Suppr超能文献

脆性X综合征静息态电生理学的可靠性

Reliability of resting-state electrophysiology in fragile X syndrome.

作者信息

Liu Rui, Pedapati Ernest V, Schmitt Lauren M, Shaffer Rebecca C, Smith Elizabeth G, Dominick Kelli C, DeStefano Lisa A, Westerkamp Grace, Horn Paul, Sweeney John A, Erickson Craig A

机构信息

Cincinnati Children's Hospital Medical Center, United States.

University of Cincinnati, United States.

出版信息

Biomark Neuropsychiatry. 2023 Dec;9. doi: 10.1016/j.bionps.2023.100070. Epub 2023 Jul 19.

Abstract

OBJECTIVE

Fragile X Syndrome (FXS) is the leading monogenic cause of intellectual disability and autism spectrum disorder. Currently, there are no established biomarkers for predicting and monitoring drug effects in FXS, and no approved therapies are available. Previous studies have shown electrophysiological changes in the brain using electroencephalography (EEG) in individuals with FXS and animal models. These changes may be influenced by drug therapies. In this study, we aimed to assess the reliability of resting-state EEG measures in individuals with FXS, which could potentially serve as a biomarker for drug discovery.

METHODS

We collected resting-state EEG data from 35 individuals with FXS participating in placebo-controlled clinical trials (23 males, 12 females; visit age mean+/-std 25.6 +/-8.3). The data were analyzed for various spectral features using intraclass correlation analysis to evaluate test-retest reliability. The intervals between EEG recordings ranged from same-day measurements to up to six weeks apart.

RESULTS

Our results showed high reliability for most spectral features, with same-day reliability exceeding 0.8. Features of interest demonstrated ICC values of 0.60 or above at longer intervals. Among the features, alpha band relative power exhibited the highest reliability.

CONCLUSION

These findings indicate that resting-state EEG can provide consistent and reproducible measures of brain activity in individuals with FXS. This supports the potential use of EEG as an objective biomarker for evaluating the effects of new drugs in FXS.

SIGNIFICANCE

The reliable measurements obtained from power spectrum-based resting-state EEG make it a promising tool for assessing the impact of small molecule drugs in FXS.

摘要

目的

脆性X综合征(FXS)是导致智力残疾和自闭症谱系障碍的主要单基因病因。目前,尚无用于预测和监测FXS药物疗效的既定生物标志物,也没有获批的治疗方法。先前的研究表明,FXS患者及动物模型的大脑存在脑电图(EEG)检测到的电生理变化。这些变化可能受药物治疗的影响。在本研究中,我们旨在评估FXS患者静息态EEG测量的可靠性,其有可能作为药物研发的生物标志物。

方法

我们收集了35名参与安慰剂对照临床试验的FXS患者的静息态EEG数据(23名男性,12名女性;就诊年龄均值±标准差为25.6±8.3)。使用组内相关分析对数据的各种频谱特征进行分析,以评估重测信度。EEG记录之间的间隔从同日测量到间隔长达六周不等。

结果

我们的结果显示,大多数频谱特征具有高可靠性,同日可靠性超过0.8。在较长间隔时,感兴趣的特征显示组内相关系数(ICC)值为0.60或更高。其中,α波段相对功率的可靠性最高。

结论

这些发现表明,静息态EEG可为FXS患者的大脑活动提供一致且可重复的测量。这支持将EEG作为评估FXS新药疗效的客观生物标志物的潜在用途。

意义

基于功率谱的静息态EEG获得的可靠测量结果使其成为评估小分子药物对FXS影响的有前景的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83b3/11138258/e8978a254458/nihms-1988158-f0004.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验