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本文引用的文献

1
Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy.颅内电极记录的癫痫患者大于 200Hz 的发作间期振荡的定位。
Brain. 2010 Jan;133(Pt 1):33-45. doi: 10.1093/brain/awp277. Epub 2009 Nov 17.
2
Partial seizures are associated with early increases in signal complexity.部分性发作与信号复杂度的早期增加有关。
Clin Neurophysiol. 2010 Jan;121(1):7-13. doi: 10.1016/j.clinph.2009.09.018. Epub 2009 Nov 11.
3
Pharmaco-resistant seizures: self-triggering capacity, scale-free properties and predictability?耐药性癫痫发作:自触发能力、无标度特性和可预测性?
Eur J Neurosci. 2009 Oct;30(8):1554-8. doi: 10.1111/j.1460-9568.2009.06923.x. Epub 2009 Oct 12.
4
Making sense of nonsense GABA(A) receptor mutations associated with genetic epilepsies.解读与遗传性癫痫相关的无意义GABA(A)受体突变
Trends Mol Med. 2009 Sep;15(9):430-8. doi: 10.1016/j.molmed.2009.07.003. Epub 2009 Aug 31.
5
A decrease in EEG energy accompanies anti-epileptic drug taper during intracranial monitoring.在颅内监测期间,随着抗癫痫药物逐渐减量,脑电图能量会降低。
Epilepsy Res. 2009 Oct;86(2-3):153-62. doi: 10.1016/j.eplepsyres.2009.06.002. Epub 2009 Jul 24.
6
Synchronization phenomena in human epileptic brain networks.人类癫痫脑网络中的同步现象。
J Neurosci Methods. 2009 Sep 30;183(1):42-8. doi: 10.1016/j.jneumeth.2009.05.015. Epub 2009 May 28.
7
Localization-related epilepsy exhibits significant connectivity away from the seizure-onset area.与定位相关的癫痫在远离癫痫发作起始区的区域表现出显著的连接性。
Neuroreport. 2009 Jun 17;20(9):891-5. doi: 10.1097/WNR.0b013e32832c78e0.
8
Complex brain networks: graph theoretical analysis of structural and functional systems.复杂脑网络:结构与功能系统的图论分析
Nat Rev Neurosci. 2009 Mar;10(3):186-98. doi: 10.1038/nrn2575. Epub 2009 Feb 4.
9
Comparative analysis of temporal dynamics of EEG and phase synchronization of EEG to localize epileptic sites from high density scalp EEG interictal recordings.基于高密度头皮脑电图发作间期记录,对脑电图的时间动态及脑电图与癫痫部位的相位同步性进行比较分析,以定位癫痫部位。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:4548-50. doi: 10.1109/IEMBS.2008.4650224.
10
High-frequency oscillations: what is normal and what is not?高频振荡:何为正常,何为异常?
Epilepsia. 2009 Apr;50(4):598-604. doi: 10.1111/j.1528-1167.2008.01917.x. Epub 2008 Dec 4.

癫痫争议:第四届国际癫痫发作预测研讨会上的辩论。

Controversies in epilepsy: debates held during the Fourth International Workshop on Seizure Prediction.

机构信息

Flint Hills Scientific, L.L.C., Lawrence, KS, USA.

出版信息

Epilepsy Behav. 2010 Sep;19(1):4-16. doi: 10.1016/j.yebeh.2010.06.009. Epub 2010 Aug 13.

DOI:10.1016/j.yebeh.2010.06.009
PMID:20708976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2943379/
Abstract

Debates on six controversial topics were held during the Fourth International Workshop on Seizure Prediction (IWSP4) convened in Kansas City, KS, USA, July 4-7, 2009. The topics were (1) Ictogenesis: Focus versus Network? (2) Spikes and Seizures: Step-relatives or Siblings? (3) Ictogenesis: A Result of Hyposynchrony? (4) Can Focal Seizures Be Caused by Excessive Inhibition? (5) Do High-Frequency Oscillations Provide Relevant Independent Information? (6) Phase Synchronization: Is It Worthwhile as Measured? This article, written by the IWSP4 organizing committee and the debaters, summarizes the arguments presented during the debates.

摘要

在 2009 年 7 月 4 日至 7 日于美国堪萨斯州堪萨斯城举行的第四届癫痫发作预测国际研讨会(IWSP4)上,就六个有争议的主题进行了辩论。这些主题是:(1)癫痫发生:焦点与网络?(2)棘波与癫痫发作:近亲还是兄弟姐妹?(3)癫痫发生:低同步性的结果?(4)局灶性癫痫发作可否由过度抑制引起?(5)高频振荡是否提供相关的独立信息?(6)相位同步:作为衡量标准是否有价值?本文由 IWSP4 组织委员会和辩论者撰写,总结了辩论期间提出的论点。