Literature DB >> 11923631

Seizure prediction and the preseizure period.

Brian Litt1, Klaus Lehnertz.   

Abstract

Beginning in the 1970s engineers designed systems to predict epileptic seizures based upon quantitative changes in the electroencephalogram, which they hypothesized began well in advance of clinical seizure onset. These efforts flourished in the 1990s, as independent laboratories demonstrated evidence of a 'preseizure period' up to 20 min prior to clinical symptoms in patients implanted with intracranial electrodes during evaluation for epilepsy surgery. Years later, clinical and laboratory experiments leave little doubt that a preseizure period exists in temporal lobe and perhaps other forms of epilepsy. Its existence, however, raises fundamental questions about what constitutes a seizure, what brain regions are involved in seizure generation, and whether discrete interictal, preictal, ictal and post-ictal physiologies exist, or blend together in a continuous process. Pressing milestones, necessary for clinical utility, are: (1) demonstrating prospective seizure prediction from prolonged human data sets, (2) elucidating mechanisms underlying seizure precursors and (3) implementing these algorithms on implantable hardware platforms. The notion of a preseizure state is catalyzing new clinical and basic science research, which has the potential to dramatically increase our understanding of epilepsy, and to generate exciting new therapies for patients.

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Mesh:

Year:  2002        PMID: 11923631     DOI: 10.1097/00019052-200204000-00008

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  27 in total

Review 1.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

Review 2.  Novel surgical treatments for epilepsy.

Authors:  Guy M McKhann
Journal:  Curr Neurol Neurosci Rep       Date:  2004-07       Impact factor: 5.081

3.  Seizure entrainment with polarizing low-frequency electric fields in a chronic animal epilepsy model.

Authors:  Sridhar Sunderam; Nick Chernyy; Nathalia Peixoto; Jonathan P Mason; Steven L Weinstein; Steven J Schiff; Bruce J Gluckman
Journal:  J Neural Eng       Date:  2009-07-15       Impact factor: 5.379

Review 4.  Role of multiple-scale modeling of epilepsy in seizure forecasting.

Authors:  Levin Kuhlmann; David B Grayden; Fabrice Wendling; Steven J Schiff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

Review 5.  Future of seizure prediction and intervention: closing the loop.

Authors:  Vivek Nagaraj; Steven T Lee; Esther Krook-Magnuson; Ivan Soltesz; Pascal Benquet; Pedro P Irazoqui; Theoden I Netoff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

6.  The roles of sleep-wake states and brain rhythms in epileptic seizure onset.

Authors:  Omar J Ahmed; Sujith Vijayan
Journal:  J Neurosci       Date:  2014-05-28       Impact factor: 6.167

7.  Transition to seizures in the isolated immature mouse hippocampus: a switch from dominant phasic inhibition to dominant phasic excitation.

Authors:  M Derchansky; S S Jahromi; M Mamani; D S Shin; A Sik; P L Carlen
Journal:  J Physiol       Date:  2007-11-08       Impact factor: 5.182

Review 8.  Clinical neurophysiology of epilepsy.

Authors:  Anil Mendiratta
Journal:  Curr Neurol Neurosci Rep       Date:  2003-07       Impact factor: 5.081

9.  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

Review 10.  Toward rational design of electrical stimulation strategies for epilepsy control.

Authors:  Sridhar Sunderam; Bruce Gluckman; Davide Reato; Marom Bikson
Journal:  Epilepsy Behav       Date:  2009-11-17       Impact factor: 2.937

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