Literature DB >> 15721063

The First International Collaborative Workshop on Seizure Prediction: summary and data description.

Klaus Lehnertz1, Brian Litt.   

Abstract

The First International Collaborative Workshop on Seizure Prediction was held at the Department of Epileptology, University of Bonn, in Bonn, Germany on April 24-28, 2002. Organized by the Universities of Pennsylvania and Bonn, and funded by grants from the American Epilepsy Society, the German Section of the International League against Epilepsy, and the German Section of the International Federation of Clinical Neurophysiology, the workshop was attended by 51 researchers from 16 centers in seven countries. There were four major goals for the workshop: (1) to host a one-day didactic session on the science of seizure prediction, with lectures by leaders in the field; (2) to assess the current state of the field by applying current methods used to predict seizures to a shared set of continuous intracranial EEG data and discussing the strengths and weaknesses of each approach; (3) to establish a consensus on minimal data requirements, a common nomenclature, and objective methods for comparing system performance across platforms and laboratories for seizure prediction research; and most importantly (4) to establish a multi-laboratory, international working group dedicated to understanding seizure generation and making on-line, prospective seizure prediction a reality. Following the didactic course, each participating group presented their results, after applying their seizure prediction methods to five common data sets agreed upon in advance and distributed before the meeting. What follows is a description of the shared data set used for analysis, a summary of the major discussion points from the workshop, and points of consensus among the group. The brief discussion serves as a common introduction to the research papers that follow in this issue, and the description of the shared data is referenced in each of these papers. Participants in the workshop are listed at the end of the Conclusions section, in alphabetical order.

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Mesh:

Year:  2005        PMID: 15721063     DOI: 10.1016/j.clinph.2004.08.020

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


  21 in total

1.  Neuronal spatiotemporal pattern discrimination: the dynamical evolution of seizures.

Authors:  Steven J Schiff; Tim Sauer; Rohit Kumar; Steven L Weinstein
Journal:  Neuroimage       Date:  2005-09-28       Impact factor: 6.556

2.  Seizure prediction: the Fourth International Workshop.

Authors:  Hitten P Zaveri; Mark G Frei; Susan Arthurs; Ivan Osorio
Journal:  Epilepsy Behav       Date:  2010-08-02       Impact factor: 2.937

Review 3.  Collaborating and sharing data in epilepsy research.

Authors:  Joost B Wagenaar; Gregory A Worrell; Zachary Ives; Matthias Dümpelmann; Dümpelmann Matthias; Brian Litt; Andreas Schulze-Bonhage
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

4.  Seizure Prediction 6: [LINE SEPARATOR]From Mechanisms to Engineered Interventions for Epilepsy.

Authors:  Bruce J Gluckman; Catherine A Schevon
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

Review 5.  Therapeutic devices for epilepsy.

Authors:  Robert S Fisher
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

6.  Continuous energy variation during the seizure cycle: towards an on-line accumulated energy.

Authors:  Rosana Esteller; Javier Echauz; Maryann D'Alessandro; Greg Worrell; Steve Cranstoun; George Vachtsevanos; Brian Litt
Journal:  Clin Neurophysiol       Date:  2005-01-22       Impact factor: 3.708

7.  Microseizures and the spatiotemporal scales of human partial epilepsy.

Authors:  Matt Stead; Mark Bower; Benjamin H Brinkmann; Kendall Lee; W Richard Marsh; Fredric B Meyer; Brian Litt; Jamie Van Gompel; Greg A Worrell
Journal:  Brain       Date:  2010-08-04       Impact factor: 13.501

8.  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

9.  Epilepsy and nonlinear dynamics.

Authors:  Klaus Lehnertz
Journal:  J Biol Phys       Date:  2008-07-09       Impact factor: 1.365

10.  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

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