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Published on: March 15, 2019
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Quantitative electromyography of the frontalis muscle
Zeliha Matur1, M Barş Baslo, A Emre Öge
1Department of Neurology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey.
Summary
Quantitative analysis of motor unit potentials (MUPs) aids in distinguishing myopathic and neurogenic facial muscle disorders. Outlier analysis using the 5th to 95th percentile proved most effective for differentiating abnormalities from normal findings.
Area of Science:
- Neurology
- Electromyography
- Muscle Physiology
Background:
- Facial muscle motor unit potentials (MUPs) have low amplitude and short duration, complicating the identification of myopathic abnormalities.
- Quantitative measures are crucial for defining abnormality limits in facial muscles, particularly for craniofacial-specific pathologies.
Purpose of the Study:
- To establish quantitative values for differentiating myogenic and neurogenic processes in periocular muscles.
- To assess the effectiveness of various quantitative methods in identifying abnormal MUPs.
Main Methods:
- Multi-motor unit potential (MUP) and interference pattern analyses were performed on the frontalis muscle in normal subjects and patients with myopathy or facial palsy.
- Five methods for calculating abnormality limits were evaluated, including group means and outlier analyses.
- Sensitivity and specificity of MUP and interference pattern parameters were analyzed for discrimination.
Main Results:
- Significant differences in MUP parameters (duration, size index, amplitude) were observed between groups (P < 0.001).
- Motor unit potential duration, size index, and amplitude were key discriminators, though more effective for neuropathies than myopathies.
- Outlier analysis (5th-95th percentile) demonstrated the highest discrimination power for both neuropathies and myopathies compared to normal subjects.
Conclusions:
- Multi-MUP analysis is valuable for differentiating neurogenic facial muscle involvement and, to a lesser extent, myogenic involvement.
- Interference pattern analysis did not offer superior sensitivity compared to MUP analysis.
