Literature DB >> 25638591

Long-term EEG in adults: sleep-deprived EEG (SDE), ambulatory EEG (Amb-EEG) and long-term video-EEG recording (LTVER).

V Michel1, L Mazzola2, M Lemesle3, L Vercueil4.   

Abstract

Long-term EEG in adults includes three modalities: sleep deprived-EEG lasting 1 to 3 hours, 24 hours ambulatory-EEG and continuous prolonged video-EEG lasting from several hours to several days. The main indications of long-term EEG are: syndromic classification of epilepsy; search for interictal discharges when epilepsy is suspected or for the purpose of therapeutic evaluation; positive diagnosis of paroxysmal clinical events; and pre-surgical evaluation of drug-resistant epilepsy. Sleep deprived-EEG and ambulatory-EEG are indicated to detect interictal discharges in order to validate a syndromic classification of epilepsy when standard EEG is negative. These exams can help in evaluating treatment efficacy, especially when clinical evaluation is difficult. Long-term video EEG is indicated for drug-resistant epilepsy, to analyze electro-clinical correlations in a pre-surgical evaluation context, and to refine a positive diagnosis when paroxysmal clinical events are frequent.
Copyright © 2015. Published by Elsevier SAS.

Entities:  

Keywords:  Ambulatory EEG; Classification syndromique; EEG ambulatoire; EEG avec privation de sommeil; Long term video-EEG monitoring; Manifestations cliniques paroxystiques récurrentes; Paroxysmal clinical events; Refractory epilepsy; Sleep deprived-EEG; Syndromic classification; Vidéo-EEG; Épilepsie pharmacorésistante

Mesh:

Year:  2015        PMID: 25638591     DOI: 10.1016/j.neucli.2014.11.004

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  7 in total

1.  Early specialized care after a first unprovoked epileptic seizure.

Authors:  L Fisch; A M Lascano; N Vernaz Hegi; F Girardin; V Kapina; L Heydrich; O Rutschmann; F Sarasin; M I Vargas; F Picard; S Vulliémoz; A C Héritier-Barras; M Seeck
Journal:  J Neurol       Date:  2016-09-07       Impact factor: 4.849

2.  Framework for selecting and benchmarking mobile devices in psychophysiological research.

Authors:  Ian R Kleckner; Mallory J Feldman; Matthew S Goodwin; Karen S Quigley
Journal:  Behav Res Methods       Date:  2021-04

3.  A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings.

Authors:  Gabriella Tamburro; Patrique Fiedler; David Stone; Jens Haueisen; Silvia Comani
Journal:  PeerJ       Date:  2018-02-23       Impact factor: 2.984

4.  An investigation into the diagnostic accuracy, reliability, acceptability and safety of a novel device for Continuous Ambulatory Vestibular Assessment (CAVA).

Authors:  John S Phillips; Jacob L Newman; Stephen J Cox
Journal:  Sci Rep       Date:  2019-07-18       Impact factor: 4.379

5.  Is Brain Dynamics Preserved in the EEG After Automated Artifact Removal? A Validation of the Fingerprint Method and the Automatic Removal of Cardiac Interference Approach Based on Microstate Analysis.

Authors:  Gabriella Tamburro; Pierpaolo Croce; Filippo Zappasodi; Silvia Comani
Journal:  Front Neurosci       Date:  2021-01-12       Impact factor: 4.677

6.  Epilepsy in Five Long-term Survivors of Pineal Region Tumors.

Authors:  Yutaro Takayama; Kazutaka Jin; Shin-Ichiro Osawa; Masaki Iwasaki; Kazushi Ukishiro; Yosuke Kakisaka; Teiji Tominaga; Tetsuya Yamamoto; Nobukazu Nakasato
Journal:  NMC Case Rep J       Date:  2021-11-02

Review 7.  When should we obtain a routine EEG while managing people with epilepsy?

Authors:  Tasneem F Hasan; William O Tatum
Journal:  Epilepsy Behav Rep       Date:  2021-05-03
  7 in total

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