Neuroimaging predictors of structural epilepsy in the COVID-19 catamnesis

Q4 Medicine
N. E. Maslov, N. V. Yuryeva, E. I. Khamtsova, A. A. Litvinova
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引用次数: 0

Abstract

Respiratory system pathology is the most common clinical disorder associated with COVID-19. However, there are also lesions of the immune, cardiovascular, genitourinary, endocrine systems, and digestive tract. In addition, there are numerous reports on infection-related neurological manifestations, which can be divided into 3 groups: central nervous system manifestations (headache and dizziness, stroke, encephalopathy, encephalitis, acute myelitis), lesions of the peripheral nervous system (anosmia, Guillain–Barre syndrome), secondary lesions in the skeletal muscles. Brain damage that occurs during novel coronavirus infection and determines some of the above-mentioned manifestations often account for the development of structural epilepsies. Only a few scarce review articles on neuroimaging features in patients with COVID-19 have been found in Russian research publications.The objective of the review was to collect, analyze and summarize the results of brain magnetic resonance imaging (MRI), currently accumulated worldwide in patients with COVID-19. We present the most common diagnoses based on brain MRI in patients with COVID-19 established by foreign researchers from March 2020 to March 2021, as well as initial attempts to interpret the pathophysiological mechanisms of the changes observed in the brain substance.
COVID-19突变中结构性癫痫的神经影像学预测因素
呼吸系统病理是与COVID-19相关的最常见的临床疾病。然而,也有免疫、心血管、泌尿生殖系统、内分泌系统和消化道的病变。此外,关于感染相关的神经系统表现也有大量报道,可分为3组:中枢神经系统表现(头痛头晕、中风、脑病、脑炎、急性脊髓炎)、周围神经系统病变(嗅觉丧失、格林-巴利综合征)、骨骼肌继发病变。在新型冠状病毒感染期间发生的脑损伤决定了上述一些表现,通常是导致结构性癫痫的原因。在俄罗斯的研究出版物中,只发现了几篇关于COVID-19患者神经影像学特征的稀缺评论文章。该综述的目的是收集、分析和总结目前在全球积累的COVID-19患者的脑磁共振成像(MRI)结果。我们报告了国外研究人员在2020年3月至2021年3月期间建立的COVID-19患者中基于脑MRI的最常见诊断,并初步尝试解释脑物质变化的病理生理机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epilepsy and Paroxysmal Conditions
Epilepsy and Paroxysmal Conditions Medicine-Neurology (clinical)
CiteScore
0.90
自引率
0.00%
发文量
31
审稿时长
8 weeks
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