Related Experiment Video
Updated: Apr 23, 2026

Author Spotlight: Translational Applications of Stimulated SFEMG in Rodent Models
Published on: March 8, 2024
Jitter analysis with concentric needle electrodes in the extensor digitorum communis for the diagnosis of myasthenia
Jianwen Wang1, Fang Ji1, Benyan Luo1
1Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China.
Background:
Single-fiber electromyography is the most sensitive neurophysiological test for the diagnosis of myasthenia gravis (MG), but its use is limited by the potential risk of transmission of infections. Jitter analysis with disposable concentric needle electrodes (CNEs) is therefore being investigated. This pilot study aimed to evaluate jitter analysis with CNEs for the diagnosis of MG.
Methods:
Forty-two healthy Chinese volunteers and 44 MG patients were prospectively enrolled. MG patients were classified according to the Osserman classification, and acetylcholine receptor antibody titer was measured. Jitter analysis with CNEs in the extensor digitorum communis and repetitive nerve stimulation (RNS) testing were performed. Jitter was expressed as the mean consecutive difference (MCD), and 20 action potential pairs were analyzed in each subject. The mean MCD in each subject and the mean individual MCD of all action potential pairs were compared between groups.
Results:
The mean MCD and mean individual MCD were higher in MG patients ((42.3 ± 20.0) µs and (42.2 ± 26.0) µs) than in healthy volunteers ((23.0 ± 3.1) µs and (22.8 ± 7.5) µs). The area under the receiver operating characteristic curve for the mean MCD of MG patients and healthy volunteers combined was 0.85. The mean MCD and mean individual MCD were higher in generalized MG patients ((64.1 ± 18.5) µs and (63.6 ± 30.0) µs) than in ocular MG patients ((33.1 ± 12.0) µs and (33.2 ± 17.6) µs), and were higher in MG patients with abnormal RNS results ((57.2 ± 18.3) µs and (57.3 ± 29.2) µs) than in MG patients with normal RNS results ((32.9 ± 14.8) µs and (32.7 ± 18.3) µs). Abnormal RNS results were observed in 38.60% (17/44) of MG patients and abnormal jitter were observed in 72.70% (32/44) of MG patients.
Conclusion:
Jitter analysis with CNEs is feasible for the diagnosis of MG.
Related Concept Videos
Myasthenia Gravis: Diagnostic Tests
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
Myasthenia Gravis: Overview and Treatment
These antibodies interfere with the function of the nicotinic receptors in three ways: by binding to the receptor and disrupting acetylcholine binding; by causing cross-linking of receptors which...
Myasthenia Gravis ll: Pathophysiology
Disorders of the Skeletal Muscle
Musculoskeletal disorders
Musculoskeletal disorders involve injuries and conditions affecting the skeletal muscles and associated connective tissues. These disorders can arise from acute biomechanical stresses or chronic overuse and can occur across different age groups. Common injuries include sprains, fractures, and muscular strains, often resulting from...

