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Updated: Feb 16, 2026

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CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method
Published on: June 7, 2018
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Correlations between MUNIX and adapted multiple point stimulation MUNE methods
Karim Benmouna1, Christophe Milants1, François Charles Wang1
1Department of Neurophysiology, CHU Sart Tilman B35, 4000 Liège, Belgium.
Summary
The motor unit number index (MUNIX) and adapted multiple point stimulation (AMPS) technique reliably detect motor unit loss in motoneurone disorders. Both methods showed significant differences between patients with and without motoneurone disease.
Area of Science:
- Neurophysiology
- Neuromuscular disorders
Background:
- Motoneurone disorders (MND) involve progressive loss of motor neurons.
- Accurate assessment of motor unit loss is crucial for diagnosis and monitoring.
- The motor unit number index (MUNIX) and adapted multiple point stimulation (AMPS) are electrophysiological techniques used to evaluate motor units.
Purpose of the Study:
- To evaluate the relationship between the motor unit number index (MUNIX) and the adapted multiple point stimulation (AMPS) technique.
- To assess the utility of MUNIX and AMPS in identifying motor unit loss in patients with suspected motoneurone disorders.
Main Methods:
- Prospective study involving 20 patients with suspected motoneurone disorders.
- Application of MUNIX and AMPS techniques to the thenar muscles.
- Clinical and paraclinical assessment to confirm diagnosis (MND/ALS or no disease).
Main Results:
- Both AMPS and MUNIX values were significantly lower in patients diagnosed with motoneurone disorders (MND) compared to those without.
- A strong, significant positive linear correlation was observed between AMPS and MUNIX values (R=0.83, p<0.01).
- The study included 13 patients with MND (9 with ALS) and 7 patients without neurological disease.
Conclusions:
- Both MUNIX and AMPS serve as reliable markers for documenting motor unit loss.
- The findings support the reliability and clinical utility of the MUNIX technique in assessing neuromuscular conditions.
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