Video-EEG monitoring in adults.
The routine EEG study may prove inadequate in selected patients with recurrent and unprovoked seizures. Video-EEG monitoring is an important diagnostic innovation that may be used to confirm the diagnosis of a seizure disorder and classify seizure type. The methodologies and clinical applications of video-EEG monitoring are reviewed. Long-term EEG recordings may be performed as an outpatient or in an epilepsy monitoring unit. Potential techniques for video-EEG monitoring include prolonged conventional routine EEG, ambulatory EEG, and computer-assisted EEG recordings. Periictal SPECT studies performed during long-term EEG recordings in the epilepsy monitoring unit may increase the diagnostic yield of a presurgical evaluation. Video-EEG monitoring is essential for surgical localization in patients with intractable partial epilepsy being considered for a focal cortical resection. The studies may also be necessary to confirm the presence of nonepileptical clinical episodes.
Cascino
Gregory D
GD
Mayo Clinic and Mayo Foundation, Rochester, Minnesota 55905, USA. gcascino@mayo.edu
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001921:Brain / Q000000981:diagnostic imaging / Q000601:surgery; D002540:Cerebral Cortex / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000601:surgery; D003936:Diagnosis, Computer-Assisted; D004569:Electroencephalography / Q000379:methods / Q000706:statistics & numerical data*; D004828:Epilepsies, Partial / Q000145:classification / Q000175:diagnosis / Q000601:surgery; D004827:Epilepsy / Q000145:classification* / Q000175:diagnosis* / Q000601:surgery; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D018670:Monitoring, Ambulatory / Q000379:methods; D008991:Monitoring, Physiologic / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods / Q000706:statistics & numerical data; D014743:Videotape Recording / Q000379:methods* / Q000706:statistics & numerical data