The first international collaborative workshop on seizure prediction: summary and data description

被引:93
作者
Lehnertz, K
Litt, B
机构
[1] Univ Bonn, Dept Epileptol, D-53105 Bonn, Germany
[2] Hosp Univ Penn, Dept Neurol, Philadelphia, PA 19104 USA
[3] Hosp Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA
关键词
D O I
10.1016/j.clinph.2004.08.020
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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. (c) 2004 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:493 / 505
页数:13
相关论文
共 35 条
[1]   Testing the null hypothesis of the nonexistence of a preseizure state [J].
Andrzejak, RG ;
Mormann, F ;
Kreuz, T ;
Rieke, C ;
Kraskov, A ;
Elger, CE ;
Lehnertz, K .
PHYSICAL REVIEW E, 2003, 67 (01) :4
[2]   A robust method for detecting interdependences: application to intracranially recorded EEG [J].
Arnhold, J ;
Grassberger, P ;
Lehnertz, K ;
Elger, CE .
PHYSICA D-NONLINEAR PHENOMENA, 1999, 134 (04) :419-430
[3]   How well can epileptic seizures be predicted? An evaluation of a nonlinear method [J].
Aschenbrenner-Scheibe, R ;
Maiwald, T ;
Winterhalder, M ;
Voss, HU ;
Timmer, J ;
Schulze-Bonhage, A .
BRAIN, 2003, 126 :2616-2626
[4]   Seizure prediction using scalp electroencephalogram [J].
Drury, I ;
Smith, B ;
Li, DZ ;
Savit, R .
EXPERIMENTAL NEUROLOGY, 2003, 184 :S9-S18
[5]   REGIONAL COHERENCE AND THE TRANSFER OF ICTAL ACTIVITY DURING SEIZURE ONSET IN THE MEDIAL TEMPORAL-LOBE [J].
DUCKROW, RB ;
SPENCER, SS .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1992, 82 (06) :415-422
[6]   Seizure prediction by non-linear time series analysis of brain electrical activity [J].
Elger, CE ;
Lehnertz, K .
EUROPEAN JOURNAL OF NEUROSCIENCE, 1998, 10 (02) :786-789
[7]   ELECTROENCEPHALOGRAPHIC SPIKING ACTIVITY, DRUG LEVELS, AND SEIZURE OCCURRENCE IN EPILEPTIC PATIENTS [J].
GOTMAN, J ;
MARCIANI, MG .
ANNALS OF NEUROLOGY, 1985, 17 (06) :597-603
[8]   INTERICTAL SPIKING INCREASES AFTER SEIZURES BUT DOES NOT AFTER DECREASE IN MEDICATION [J].
GOTMAN, J ;
KOFFLER, DJ .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1989, 72 (01) :7-15
[9]  
IASEMIDIS L D, 1990, Brain Topography, V2, P187, DOI 10.1007/BF01140588
[10]   Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures [J].
Iasemidis, LD ;
Pardalos, P ;
Sackellares, JC ;
Shiau, DS .
JOURNAL OF COMBINATORIAL OPTIMIZATION, 2001, 5 (01) :9-26