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本文引用的文献

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Conceptual, Regulatory and Strategic Imperatives in the Early Days of EEG-Based Biomarker Validation for Neurodevelopmental Disabilities.基于脑电图的神经发育障碍生物标志物验证早期的概念、监管和战略要务
Front Integr Neurosci. 2019 Aug 21;13:45. doi: 10.3389/fnint.2019.00045. eCollection 2019.
2
Time-Frequency Based Phase-Amplitude Coupling Measure For Neuronal Oscillations.基于时频的神经元振荡的相位-幅度耦合测量。
Sci Rep. 2019 Aug 27;9(1):12441. doi: 10.1038/s41598-019-48870-2.
3
Deletion of Fmr1 from Forebrain Excitatory Neurons Triggers Abnormal Cellular, EEG, and Behavioral Phenotypes in the Auditory Cortex of a Mouse Model of Fragile X Syndrome.从大脑兴奋性神经元中删除 Fmr1 会引发脆性 X 综合征小鼠模型听觉皮层中的异常细胞、EEG 和行为表型。
Cereb Cortex. 2020 Mar 14;30(3):969-988. doi: 10.1093/cercor/bhz141.
4
Electroencephalographic spectral power as a marker of cortical function and disease severity in girls with Rett syndrome.脑电图的频谱功率可作为 Rett 综合征女孩皮质功能和疾病严重程度的标志物。
J Neurodev Disord. 2019 Jul 31;11(1):15. doi: 10.1186/s11689-019-9275-z.
5
32-channel mouse EEG: Visual evoked potentials.32 通道鼠标 EEG:视觉诱发电位。
J Neurosci Methods. 2019 Sep 1;325:108316. doi: 10.1016/j.jneumeth.2019.108316. Epub 2019 Jun 25.
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Tracking Transient Changes in the Neural Frequency Architecture: Harmonic Relationships between Theta and Alpha Peaks Facilitate Cognitive Performance.追踪神经频率结构中的瞬态变化:θ波和α波峰之间的谐波关系有助于认知表现。
J Neurosci. 2019 Aug 7;39(32):6291-6298. doi: 10.1523/JNEUROSCI.2919-18.2019. Epub 2019 Jun 7.
7
Developmental Changes in EEG Phenotypes in a Mouse Model of Fragile X Syndrome.脆性 X 综合征小鼠模型中 EEG 表型的发育变化。
Neuroscience. 2019 Feb 1;398:126-143. doi: 10.1016/j.neuroscience.2018.11.047. Epub 2018 Dec 5.
8
Reusable Multielectrode Array Technique for Electroencephalography in Awake Freely Moving Mice.用于清醒自由活动小鼠脑电图的可重复使用多电极阵列技术
Front Integr Neurosci. 2018 Oct 26;12:53. doi: 10.3389/fnint.2018.00053. eCollection 2018.
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Impaired perceptual learning in a mouse model of Fragile X syndrome is mediated by parvalbumin neuron dysfunction and is reversible.脆性 X 综合征小鼠模型中感觉学习受损是由颗粒蛋白神经元功能障碍介导的,且是可逆转的。
Nat Neurosci. 2018 Oct;21(10):1404-1411. doi: 10.1038/s41593-018-0231-0. Epub 2018 Sep 24.
10
Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study.患有安格曼综合征儿童的异常相干性和睡眠结构:一项回顾性 EEG 研究。
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多电极阵列分析脆性 X 综合征小鼠模型中的 EEG 生物标志物。

Multielectrode array analysis of EEG biomarkers in a mouse model of Fragile X Syndrome.

机构信息

Division of Biomedical Sciences, School of Medicine, University of California, Riverside, United States of America.

Department of Psychology, University of California, Riverside, United States of America.

出版信息

Neurobiol Dis. 2020 May;138:104794. doi: 10.1016/j.nbd.2020.104794. Epub 2020 Feb 6.

DOI:10.1016/j.nbd.2020.104794
PMID:32036032
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9038039/
Abstract

Fragile X Syndrome (FXS) is a leading known genetic cause of intellectual disability with symptoms that include increased anxiety and social and sensory processing deficits. Recent EEG studies in humans with FXS have identified neural oscillation deficits that include increased resting state gamma power, increased amplitude of auditory evoked potentials, and reduced inter-trial phase coherence of sound-evoked gamma oscillations. Identification of comparable EEG biomarkers in mouse models of FXS could facilitate the pre-clinical to clinical therapeutic pipeline. However, while human EEG studies have involved 128-channel scalp EEG acquisition, no mouse studies have been performed with more than three EEG channels. In the current study, we employed a recently developed 30-channel mouse multielectrode array (MEA) system to record and analyze resting and stimulus-evoked EEG signals in WT vs. Fmr1 KO mice. Using this system, we now report robust MEA-derived phenotypes including higher resting EEG power, altered event-related potentials (ERPs) and reduced inter-trial phase coherence to auditory chirp stimuli in Fmr1 KO mice that are remarkably similar to those reported in humans with FXS. We propose that the MEA system can be used for: (i) derivation of higher-level EEG parameters; (ii) EEG biomarkers for drug testing; and (ii) mechanistic studies of FXS pathophysiology.

摘要

脆性 X 综合征 (FXS) 是一种已知的导致智力障碍的主要遗传原因,其症状包括焦虑增加以及社交和感官处理缺陷。最近对 FXS 患者的 EEG 研究发现了神经振荡缺陷,包括静息状态下伽马功率增加、听觉诱发电位幅度增加以及声音诱发伽马振荡的试验间相位相干性降低。在 FXS 的小鼠模型中鉴定出类似的 EEG 生物标志物,可能有助于从临床前到临床的治疗管道。然而,尽管人类 EEG 研究涉及 128 通道头皮 EEG 采集,但没有使用超过三个 EEG 通道的小鼠研究。在本研究中,我们使用最近开发的 30 通道小鼠多电极阵列 (MEA) 系统来记录和分析 WT 与 Fmr1 KO 小鼠的静息和刺激诱发 EEG 信号。使用该系统,我们现在报告了强大的 MEA 衍生表型,包括 Fmr1 KO 小鼠的静息 EEG 功率更高、事件相关电位 (ERP) 改变以及对听觉啁啾刺激的试验间相位相干性降低,这些表型与 FXS 患者报告的表型非常相似。我们提出 MEA 系统可用于:(i) 衍生更高水平的 EEG 参数;(ii) 药物测试的 EEG 生物标志物;以及 (iii) FXS 病理生理学的机制研究。