Literature DB >> 16246629

Seizure clustering.

Sheryl R Haut1.   

Abstract

Seizure clusters, also known as repetitive or serial seizures, occur commonly in epilepsy. Clustering implies that the occurrence of one seizure may influence the probability of a subsequent seizure; thus, the investigation of the clustering phenomenon yields insights into both specific mechanisms of seizure clustering and more general concepts of seizure occurrence. Seizure clustering has been defined clinically as a number of seizures per unit time and, statistically, as a deviation from a random distribution, or interseizure interval dependence. This review explores the pathophysiology, epidemiology, and clinical implications of clustering, as well as other periodic patterns of seizure occurrence. Risk factors for experiencing clusters and potential precipitants of clustering are also addressed.

Entities:  

Mesh:

Year:  2005        PMID: 16246629     DOI: 10.1016/j.yebeh.2005.08.018

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  28 in total

1.  Bursts of seizures in long-term recordings of human focal epilepsy.

Authors:  Philippa J Karoly; Ewan S Nurse; Dean R Freestone; Hoameng Ung; Mark J Cook; Ray Boston
Journal:  Epilepsia       Date:  2017-01-13       Impact factor: 5.864

2.  Patients with seizure clusters--identification of a high-risk group.

Authors:  Paul Garcia
Journal:  Epilepsy Curr       Date:  2009 Jan-Feb       Impact factor: 7.500

3.  Pharmacokinetics of diazepam administered intramuscularly by autoinjector versus rectal gel in healthy subjects: a phase I, randomized, open-label, single-dose, crossover, single-centre study.

Authors:  Michael J Lamson; Diane Sitki-Green; Gerald L Wannarka; Michael Mesa; Paul Andrews; John Pellock
Journal:  Clin Drug Investig       Date:  2011       Impact factor: 2.859

Review 4.  Outpatient pharmacotherapy and modes of administration for acute repetitive and prolonged seizures.

Authors:  Heather Ravvin McKee; Bassel Abou-Khalil
Journal:  CNS Drugs       Date:  2015-01       Impact factor: 5.749

5.  A stochastic framework for evaluating seizure prediction algorithms using hidden Markov models.

Authors:  Stephen Wong; Andrew B Gardner; Abba M Krieger; Brian Litt
Journal:  J Neurophysiol       Date:  2006-10-04       Impact factor: 2.714

Review 6.  Animal models of temporal lobe epilepsy following systemic chemoconvulsant administration.

Authors:  Maxime Lévesque; Massimo Avoli; Christophe Bernard
Journal:  J Neurosci Methods       Date:  2015-03-10       Impact factor: 2.390

7.  Continuous electroencephalographic monitoring with radio-telemetry in a rat model of perinatal hypoxia-ischemia reveals progressive post-stroke epilepsy.

Authors:  Shilpa D Kadam; Andrew M White; Kevin J Staley; F Edward Dudek
Journal:  J Neurosci       Date:  2010-01-06       Impact factor: 6.167

8.  The statistics of a practical seizure warning system.

Authors:  David E Snyder; Javier Echauz; David B Grimes; Brian Litt
Journal:  J Neural Eng       Date:  2008-09-30       Impact factor: 5.379

9.  Seizure Forecasting and the Preictal State in Canine Epilepsy.

Authors:  Yogatheesan Varatharajah; Ravishankar K Iyer; Brent M Berry; Gregory A Worrell; Benjamin H Brinkmann
Journal:  Int J Neural Syst       Date:  2016-06-14       Impact factor: 5.866

Review 10.  Computer modelling of epilepsy.

Authors:  William W Lytton
Journal:  Nat Rev Neurosci       Date:  2008-07-02       Impact factor: 34.870

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