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多模态神经影像学:抗癫痫药物反应的潜在生物标志物?

Multimodal neuroimaging: potential biomarkers for response to antiepileptic drugs?

机构信息

Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, SP, Brazil.

出版信息

Epilepsia. 2013 May;54 Suppl 2:67-70. doi: 10.1111/epi.12188.

DOI:10.1111/epi.12188
PMID:23646975
Abstract

Neuroimaging techniques in epilepsy are used widely for definition of the epileptogenic lesion and surgical decision. However, its applications extend to the knowledge of epileptic mechanisms and include the identification of prognostic features that can help our decisions on the appropriate type of treatment on an individual basis. Structural neuroimaging may be able to identify patients more likely to respond to antiepileptic drug (AED) treatment and also patients who are better candidates for earlier surgical treatment. In the past decades, quantitative analyses have also improved our knowledge about epileptogenic lesions and networks as well as the following prognoses: seizure control, cognitive outcome, and comorbidities. New advanced neuroimaging techniques such as functional magnetic resonance imaging (MRI) and the development biotracers that could be associated with inflammation and specific genetic patterns will add further knowledge to the development of epilepsy treatments.

摘要

神经影像学技术在癫痫中的应用广泛,用于确定致痫病灶和手术决策。然而,其应用范围延伸至了解癫痫机制,并包括识别预测特征,这些特征有助于我们根据个体情况做出适当的治疗类型决策。结构性神经影像学可能能够识别更有可能对抗癫痫药物(AED)治疗有反应的患者,以及更适合早期手术治疗的患者。在过去的几十年中,定量分析也提高了我们对致痫病灶和网络的认识,以及以下预后:癫痫发作控制、认知结果和合并症。新的先进神经影像学技术,如功能磁共振成像(MRI)和开发与炎症和特定遗传模式相关的生物示踪剂,将为癫痫治疗的发展提供更多的知识。

相似文献

1
Multimodal neuroimaging: potential biomarkers for response to antiepileptic drugs?多模态神经影像学:抗癫痫药物反应的潜在生物标志物?
Epilepsia. 2013 May;54 Suppl 2:67-70. doi: 10.1111/epi.12188.
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A conceptual framework for the use of neuroimaging to study and predict pharmacoresistance in epilepsy.用于研究和预测癫痫药物抵抗的神经影像学的概念框架。
Epilepsia. 2013 May;54 Suppl 2:75-9. doi: 10.1111/epi.12190.
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Imaging Biomarkers of Anti-Epileptic Drug Action: Insights from Magnetic Resonance Imaging.抗癫痫药物作用的影像学生物标志物:磁共振成像的启示。
Curr Pharm Des. 2017;23(37):5727-5739. doi: 10.2174/1381612823666170809113636.
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Neuroimaging predictors of AED resistance in new-onset epilepsies.新发性癫痫的抗癫痫药物耐药的神经影像学预测因子。
Epilepsia. 2011 Jul;52 Suppl 4:7-9. doi: 10.1111/j.1528-1167.2011.03143.x.
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Current challenges in the treatment of epilepsy.癫痫治疗中的当前挑战。
Neurology. 1994 Jun;44(6 Suppl 5):S4-9; discussion S31-2.
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Outcomes in elderly patients with newly diagnosed and treated epilepsy.新诊断并接受治疗的老年癫痫患者的预后
Int Rev Neurobiol. 2007;81:253-63. doi: 10.1016/S0074-7742(06)81016-0.
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The selection of antiepileptic drugs for the treatment of epilepsy in children and adults.儿童和成人癫痫治疗中抗癫痫药物的选择。
Neurol Clin. 2010 Nov;28(4):843-52. doi: 10.1016/j.ncl.2010.03.026.
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The pharmacological treatment of epilepsy in adults.成人癫痫的药物治疗。
Lancet Neurol. 2011 May;10(5):446-56. doi: 10.1016/S1474-4422(11)70047-3.
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Quantifying the response to antiepileptic drugs: effect of past treatment history.量化对抗癫痫药物的反应:既往治疗史的影响。
Neurology. 2008 Jan 1;70(1):54-65. doi: 10.1212/01.wnl.0000286959.22040.6e.
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Neuroimaging in the evaluation of epilepsy.神经影像学在癫痫评估中的应用。
Semin Neurol. 2012 Sep;32(4):361-73. doi: 10.1055/s-0032-1331809. Epub 2013 Jan 29.

引用本文的文献

1
Convolutional Neural Network Algorithm to Determine Lateralization of Seizure Onset in Patients With Epilepsy: A Proof-of-Principle Study.卷积神经网络算法在癫痫患者发作起源偏侧性判断中的初步研究
Neurology. 2023 Jul 18;101(3):e324-e335. doi: 10.1212/WNL.0000000000207411. Epub 2023 May 18.
2
Macroscale and microcircuit dissociation of focal and generalized human epilepsies.人类局灶性和全身性癫痫的宏观和微电路分离。
Commun Biol. 2020 May 18;3(1):244. doi: 10.1038/s42003-020-0958-5.