Literature DB >> 9663799

Hungarian multicentre epidemiologic study of the warning and initial symptoms (prodrome, aura) of epileptic seizures.

P Rajna1, B Clemens, E Csibri, E Dobos, A Geregely, M Gottschal, I György, A Horváth, F Horváth, L Mezöfi, I Velkey, J Veres, E Wagner.   

Abstract

We carried out a Hungarian multicentre study to assess the frequency of the occurrence of warning symptoms preceding epileptic seizure. The data of 562 patients with epilepsy out of a total of 1124 were analysed on the basis of questionnaires filled in under standard conditions. About 50% of the patients experienced warning symptoms before a smaller or greater part of their seizures. Their appearance was fairly consistent and became mainly manifested in the form of headache, epigastric sensation and dysphoria. In relation to epileptological basic data, it was found that warning symptoms appeared primarily in focal epilepsies and among them they mainly preceded generalized tonic clonic and complex partial seizures. Between the warning symptom and the onset of the seizure there was usually a longer interval during which (and generally also during the warning symptom) the patient remained able to act. About 20% of the patients enrolled in the study tried to inhibit the onset or mitigate the course of the seizure and about 10% judged their spontaneous activity carried out in that direction to be successful. The frequency of the occurrence of independent prognostic symptoms not followed by a seizure was relatively low, and among epileptics with warning symptoms the incidence of seizures occurring without a preceding event was not high either. Based on our experiences, we have drawn the conclusion that, in a significant part of epileptic patients, the warning symptoms render possible the supplementation of the therapy by the development of seizure-inhibiting or seizure-avoiding behaviour or activity.

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Year:  1997        PMID: 9663799     DOI: 10.1016/s1059-1311(97)80035-0

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  9 in total

1.  Seizure prediction: methods.

Authors:  Paul R Carney; Stephen Myers; James D Geyer
Journal:  Epilepsy Behav       Date:  2011-12       Impact factor: 2.937

2.  Modeling seizure self-prediction: an e-diary study.

Authors:  Sheryl R Haut; Charles B Hall; Thomas Borkowski; Howard Tennen; Richard B Lipton
Journal:  Epilepsia       Date:  2013-09-20       Impact factor: 5.864

3.  GABAA Receptor Activity Suppresses the Transition from Inter-ictal to Ictal Epileptiform Discharges in Juvenile Mouse Hippocampus.

Authors:  Yan-Yan Chang; Xin-Wei Gong; Hai-Qing Gong; Pei-Ji Liang; Pu-Ming Zhang; Qin-Chi Lu
Journal:  Neurosci Bull       Date:  2018-08-20       Impact factor: 5.203

4.  Seizure prediction in patients with focal hippocampal epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2017-05-12       Impact factor: 3.708

Review 5.  Toward new paradigms of seizure detection.

Authors:  Devin K Binder; Sheryl R Haut
Journal:  Epilepsy Behav       Date:  2012-12-12       Impact factor: 2.937

6.  Early follow-up data from seizure diaries can be used to predict subsequent seizures in same cohort by borrowing strength across participants.

Authors:  Charles B Hall; Richard B Lipton; Howard Tennen; Sheryl R Haut
Journal:  Epilepsy Behav       Date:  2009-01-10       Impact factor: 2.937

7.  Remote Assessment of Disease and Relapse in Epilepsy: Protocol for a Multicenter Prospective Cohort Study.

Authors:  Elisa Bruno; Andrea Biondi; Sebastian Böttcher; Gergely Vértes; Richard Dobson; Amos Folarin; Yatharth Ranjan; Zulqarnain Rashid; Nikolay Manyakov; Aki Rintala; Inez Myin-Germeys; Sara Simblett; Til Wykes; Amanda Stoneman; Ann Little; Sarah Thorpe; Simon Lees; Andreas Schulze-Bonhage; Mark Richardson
Journal:  JMIR Res Protoc       Date:  2020-12-16

8.  Weak self-supervised learning for seizure forecasting: a feasibility study.

Authors:  Yikai Yang; Nhan Duy Truong; Jason K Eshraghian; Armin Nikpour; Omid Kavehei
Journal:  R Soc Open Sci       Date:  2022-08-03       Impact factor: 3.653

Review 9.  Neural stimulation systems for the control of refractory epilepsy: a review.

Authors:  Matthew D Bigelow; Abbas Z Kouzani
Journal:  J Neuroeng Rehabil       Date:  2019-10-29       Impact factor: 4.262

  9 in total

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