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Digital electroencephalography and long-term video electroencephalography

The Egyptian Journal of Internal Medicine volume 24, page 4 (2012)Cite this article

Abstract

EEG is the name commonly used for electroencephalography. EEG is an important test for diagnosing epilepsy. Conventional EEG has relatively low sensitivity in epilepsy, ranging between 25–56%. The combination of wake and sleep records gives a yield of 80% in patients with clinically confirmed epilepsy. Video-EEG is most helpful in determining whether seizures with unusual features are actually epilepsy.

References

  1. Fisher RS, Van Emde Boas W, Blume W, Elger C, Genton P, Lee P, et al. Epileptic seizures and epilepsy:definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 2005; 46:470–472.

    Article  PubMed Central  Google Scholar 

  2. Scottish Intercollegiate Guidelines Network (SIGN). Diagnosis and management of epilepsy in adults; Guideline No. 70. Scotland:Scottish Intercollegiate Guidelines Network (SIGN); 2003.

    Google Scholar 

  3. Halász P, Filakovszky J, Vargha A, Bagdy G. Effect of sleep deprivation on spike-wave discharges in idiopathic generalised epilepsy:a 4 × 24 h continuous long term EEG monitoring study. Epilepsy Res 2002; 51:123–132.

    Article  PubMed Central  Google Scholar 

  4. Benbadis SR, Tatum WO. Overintepretation of EEGS and misdiagnosis of epilepsy. J Clin Neurophysiol 2003; 20:42–44.

    Article  PubMed Central  Google Scholar 

  5. Gregory RP, Oates T, Merry RTG. Electroencephalogram epileptiform abnormalities in candidates for aircrew training. Electroencephalogr Clin Neurophysiol 1993; 86:75–77.

    Article  CAS  PubMed Central  Google Scholar 

  6. Zivin L, Marsan CA. Incidence and prognostic significance of ‘epileptiform’ activity in the EEG of non-epileptic subjects. Brain 1968; 91:751–778.

    Article  CAS  PubMed Central  Google Scholar 

  7. Berg AT, Shinnar S. Relapse following discontinuation of antiepileptic drugs:a meta-analysis. Neurology 1994; 44:601–608.

    Article  CAS  PubMed Central  Google Scholar 

  8. Boon P, De Reuck J, Drieghe C, De Bruycker K, Aers I, Pengel J. Long-term video-EEG monitoring revisited:the value of interictal and ictal video-EEG recording, a follow-up study. Eur Neurol 1994; 34 (Suppl 1):33–39.

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Authors and Affiliations

  1. Department of Clinical Neurophysiology, Cairo University, Cairo, Egypt

    Ayat Allah Farouk

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  1. Ayat Allah Farouk
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Correspondence to Ayat Allah Farouk.

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Farouk, A.A. Digital electroencephalography and long-term video electroencephalography. Egypt J Intern Med 24, 4 (2012). https://doi.org/10.7123/01.EJIM.0000415590.13433.52

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  • DOI: https://doi.org/10.7123/01.EJIM.0000415590.13433.52

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