Is Video-Oculography a Predictive Test for Myasthenia Gravis with Ocular Symptoms?

Sirin T. C. , Karaaslan Z., Arkali B., Bekdik P., Akinci T., Candan F., ...More

Neurology India, vol.70, no.1, pp.80-86, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 70 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.4103/0028-3886.336330
  • Journal Name: Neurology India
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, CINAHL, EMBASE, MEDLINE, Veterinary Science Database
  • Page Numbers: pp.80-86
  • Keywords: Eye movements, myasthenia gravis, neuromuscular junction, ocular myasthenia, video-oculography
  • Bursa Uludag University Affiliated: Yes


© 2022 Neurology India, Neurological Society of India.Background and Objective: The aim of this study was to evaluate the contribution of extraocular muscle function testing with video-oculography (VOG), which is a noninvasive and easily applicable method of recording eye movement with digital cameras, to the diagnosis of myasthenia gravis (MG) in patients without any clinical eye movement abnormalities. Methods and Materials: The study included 18 patients prediagnosed with ocular MG: MG Group (N = 7) with abnormal, and non-MG Group (N = 11) with normal single-fiber electromyography. Control group included 50 healthy volunteers. Ocular movements were recorded with the EyeSeeCam VOG device. Results: The inward latency of the 10° horizontal saccade and the downward latency of the 10° vertical saccade were significantly delayed; and the downward amplitude of the 10° vertical saccade was significantly lower in the MG group. Receiver operating characteristic curve analyses showed high specificity values for the discrimination of MG patients. Conclusions: This study supports the usefulness of the VOG device in revealing subclinical extraocular muscle involvement in MG.