Seizures with prolonged EEG abnormalities during an attack of migraine without aura.

Merlino G; Valente M; DAnna S; Gigli GL

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Seizures with prolonged EEG abnormalities during an attack of migraine without aura.

机译：在没有先兆的偏头痛发作期间癫痫发作伴有长时间的脑电图异常。

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The term "migralepsy" indicates a particular condition in which seizures occur during a migraine attack. Several cases of seizures associated with migraine with aura and characterized by transient MRI abnormalities have been published. We report the case of a patient who presented 2 generalized seizures during an attack of migraine without aura and with a transient, diffuse, irregular, high voltage slow activity without clear epileptiform abnormalities in subsequent EEG recordings.

机译：术语“偏头痛”表示在偏头痛发作期间发作的特殊情况。已经发表了几例与偏头痛和先兆有关的癫痫发作，其特征是短暂性MRI异常。我们报道了一名患者的案例，该患者在发作偏头痛的过程中出现2次全身性发作，无先兆，并且在随后的脑电图记录中具有短暂的，弥散的，不规则的，高电压缓慢活动，而没有明显的癫痫样异常。

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《Headache》 |2007年第6期|共4页
作者
Merlino G; Valente M; DAnna S; Gigli GL;
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正文语种 eng
中图分类诊断学;
关键词
Migraine; Attack; Seizures; EEG abnormality; NOS; Nuclear magnetic resonance imaging abnormal;

机译：偏头痛;发作;癫痫发作;脑电图异常;NOS;核磁共振成像异常;

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1. Seizures with prolonged EEG abnormalities during an attack of migraine without aura. [J] . Merlino G, Valente M, DAnna S, Headache . 2007,第6期

机译：在没有先兆的偏头痛发作期间癫痫发作伴有长时间的脑电图异常。
2. PACAP38 induces migraine-like attacks in patients with migraine without aura. [J] . Schytz HW, Birk S, Wienecke T, Brain: A journal of neurology . 2009,第1期

机译：PACAP38在无先兆的偏头痛患者中诱发偏头痛样发作。
3. Angiotensin-converting enzyme gene deletion polymorphism determines an increase in frequency of migraine attacks in patients suffering from migraine without aura. [J] . Paterna S, Di Pasquale-P, DAngelo A, European neurology . 2000,第3期

机译：血管紧张素转换酶基因缺失多态性决定了无先兆偏头痛患者的偏头痛发作频率增加。
4. Seizure Detection on Prolonged-EEG Videos [C] . Yu-Ting Shen, Pau-Choo Chung, Monnique Thonnet, International Symposium on Circuits and Systems . 2008

机译：抓住延长脑电图视频的癫痫发作检测
5. Multi-Feature Analysis of Eeg Signal on Seizure Patterns and Deep Neural Structures for Prediction of Epileptic Seizures [D] . Ma, Xinyuan. 2020

机译：癫痫发作模式和深神经结构对癫痫癫痫发作预测的多种特征分析
6. Absence seizures associated with panic attacks initially misdiagnosed as temporal lobe epilepsy: the importance of prolonged EEG monitoring in diagnosis. [O] . M E McNamara 1993

机译：与惊恐发作有关的失神发作最初被误诊为颞叶癫痫：长期脑电图监测在诊断中的重要性。
7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

机译：EEG信号在EMD域S. S. Shafiul Alam，S中的非线性动力学使用非线性动力学。 M. Shafiul Alam，Aurangozeb和Syed Tarekshahriar摘要 - 基于EMD Chaos的方法，提出了对应于健康人的EEG信号，癫痫发作期间的癫痫患者和Seizureattacks。脑电图（EEG）首先被凭经上分解为内在模式功能（IMF）。这些IMF的非线性动力学在最大范围的指数（LLE）和相关尺寸（CD）方面是量化的。本域中的混沌分析应用于与健康人相对应的大型脑电图（Asepileptic患者）（两者都有癫痫发作）。因此，所获得的LLE和CD表展的价值可以从EMD领域的其他EEG信号中清晰地区分脑电图的表达展示。本拟议的方法可以帮助研究人员以预测癫痫发作的癫痫发作技术。索引术语 - 脑电图（EEG），仿真态分解（EMD），最大的Lyapunov指数（LLE），相关维度（CD），癫痫发作。作者与电气电子和电子工程公司，孟加拉国工程和技术大学，孟加拉国达卡 - 1000（电子邮件：imamul@eee.buet.ac.bd）pdf cite：s. m. shafiul Alam，s。 M. Shafiul Alam，Aurangozeb和Syed Tarek Shahriar，“EEG信号歧视在EMD领域的非线性动态，”计算机电气工程卷国际杂志。 4，不。 3，pp。326-330,2012，上一篇论文对情绪的看法，使用建设性的学习言论下一篇论文物理层障碍意识到OVPN连接选择机制版权所有©2008-2013。国际计算机科学与信息技术协会出版社（IACSIT Press）

Seizures with prolonged EEG abnormalities during an attack of migraine without aura.

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