Literature DB >> 24680316

Is ictal cognitive dysfunction predictable?

Ivan Osorio1.   

Abstract

OBJECTIVE: Accurate prediction of electrographic seizure onset may reduce injuries and improve quality of life in pharmaco-resistant epileptics. However, because sub-clinical, far out-number clinical seizures, indiscriminate issuance of warnings may have a paralyzing effect on these patients. This study investigates the predictability of ictal cognitive dysfunction.
METHODS: Latency and percentage of correct responses to a reaction time test triggered by automated seizure detections were compared to those obtained inter-ictally in 14 subjects undergoing surgery evaluation. Since accurate prediction of seizures is elusive, early detection was used, as it indirectly but reliably investigates for the existence of a cognitive pre-ictal state.
RESULTS: Significant differences between ictal and inter-ictal cognitive performance were not uncovered until late into the temporal evolution of "focal" seizures.
CONCLUSIONS: These observations suggest that cognitive dysfunction is unpredictable in seizures originating from discrete cortical regions, as the transition into unawareness seems abrupt. SIGNIFICANCE: Prediction of electrographic seizure onsets with worthwhile accuracy would likely result in large numbers of daily warnings, the great majority for sub-clinical seizures. This outcome would considerably increase, without safety justification, patients' psychological burden inherent to each forecast, thus further diminishing quality of life.
Copyright © 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Clinical; Cognitive; Ictal; Inter-ictal; Pre-ictal; Prediction; Quality of life; Seizures; Sub-clinical; Warning

Mesh:

Year:  2014        PMID: 24680316     DOI: 10.1016/j.clinph.2014.02.022

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  1 in total

1.  A case report of several intraoperative convulsions while using the Narcotrend monitor: Significance and predictive use.

Authors:  Joana Berger-Estilita; Katharina Steck; Christian Vetter; Kathleen Seidel; Vladimir Krejci; Darren Hight; Heiko Kaiser
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

  1 in total

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