reporting of clinical follow-up and outcome, whether immediate or delayed, was also inconsistent. Nearly a quarter of studies reported no follow-up, and 18% lacked outcome measures, often because of their technical focus. This makes it difficult to interpret the long-term predictive value of coMEPs, as immediate postoperative deficits may not reflect permanent damage. Furthermore, although 90.2% of studies of the facial nerve reported using other monitoring modalities alongside coMEPs, less than a quarter of those studies directly compared coMEPs with alternative techniques, leaving a gap in understanding its relative merits. Future studies including immediate and long-term outcomes may better guide the predictive accuracy of coMEPs and improve clinical decision making.

Despite these methodological challenges, coMEPs are associated with improved preservation of facial nerve integrity,60 and prediction of outcome.13 A meta-analysis of stringently selected studies reported sensitivity (0.81) and specificity (0.94) for coMEPs as a measure of facial nerve function in cerebellopontine angle tumor surgery,77 which exceeded the averages found in our review. Importantly, they noted that sensitivity and specificity across studies has improved over time, likely because of refinements in technique. However, some studies suggest that coMEPs may not always influence patient outcomes, despite its accuracy in predicting facial nerve function, potentially due to inconsistencies in how intraoperative data are used by the surgical team.11 Although many studies cite a 50% decrease in amplitude as indicative of potential nerve damage,4,11,39,40,77 there is no consensus on a standardized alert threshold. Establishing clear, evidence-based criteria for intraoperative alert will be essential for coMEPs to transition from a purely predictive tool to a preventative one, enabling earlier intervention and potentially improving patient outcomes.

We found that 43% of studies have expanded to include or focus on CNs other than the facial nerve, signaling growing interest in broadening utilization of coMEPs. This trend is reflected in the heterogeneous terminology used to refer to coMEPs, including “PharyngealMEPs”, “facial motor evoked potentials”, and “VagalMEPs”, indicating the diverse ways coMEPs are being applied. In addition to monitoring during tumor resections, coMEPs are increasingly used in MVD for trigeminal neuralgia, hemifacial spasm, and even hemilingual spasm.21,57,69 Nonetheless, the overall number of cases being monitored with coMEPs remains small, with most studies reporting fewer than 100 cases.

coMEP monitoring remains underused in pediatric populations, with only 13.9% of studies including children. Interestingly, a pediatric-specific study found that coMEP thresholds in children were similar to those reported in adults, suggesting that coMEPs can be safely and effectively used in pediatric patients without modification.28 This represents a significant area of potential growth in coMEP application, given the enrichment of posterior fossa and brainstem pathologies in the pediatric population.

Artificial intelligence (AI) is increasingly embedded in medical research and innovation and is well positioned to augment pattern recognition in IONM, while improving access to and standardization of these tools. Emerging studies demonstrate the feasibility of neural network-based MEP detection and the use of AI to identify clinically meaningful signal features that enhance accuracy and reliability, in addition to furthering research in the field.78,79 Continued, iterative integration of AI into signal acquisition, quality control, and interpretation has the potential to strengthen performance and accelerate broader adoption of advanced IONM platforms.

We have summarized our findings of the most commonly used approaches and techniques, as well as our recommendations for optimal performance of coMEP monitoring in Table 2. In an effort to increase transparency and consistency, we have created a recommended reporting checklist for future coMEP studies to facilitate standardized high quality data reporting in future publications (Table 3). Continuing to aggregate and analyze our collective experience with this technique is critical to increasing implementation and reliability.

TABLE 2.

Summary of Current Practices and Recommendations for coMEP Monitoring by CN

Topic Reported in the literature Most commonly reported Recommendation
Anesthetic used TIVA/mixed anesthetic TIVA TIVA
CNs monitored V, VII, IX, X, XI, XII VII and X V, VII, IX, X, XI, XII
Muscles monitored V: Masseter
VII: Oculi, nasalis, oris, and mentalis
IX: Stylopharyngeus/soft palate
X: Vocalis and cricothyroid
XI: Trapezius
XII: Tongue
V: Masseter
VII: Oris and mentalis (most common), variable across studies
IX: Stylopharyngeus/soft palate
X: Vocalis
XII: Tongue
V: Masseter and Temporalis
VII: Frontalis, oculi, nasalis, oris, and mentalis
IX: Stylopharyngeus/soft palate
X: Vocalis/cricothyroid if recording endotracheal tube contraindicated (eg, MRI cases)
XI: Trapezius
XII: Tongue
Monitorability V, VII, IX, X, XI and XII VII, X, and XII V, VII, IX, X, XI, and XII
Stimulating montage Interhemispheric
Hemispheric
VII: Hemispheric
X: Interhemispheric
XII: Hemispheric
Hemispheric for all CNs, with option of interhemispheric when monitoring CN X and CN XI
Stimulation parameters (fixed vs variable) Fixed and variable No consensus Variable
Pulse width of stimulation Constant current: 300-500
Constant voltage: 50-75
Constant current: 500
Constant voltage: 50-75
Constant current: 300-500
Constant voltage: 75
Stimulating electrodes Corkscrews
Subdermal needles
Peg electrode
Corkscrews Corkscrews or subdermal needles
Recording electrodes Subdermal needles noninsulated or insulated Noninsulated electrodes (likely due to availability of insulated electrodes) Insulated (noninsulated electrodes were used in most studies, however use of insulated recording electrodes has been shown to improve signal quality and reliability7,80)
Equipment used (constant current vs constant voltage) Constant current: Inomed and Nihon Kohden
Constant voltage: Cadwell, Natus, and Nicolet
Both: Axon and Medtronic
Dependent on equipment available coMEP monitoring is possible with both CC or CV, however technique must be adjusted to accommodate system's abilities
Timing of double train, if applied Ranging from 40 ms before stimulating train to 90 ms after stimulating train No consensus At least 90 ms after stimulating train to allow for neural recovery from prior stimulation6,81
Alert criteria used and method of signal change (decrease in amplitude vs increase in stimulation threshold) Amplitude decrease or stimulation threshold increase Most commonly 50% decrease in amplitude >50% decrease in amplitude indicating possible weakness
>70% decrease in amplitude indicating severe weakness
100% loss of signal indicates paralysis
Timing of outcome assessment Immediate or “delayed” No consensus Posttreatment: immediate, 1-2 wk, 2-3 mo, 6 mo, 1 y
Follow-up duration No consensus No consensus At least 1 y

CC, constant current; CN, cranial nerve; CV, constant voltage; coMEPs, corticobulbar motor evoked potentials; TIVA, total intravenous anesthetic approach.

TABLE 3.

Recommended Reporting Checklist for Future Publications

Recommended reporting checklist
Anesthetic used
Cranial nerve(s) monitored
Muscles monitored
Type of stimulating electrode used, including insulation (yes/no)
Stimulating montage used
Monitorability rate
Equipment used (constant current vs constant voltage)
Stimulation parameters used (fixed vs variable)
Pulse width of stimulation used
Single pulse artifact testing (application of a double train)
Timing of double train, if applied
Alert criteria used and method of signal change measurement (decrease in amplitude vs increase in stimulation threshold)
Clinical outcome
Timing of outcome assessment
Follow-up duration

Limitations

Our study has several limitations, primarily due to the inherent constraints of systematic reviews. Variability in study design, reporting practices, and data quality made direct comparisons difficult. Although we aimed to capture the full scope of coMEP applications, many studies lacked detailed follow-up or quantitative data. Owing to the heterogeneity in the data, we have reported median values and interquartile ranges to reflect observed ranges and distributions. These values do not constitute pooled estimates. Nearly all studies were retrospective in design. Given the lack of prospective data, conclusions regarding impact on outcomes remains limited.

CONCLUSION

coMEP monitoring offers significant potential to improve the continuous monitoring of CN pathways during surgery. Refinement of techniques is needed to achieve improved accuracy and reliability, standardized alert criteria, and enhanced consistency for artifact detection. The field would benefit from standardization of methodologies and more consistent clinical outcome reporting to encourage increased utilization and fully realize the potential of coMEPs in neurosurgery.

Acknowledgments

Author contributions: Project conceptualization: WLB, MT, MB; Data collection: WLB, CAJ, MT, MB, RVP, JTM; Data analysis: CAJ; Visualization: RVP, JW, MT, CAJ; Manuscript composition: CAJ; Manuscript review and editing: WLB, CAJ, MT, MB, RVP, JTM; Project supervision: WLB; Project administration: WLB, CAJ.

Footnotes

Presented as an oral presentation in the New England Neurosurgical Society Annual Meeting, New England Neurosurgical Society in Chatham, MA from June 27-29, 2024.

Presented as a poster presentation in the NASBS 34th Annual Meeting and 9th World Congress of the World Federation of Skull Base Societies Meeting, NASBS in New Orleans, LA from February 13-16, 2025.

Contributor Information

Casey A. Jarvis, Email: cjarvis2@bwh.harvard.edu.

Matthew Toczylowski, Email: matthew.toczylowski@specialtycare.net.

Mitali Bose, Email: mitali.bose@specialtycare.net.

Ruchit V. Patel, Email: rpatel80@bwh.harvard.edu.

Julia Wang, Email: jgwang@bu.edu.

James Tanner McMahon, Email: jtmcmahon@bwh.harvard.edu.

Funding

This study did not receive any funding or financial support.

Disclosures

The authors have no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article.

REFERENCES

  • 1.Fernandez-Conejero I. Corticobulbar motor evoked potentials in skull base surgery. In: Deletis V, Shils JL, Sala F, Seidel K, editors. Neurophysiology in Neurosurgery, 2 ed. El Sevier; 2020; chap 10. [Google Scholar]
  • 2.Amano M, Kohno M, Nagata O, Taniguchi M, Sora S, Sato H. Intraoperative continuous monitoring of evoked facial nerve electromyograms in acoustic neuroma surgery. Acta Neurochir (Wien). 2011;153(5):1059-1067; discussion 1067. [DOI] [PubMed] [Google Scholar]
  • 3.Akagami R, Dong CC, Westerberg BD. Localized transcranial electrical motor evoked potentials for monitoring cranial nerves in cranial base surgery. Neurosurgery. 2005;57(1 Suppl):78-85; discussion 78-85. [DOI] [PubMed] [Google Scholar]
  • 4.Dong CC, Macdonald DB, Akagami R, et al. Intraoperative facial motor evoked potential monitoring with transcranial electrical stimulation during skull base surgery. Clin Neurophysiol. 2005;116(3):588-596. [DOI] [PubMed] [Google Scholar]
  • 5.Morota N, Ihara S, Deletis V. Intraoperative neurophysiology for surgery in and around the brainstem: role of brainstem mapping and corticobulbar tract motor-evoked potential monitoring. Childs Nerv Syst. 2010;26(4):513-521. [DOI] [PubMed] [Google Scholar]
  • 6.Deletis V, Fernández-Conejero I, Ulkatan S, Rogić M, Carbó EL, Hiltzik D. Methodology for intra-operative recording of the corticobulbar motor evoked potentials from cricothyroid muscles. Clin Neurophysiol. 2011;122(9):1883-1889. [DOI] [PubMed] [Google Scholar]
  • 7.Fernández-Conejero I, Ulkatan S, Sen C, Miró Lladó J, Deletis V. Intraoperative monitoring of facial corticobulbar motor evoked potentials: methodological improvement and analysis of 100 patients. Clin Neurophysiol. 2022;142:228-235. [DOI] [PubMed] [Google Scholar]
  • 8.Rogić Vidaković M, Schönwald MZ, Rotim K, et al. Excitability of contralateral and ipsilateral projections of corticobulbar pathways recorded as corticobulbar motor evoked potentials of the cricothyroid muscles. Clin Neurophysiol. 2015;126(8):1570-1577. [DOI] [PubMed] [Google Scholar]
  • 9.Kim DG, Jo SR, Youn M, et al. Corticobulbar motor evoked potentials from tongue muscles used as a control in cervical spinal surgery. Clin Neurophysiol Pract. 2017;2:124-129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bovo N, Momjian S, Gondar R, Bijlenga P, Schaller K, Boëx C. Sensitivity and negative predictive value of motor evoked potentials of the facial nerve. J Neurol Surg A Cent Eur Neurosurg. 2021;82(4):317-324. [DOI] [PubMed] [Google Scholar]
  • 11.Tawfik KO, Walters ZA, Kohlberg GD, et al. Impact of motor-evoked potential monitoring on facial nerve outcomes after vestibular schwannoma resection. Ann Otol Rhinol Laryngol. 2019;128(1):56-61. [DOI] [PubMed] [Google Scholar]
  • 12.Téllez MJ, Mirallave-Pescador A, Seidel K, et al. Neurophysiological monitoring of the laryngeal adductor reflex during cerebellar-pontine angle and brainstem surgery. Clin Neurophysiol. 2021;132(2):622-631. [DOI] [PubMed] [Google Scholar]
  • 13.Della Pepa GM, Stifano V, D'Alessandris QG, et al. Intraoperative corticobulbar motor evoked potential in cerebellopontine angle surgery: a clinically meaningful tool to predict early and late facial nerve recovery. Neurosurgery. 2022;91(3):406-413. [DOI] [PubMed] [Google Scholar]
  • 14.Zhang M, Zhou Q, Zhang L, Jiang Y. Facial corticobulbar motor-evoked potential monitoring during the clipping of large and giant aneurysms of the anterior circulation. J Clin Neurosci. 2013;20(6):873-878. [DOI] [PubMed] [Google Scholar]
  • 15.Wilkinson MF, Kaufmann AM. Facial motor neuron excitability in hemifacial spasm: a facial MEP study. Can J Neurol Sci. 2014;41(2):239-245. [DOI] [PubMed] [Google Scholar]
  • 16.Hiruta R, Sato T, Itakura T, et al. Intraoperative transcranial facial motor evoked potential monitoring in surgery of cerebellopontine angle tumors predicts early and late postoperative facial nerve function. Clin Neurophysiol. 2021;132(4):864-871. [DOI] [PubMed] [Google Scholar]
  • 17.Greve T, Wang L, Thon N, Schichor C, Tonn JC, Szelényi A. Prognostic value of a bilateral motor threshold criterion for facial corticobulbar MEP monitoring during cerebellopontine angle tumor resection. J Clin Monit Comput. 2020;34(6):1331-1341. [DOI] [PubMed] [Google Scholar]
  • 18.Tokimura H, Sugata S, Yamahata H, Yunoue S, Hanaya R, Arita K. Intraoperative continuous monitoring of facial motor evoked potentials in acoustic neuroma surgery. Neurosurg Rev. 2014;37(4):669-676. [DOI] [PubMed] [Google Scholar]
  • 19.Ling M, Tao X, Ma S, et al. Predictive value of intraoperative facial motor evoked potentials in vestibular schwannoma surgery under 2 anesthesia protocols. World Neurosurg. 2018;111:e267-e276. [DOI] [PubMed] [Google Scholar]
  • 20.Fernández-Conejero I, Ulkatan S, Sen C, Deletis V. Intra-operative neurophysiology during microvascular decompression for hemifacial spasm. Clin Neurophysiol. 2012;123(1):78-83. [DOI] [PubMed] [Google Scholar]
  • 21.Fukuda M, Oishi M, Hiraishi T, Fujii Y. Facial nerve motor-evoked potential monitoring during microvascular decompression for hemifacial spasm. J Neurol Neurosurg Psychiatry. 2010;81(5):519-523. [DOI] [PubMed] [Google Scholar]
  • 22.Fukuda M, Takao T, Hiraishi T, Yajima N, Saito A, Fujii Y. Pharyngeal motor evoked potential monitoring during skull base surgery predicts postoperative recovery from swallowing dysfunction. World Neurosurg. 2015;84:555-560. [DOI] [PubMed] [Google Scholar]
  • 23.Ichino T, Tanaka S, Tanaka R, et al. Transcranial motor-evoked potentials of laryngeal muscles for intraoperative neuromonitoring of the vagus nerve during thyroid surgery. J Anesth. 2019;33(2):221-229. [DOI] [PubMed] [Google Scholar]
  • 24.Wilkinson MF, Chowdhury T, Mutch WA, Kaufmann AM. Analysis of facial motor evoked potentials for assessing a central mechanism in hemifacial spasm. J Neurosurg. 2017;126(2):379-385. [DOI] [PubMed] [Google Scholar]
  • 25.Ito E, Ichikawa M, Itakura T, et al. Motor evoked potential monitoring of the vagus nerve with transcranial electrical stimulation during skull base surgeries. J Neurosurg. 2013;118(1):195-201. [DOI] [PubMed] [Google Scholar]
  • 26.Matthies C, Raslan F, Schweitzer T, Hagen R, Roosen K, Reiners K. Facial motor evoked potentials in cerebellopontine angle surgery: technique, pitfalls and predictive value. Clin Neurol Neurosurg. 2011;113(10):872-879. [DOI] [PubMed] [Google Scholar]
  • 27.Song H, Ma C, Xu D, Yu M, Feng J, Sun L. Prognostic value of transcranial facial nerve motor-evoked potentials in predicting facial nerve function following cerebellopontine angle tumorectomy. Medicine (Baltimore). 2018;97(40):e12576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Bozinov O, Grotzer MA, Sarnthein J. Intraoperative monitoring of facial nerve motor-evoked potentials in children. World Neurosurg. 2015;84:786-794. [DOI] [PubMed] [Google Scholar]
  • 29.Sarnthein J, Albisser C, Regli L. Transcranial electrical stimulation elicits short and long latency responses in the tongue muscles. Clin Neurophysiol. 2022;138:148-152. [DOI] [PubMed] [Google Scholar]
  • 30.Martucci C, Madafferi S, Crocoli A, et al. Intraoperative neuromonitoring for thyroid surgery in children and adolescents: a single center experience. Children (Basel). 2022;9(12):1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bhimrao SK, Le TN, Dong CC, et al. Role of facial nerve motor-evoked potential ratio in predicting facial nerve function in vestibular schwannoma surgery both immediate and at 1 year. Otol Neurotol. 2016;37(8):1162-1167. [DOI] [PubMed] [Google Scholar]
  • 32.Slotty PJ, Abdulazim A, Kodama K, et al. Intraoperative neurophysiological monitoring during resection of infratentorial lesions: the surgeon's view. J Neurosurg. 2017;126(1):281-288. [DOI] [PubMed] [Google Scholar]
  • 33.İlgezdi-Kaya İ, Ilgaz-Aydınlar E, Yalınay-Dikmen P, Sarı R, Elmacı İ. Intraoperative recording of laryngeal adductor reflex and cortical motor evoked potentials during jugular foramen schwannoma surgery: a case report and literature review. J Clin Monit Comput. 2022;36(6):1585-1590. [DOI] [PubMed] [Google Scholar]
  • 34.Tanaka A, Uemura H, Takatani T, Kawaguchi M, Hayashi H, Kitahara T. Intraoperative transcranial motor-evoked potential monitoring during head and neck surgeries: a case of cervical vagus nerve schwannoma with laryngeal paralysis. Cureus. 2022;14(10):e30526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Fukuda M, Takao T, Hiraishi T, Yajima N, Saito A, Fujii Y. Novel devices for intraoperative monitoring of glossopharyngeal and vagus nerves during skull base surgery. Surg Neurol Int. 2013;4:97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Greve T, Wang L, Katzendobler S, et al. Bilateral and optimistic warning paradigms improve the predictive power of intraoperative facial motor evoked potentials during vestibular schwannoma surgery. Cancers (Basel). 2021;13(24):6196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.D'Alessandris QG, Menna G, Stifano V, et al. A study on the role of intraoperative corticobulbar motor evoked potentials for improving safety of cerebellopontine angle surgery in elderly patients. Diagnostics (Basel). 2023;13(4):710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Verst SM, Sucena AC, Maldaun MV, Aguiar PH. Effectiveness of C5 or C6-Cz assembly in predicting immediate post operative facial nerve deficit. Acta Neurochir (Wien). 2013;155(10):1863-1869. [DOI] [PubMed] [Google Scholar]
  • 39.Fukuda M, Oishi M, Hiraishi T, Saito A, Fujii Y. Intraoperative facial nerve motor evoked potential monitoring during skull base surgery predicts long-term facial nerve function outcomes. Neurol Res. 2011;33(6):578-582. [DOI] [PubMed] [Google Scholar]
  • 40.Acioly MA, Gharabaghi A, Liebsch M, Carvalho CH, Aguiar PH, Tatagiba M. Quantitative parameters of facial motor evoked potential during vestibular schwannoma surgery predict postoperative facial nerve function. Acta Neurochir (Wien). 2011;153(6):1169-1179. [DOI] [PubMed] [Google Scholar]
  • 41.Goto T, Muraoka H, Kodama K, Hara Y, Yako T, Hongo K. Intraoperative monitoring of motor evoked potential for the facial nerve using a cranial peg-screw electrode and a “threshold-level” stimulation method. Skull Base. 2010;20(6):429-434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Deletis V, Fernandez-Conejero I, Ulkatan S, Costantino P. Methodology for intraoperatively eliciting motor evoked potentials in the vocal muscles by electrical stimulation of the corticobulbar tract. Clin Neurophysiol. 2009;120(2):336-341. [DOI] [PubMed] [Google Scholar]
  • 43.Hendriks T, Kunst HPM, Huppelschoten M, Doorduin J, Ter Laan M. TcMEP threshold change is superior to A-train detection when predicting facial nerve outcome in CPA tumour surgery. Acta Neurochir (Wien). 2020;162(5):1197-1203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Fukuda M, Oishi M, Takao T, Saito A, Fujii Y. Facial nerve motor-evoked potential monitoring during skull base surgery predicts facial nerve outcome. J Neurol Neurosurg Psychiatry. 2008;79(9):1066-1070. [DOI] [PubMed] [Google Scholar]
  • 45.Aydinlar EI, Kocak M, Soykam HO, et al. Intraoperative neuromonitoring of blink reflex during posterior fossa surgeries and its correlation with clinical outcome. J Clin Neurophysiol. 2022;39(4):299-306. [DOI] [PubMed] [Google Scholar]
  • 46.Liu BY, Tian YJ, Liu W, et al. Intraoperative facial motor evoked potentials monitoring with transcranial electrical stimulation for preservation of facial nerve function in patients with large acoustic neuroma. Chin Med J (Engl). 2007;120(4):323-325. [PubMed] [Google Scholar]
  • 47.Acioly MA, Liebsch M, Carvalho CH, Gharabaghi A, Tatagiba M. Transcranial electrocortical stimulation to monitor the facial nerve motor function during cerebellopontine angle surgery. Neurosurgery. 2010;66(6 Suppl Operative):354-362; discussion 362. [DOI] [PubMed] [Google Scholar]
  • 48.Sarnthein J, Tomilov M, Baag M, Regli L. Improving intraoperative evoked potentials at short latency by a novel neuro-stimulation technology with delayed return discharge. Clin Neurophysiol. 2021;132(6):1195-1199. [DOI] [PubMed] [Google Scholar]
  • 49.Motoyama Y, Nakagawa I, Takatani T, et al. Microvascular decompression for glossopharyngeal neuralgia using intraoperative neurophysiological monitoring: technical case report. Surg Neurol Int. 2016;7(Suppl 2):S28-S35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Wilkinson MF, Kaufmann AM. Monitoring of facial muscle motor evoked potentials during microvascular decompression for hemifacial spasm: evidence of changes in motor neuron excitability. J Neurosurg. 2005;103(1):64-69. [DOI] [PubMed] [Google Scholar]
  • 51.Kullmann M, Tatagiba M, Liebsch M, Feigl GC. Evaluation of the predictive value of intraoperative changes in motor-evoked potentials of caudal cranial nerves for the postoperative functional outcome. World Neurosurg. 2016;95:329-334. [DOI] [PubMed] [Google Scholar]
  • 52.Liu SW, Jiang W, Zhang HQ, et al. Intraoperative neuromonitoring for removal of large vestibular schwannoma: facial nerve outcome and predictive factors. Clin Neurol Neurosurg. 2015;133:83-89. [DOI] [PubMed] [Google Scholar]
  • 53.Chen LP, Wang MR, Wang R, et al. Utility of dual monitoring of the lower cranial nerve motor-evoked potentials threshold level criterion to predict swallowing function in skull base and brainstem surgery. J Clin Neurophysiol. 2023;40(4):355-363. [DOI] [PubMed] [Google Scholar]
  • 54.Hsu PC, Yang TF, Hsu SPC, et al. Blink synkinesis monitoring during microvascular decompression for hemifacial spasm. J Chin Med Assoc. 2019;82(6):519-523. [DOI] [PubMed] [Google Scholar]
  • 55.Sarnthein J, Hejrati N, Neidert MC, Huber AM, Krayenbühl N. Facial nerve motor evoked potentials during skull base surgery to monitor facial nerve function using the threshold-level method. Neurosurg Focus. 2013;34(3):e7. [DOI] [PubMed] [Google Scholar]
  • 56.Verst SM, Chung TM, Sucena AC, Maldaun MV, Aguiar PH. Comparison between the C5 or C6-Cz electrode assembly and C3 or C4-Cz assembly for transcranial electric motor activation of muscular response of the contralateral facial nerve. Acta Neurochir (Wien). 2012;154(12):2229-2235. [DOI] [PubMed] [Google Scholar]
  • 57.Fukuda M, Takao T, Hiraishi T, Fujii Y. Free-running EMG monitoring during microvascular decompression for hemifacial spasm. Acta Neurochir (Wien). 2015;157(9):1505-1512. [DOI] [PubMed] [Google Scholar]
  • 58.Bonda D, Silverstein JW, Katz J, Ellis JA, Boockvar J, D'Amico R. Asleep speech mapping using orofacial muscles as surrogates for motor speech in patients who cannot tolerate awake surgery: a case series. Cureus. 2021;13(6):e15861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Dalvandi M, Rafie AN, Kamali A, Jamshidifard A. Evaluation of the prognostic value of multimodal intraoperative monitoring in posterior fossa surgery patients with cerebellopontine angle tumors. Eur J Transl Myol. 2018;28(1):7260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Xu X, Liang H, Zhang X, Ma L, Zhao C, Sun L. Intraoperative neurophysiological monitoring to protect the facial nerve during microsurgery for large vestibular schwannomas. Neuro Endocrinol Lett. 2017;38(2):91-97. [PubMed] [Google Scholar]
  • 61.Pavoni V, Gianesello L, Martinelli C, et al. Recovery of laryngeal nerve function with sugammadex after rocuronium-induced profound neuromuscular block. J Clin Anesth. 2016;33:14-19. [DOI] [PubMed] [Google Scholar]
  • 62.Ramamani Mariappan IS, Joseph BV, Krothapalli SB. Upper lip swelling—an uncommon and avoidable complication following cerebellopontine angle tumor excision requiring transcranial facial motor-evoked potential monitoring. J Neuroanaesthesiol Crit Care. 2021;9(1):60-61. [Google Scholar]
  • 63.Smolanka VI, Smolanka AV, Sechko OS, Herasymenko OS. Continuous dynamic mapping of cranial nerve pathways and long tracts inside the brainstem: useful technique of intraoperative neurophysiological monitoring. Int J Biol Biomed Eng. 2021;15:334-341. [Google Scholar]
  • 64.Hardian RF, Goto T, Fujii Y, Kanaya K, Horiuchi T, Hongo K. Intraoperative facial motor evoked potential monitoring for pontine cavernous malformation resection. J Neurosurg. 2020;132(1):265-271. [DOI] [PubMed] [Google Scholar]
  • 65.Matsuoka R, Takeshima Y, Hayashi H, et al. Feasibility of adjunct facial motor evoked potential monitoring to reduce the number of false-positive results during cervical spine surgery. J Neurosurg Spine. 2020;32(4):570-577. [DOI] [PubMed] [Google Scholar]
  • 66.Romagna A, Rachinger W, Schwartz C, et al. Endotracheal tube electrodes to assess vocal cord motor function during surgery in the cerebellopontine angle. Neurosurgery. 2015;77(3):471-478; discussion 478. [DOI] [PubMed] [Google Scholar]
  • 67.Fukuda M, Oishi M, Hiraishi T, Saito A, Fujii Y. Pharyngeal motor evoked potentials elicited by transcranial electrical stimulation for intraoperative monitoring during skull base surgery. J Neurosurg. 2012;116(3):605-610. [DOI] [PubMed] [Google Scholar]
  • 68.Cosetti MK, Xu M, Rivera A, et al. Intraoperative transcranial motor-evoked potential monitoring of the facial nerve during cerebellopontine angle tumor resection. J Neurol Surg B Skull Base. 2012;73(5):308-315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Osburn LL, Møller AR, Bhatt JR, Cohen-Gadol AA. Hemilingual spasm: defining a new entity, its electrophysiological correlates and surgical treatment through microvascular decompression. Neurosurgery. 2010;67(1):192-196; discussion 196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Kim SY, Im HW, Choi YD, et al. Intraoperative monitoring of hypoglossal nerve using hypoglossal motor evoked potential in infratentorial tumor surgery: a report of two cases. Ann Rehabil Med. 2018;42(2):352-357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Sun S, Tian FB, Huang SQ, Zhang J, Liang WM. Different effects of tetanic stimulation of facial nerve and ulnar nerve on transcranial electrical stimulation motor-evoked potentials. Int J Clin Exp Med. 2014;7(3):622-630. [PMC free article] [PubMed] [Google Scholar]
  • 72.Taşkıran E, Küçükyürük B. Intraoperative neurophysiology practice in the surgical treatment of posterior fossa lesions: cerrahpaşa experience. Istanbul Med J. 2020;21(5):344-349. [Google Scholar]
  • 73.Kojima A, Saga I, Fukumura M. Intraoperative neuromonitoring of hypoglossal nerves using transcranial and direct electrical stimulation during extracranial internal carotid artery surgery. World Neurosurg. 2023;172:e701-e707. [DOI] [PubMed] [Google Scholar]
  • 74.Della Pepa GM, Fraschetti F, Domenico MD, et al. Predictive value of intraoperative vagus nerve corticobulbar motor evoked potentials to assess the risk of dysphagia in fourth ventricle surgery. J Neurosurg. 2024;140(6):1540-1548. [DOI] [PubMed] [Google Scholar]
  • 75.Lapteva K, Gavrjushin A, Pitskhelauri D, et al. Intraoperative neurophysiologic monitoring in predicting dysphagia after brainstem and fourth ventricle surgery. World Neurosurg. 2023;180:e334-e340. [DOI] [PubMed] [Google Scholar]
  • 76.Legatt AD, Emerson RG, Epstein CM, et al. ACNS guideline: transcranial electrical stimulation motor evoked potential monitoring. J Clin Neurophysiol. 2016;33(1):42-50. [DOI] [PubMed] [Google Scholar]
  • 77.Pan SY, Holdefer RN, Wu HL, Li CR, Guo L. The predictive value of intraoperative facial motor evoked potentials in cerebellopontine angle tumor surgery. Clin Neurophysiol. 2024;166:176-190. [DOI] [PubMed] [Google Scholar]
  • 78.Osuagwu B, Huang H, McNicol EL, Roy VAL, Vučkovič A. Artificial neural network based automatic detection of motor evoked potentials. Intell Med. 2025;12:100295. [Google Scholar]
  • 79.Parduzi Q, Wermelinger J, Koller SD, et al. Explainable AI for intraoperative motor-evoked potential muscle classification in neurosurgery: bicentric retrospective study. J Med Internet Res. 2025;27:e63937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Fernández-Conejero I, Deletis V. Transcranial electrical stimulation and monitoring. J Neurosurg. 2014;120(1):291-292. [DOI] [PubMed] [Google Scholar]
  • 81.Ulkatan S, Deletis V, Fernandez-Conejero I. Central or peripheral activations of the facial nerve? J Neurosurg. 2007;106(3):519-520. [DOI] [PubMed] [Google Scholar]

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