脆性X综合征静息状态电生理的可靠性

Rui Liu , Ernest V. Pedapati , Lauren M. Schmitt , Rebecca C. Shaffer , Elizabeth G. Smith , Kelli C. Dominick , Lisa A. DeStefano , Grace Westerkamp , Paul Horn , John A. Sweeney , Craig A. Erickson
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引用次数: 0

摘要

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原因。目前,还没有确定的用于预测和监测FXS药物作用的生物标志物,也没有批准的治疗方法。先前的研究已经使用脑电图(EEG)显示了FXS患者和动物模型大脑的电生理变化。这些变化可能受到药物治疗的影响。在这项研究中,我们旨在评估FXS患者静息状态脑电图测量的可靠性,这可能成为药物发现的生物标志物。方法我们收集了35名参与安慰剂对照临床试验的FXS患者(23名男性,12名女性;访视年龄平均+/-std 25.6+/-8.3)的静息状态脑电图数据。使用组内相关性分析对数据的各种频谱特征进行分析,以评估重测的可靠性。脑电图记录之间的间隔从当天测量到间隔六周不等。结果我们的结果显示大多数光谱特征具有较高的可靠性,当天可靠性超过0.8。感兴趣的特征表明,在较长的时间间隔内ICC值为0.60或以上。在这些特征中,阿尔法波段的相对功率表现出最高的可靠性。结论静息状态脑电图可以为FXS患者的大脑活动提供一致且可重复的测量。这支持了脑电图作为评估新药在FXS中作用的客观生物标志物的潜在用途。值得注意的是,从基于功率谱的静息状态脑电图中获得的可靠测量结果使其成为评估小分子药物对FXS影响的一种有前途的工具。
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Reliability of resting-state electrophysiology in fragile X syndrome

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.

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来源期刊
Biomarkers in Neuropsychiatry
Biomarkers in Neuropsychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
7 weeks
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