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本文引用的文献

1
Criteria for defining interictal epileptiform discharges in EEG: A clinical validation study.定义脑电图中发作间期癫痫样放电的标准:一项临床验证研究。
Neurology. 2020 May 19;94(20):e2139-e2147. doi: 10.1212/WNL.0000000000009439. Epub 2020 Apr 22.
2
Hippocampal Interictal Spikes during Sleep Impact Long-Term Memory Consolidation.睡眠期海马棘波对长期记忆巩固的影响。
Ann Neurol. 2020 Jun;87(6):976-987. doi: 10.1002/ana.25744. Epub 2020 Apr 24.
3
Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data.发作间期癫痫样放电与人类颅内神经生理学数据质量
Front Hum Neurosci. 2020 Mar 3;14:44. doi: 10.3389/fnhum.2020.00044. eCollection 2020.
4
Antiepileptic drugs are not independently associated with cognitive dysfunction.抗癫痫药物与认知功能障碍并无独立相关性。
Neurology. 2020 Mar 10;94(10):e1051-e1061. doi: 10.1212/WNL.0000000000009061. Epub 2020 Feb 3.
5
Interictal epileptiform discharges vary across age groups.发作间期痫样放电随年龄组而变化。
Clin Neurophysiol. 2020 Jan;131(1):25-33. doi: 10.1016/j.clinph.2019.09.017. Epub 2019 Nov 4.
6
Hippocampal theta codes for distances in semantic and temporal spaces.海马体θ波码对语义和时间空间中的距离进行编码。
Proc Natl Acad Sci U S A. 2019 Nov 26;116(48):24343-24352. doi: 10.1073/pnas.1906729116. Epub 2019 Nov 13.
7
The seizure onset zone drives state-dependent epileptiform activity in susceptible brain regions.致痫区驱动易损脑区的状态相关癫痫样活动。
Clin Neurophysiol. 2019 Sep;130(9):1628-1641. doi: 10.1016/j.clinph.2019.05.032. Epub 2019 Jul 2.
8
Latencies to first interictal epileptiform discharges in different seizure types during video-EEG monitoring.不同发作类型在视频脑电图监测中的首次发作间期痫样放电潜伏期。
Seizure. 2019 Jul;69:235-240. doi: 10.1016/j.seizure.2019.05.013. Epub 2019 May 14.
9
Sleep, oscillations, interictal discharges, and seizures in human focal epilepsy.人类局灶性癫痫中的睡眠、脑电振荡、发作间期放电和癫痫发作。
Neurobiol Dis. 2019 Jul;127:545-553. doi: 10.1016/j.nbd.2019.04.007. Epub 2019 Apr 11.
10
Medial temporal lobe functional connectivity predicts stimulation-induced theta power.内侧颞叶功能连接预测刺激诱导的θ功率。
Nat Commun. 2018 Oct 25;9(1):4437. doi: 10.1038/s41467-018-06876-w.

难治性癫痫患者颅内发作间期癫痫样放电的相关因素。

Factors correlated with intracranial interictal epileptiform discharges in refractory epilepsy.

机构信息

Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.

Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.

出版信息

Epilepsia. 2021 Feb;62(2):481-491. doi: 10.1111/epi.16792. Epub 2020 Dec 17.

DOI:10.1111/epi.16792
PMID:33332586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8312480/
Abstract

OBJECTIVE

This study was undertaken to evaluate the influence that subject-specific factors have on intracranial interictal epileptiform discharge (IED) rates in persons with refractory epilepsy.

METHODS

One hundred fifty subjects with intracranial electrodes performed multiple sessions of a free recall memory task; this standardized task controlled for subject attention levels. We utilized a dominance analysis to rank the importance of subject-specific factors based on their relative influence on IED rates. Linear mixed-effects models were employed to comprehensively examine factors with highly ranked importance.

RESULTS

Antiseizure medication (ASM) status, time of testing, and seizure onset zone (SOZ) location were the highest-ranking factors in terms of their impact on IED rates. The average IED rate of electrodes in SOZs was 34% higher than the average IED rate of electrodes outside of SOZs (non-SOZ; p < .001). However, non-SOZ electrodes had similar IED rates regardless of the subject's SOZ location (p = .99). Subjects on older generation (p < .001) and combined generation (p < .001) ASM regimens had significantly lower IED rates relative to the group taking no ASMs; newer generation ASM regimens demonstrated a nonsignificant association with IED rates (p = .13). Of the ASMs included in this study, the following ASMs were associated with significant reductions in IED rates: levetiracetam (p < .001), carbamazepine (p < .001), lacosamide (p = .03), zonisamide (p = .01), lamotrigine (p = .03), phenytoin (p = .03), and topiramate (p = .01). We observed a nonsignificant association between time of testing and IED rates (morning-afternoon p = .15, morning-evening p = .85, afternoon-evening p = .26).

SIGNIFICANCE

The current study ranks the relative influence that subject-specific factors have on IED rates and highlights the importance of considering certain factors, such as SOZ location and ASM status, when analyzing IEDs for clinical or research purposes.

摘要

目的

本研究旨在评估个体特有的因素对难治性癫痫患者颅内癫痫样放电(IED)率的影响。

方法

150 名接受颅内电极的受试者进行了多次自由回忆记忆任务;该标准化任务控制了受试者的注意力水平。我们利用优势分析根据其对 IED 率的相对影响来对个体特有的因素进行排名。线性混合效应模型用于全面检查具有高排名重要性的因素。

结果

抗癫痫药物(ASM)状态、测试时间和致痫区(SOZ)位置是影响 IED 率的最重要因素。SOZ 内电极的平均 IED 率比 SOZ 外电极(非 SOZ)高 34%(p < 0.001)。然而,非 SOZ 电极的 IED 率与受试者的 SOZ 位置无关(p = 0.99)。服用第一代(p < 0.001)和联合代(p < 0.001)ASM 方案的受试者的 IED 率明显低于未服用 ASM 的组;而新一代 ASM 方案与 IED 率无显著相关性(p = 0.13)。在本研究中包含的 ASM 中,以下 ASM 与 IED 率的显著降低相关:左乙拉西坦(p < 0.001)、卡马西平(p < 0.001)、拉科酰胺(p = 0.03)、唑尼沙胺(p = 0.01)、拉莫三嗪(p = 0.03)、苯妥英钠(p = 0.03)和托吡酯(p = 0.01)。我们观察到测试时间与 IED 率之间无显著相关性(上午-下午 p = 0.15,上午-晚上 p = 0.85,下午-晚上 p = 0.26)。

意义

本研究对个体特有的因素对 IED 率的相对影响进行了排名,并强调了在分析临床或研究目的的 IED 时考虑某些因素(如 SOZ 位置和 ASM 状态)的重要性。