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审查 EEG 异常与 RTT 表型关系的证据,同时借鉴动物研究的见解。

Reviewing Evidence for the Relationship of EEG Abnormalities and RTT Phenotype Paralleled by Insights from Animal Studies.

机构信息

Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, 117485 Moscow, Russia.

Center for Neurocognitive Research (MEG-Center), Moscow University of Psychology and Education, 123290 Moscow, Russia.

出版信息

Int J Mol Sci. 2021 May 18;22(10):5308. doi: 10.3390/ijms22105308.

Abstract

Rett syndrome (RTT) is a rare neurodevelopmental disorder that is usually caused by mutations of the gene. Patients with RTT suffer from severe deficits in motor, perceptual and cognitive domains. Electroencephalogram (EEG) has provided useful information to clinicians and scientists, from the very first descriptions of RTT, and yet no reliable neurophysiological biomarkers related to the pathophysiology of the disorder or symptom severity have been identified to date. To identify consistently observed and potentially informative EEG characteristics of RTT pathophysiology, and ascertain areas most worthy of further systematic investigation, here we review the literature for EEG abnormalities reported in patients with RTT and in its disease models. While pointing to some promising potential EEG biomarkers of RTT, our review identify areas of need to realize the potential of EEG including (1) quantitative investigation of promising clinical-EEG observations in RTT, e.g., shift of mu rhythm frequency and EEG during sleep; (2) closer alignment of approaches between patients with RTT and its animal models to strengthen the translational significance of the work (e.g., EEG measurements and behavioral states); (3) establishment of large-scale consortium research, to provide adequate Ns to investigate age and genotype effects.

摘要

雷特综合征(RTT)是一种罕见的神经发育障碍,通常由 基因突变引起。患有 RTT 的患者在运动、感知和认知领域存在严重缺陷。脑电图(EEG)自 RTT 的最初描述以来,为临床医生和科学家提供了有用的信息,但迄今为止,尚未确定与该疾病的病理生理学或症状严重程度相关的可靠神经生理学生物标志物。为了确定与 RTT 病理生理学一致观察到的和潜在信息丰富的 EEG 特征,并确定最值得进一步系统研究的领域,我们在此回顾了报道的 RTT 患者和疾病模型中的 EEG 异常的文献。虽然指出了一些有希望的潜在 RTT 的 EEG 生物标志物,但我们的综述确定了需要实现 EEG 潜力的领域,包括:(1)对 RTT 中具有临床意义的 EEG 观察结果进行定量研究,例如,mu 节律频率的偏移和睡眠期间的 EEG;(2)在 RTT 患者及其动物模型之间更紧密地调整方法,以加强工作的转化意义(例如,脑电图测量和行为状态);(3)建立大型联盟研究,以提供足够的 N 来研究年龄和基因型的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8279/8157853/d47d05b7162e/ijms-22-05308-g001.jpg

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