Electroencephalography biomarkers in Huntington’s disease: A systematic review of resting-state and sleep EEG alterations

IF 3.6 3区医学 Q1 CLINICAL NEUROLOGY

Clinical Neurophysiology Pub Date : 2026-05-01 Epub Date: 2026-02-12 DOI:10.1016/j.clinph.2026.2111701

Sayeh Jalali , Milad Asadollahi , Mahdi Gouravani , Alireza Beikmarzehei , Mojtaba Shahbazi , Kiarash Kazemi , Armin Tafazolimoghadam , Mohammadamin Parsaei , Iman Kiani , Hossein Sanjari Moghaddam , Matthew J. Barrett , Antonio L Teixeira

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引用次数: 0

Abstract

Objective

To systematically review EEG-based biomarkers in Huntington’s disease across resting-state, sleep, medication response, and clinical correlation studies.

Methods

PubMed, Web of Science, and EMBASE databases were systematically searched for studies of sufficient methodological quality that examined EEG alterations in patients with HD or presymptomatic gene carriers (pre-HD).

Results

A total of 23 studies were included and categorized into resting-state EEG (n = 20), sleep EEG (n = 6), medication-related EEG (n = 3), and clinical correlation studies (n = 20). Resting-state EEG commonly showed reduced alpha and delta power in HD patients. Results for theta and beta band powers were more variable. Sleep EEG studies showed reduced theta power. Except for higher spindle density in unmedicated patients in one study, EEG was not significantly influenced by medications. Lastly, greater impairment in cognitive and motor function was associated with reduced alpha and theta power.

Conclusion

The observed alterations in spectral power and sleep EEG are helpful for understanding the neurophysiology of the disease. In order to investigate the potential of EEG as a tool for HD, further research with large sample sizes and standardized methods is needed.

Significance

This review highlights EEG as a promising, non-invasive biomarker for Huntington’s disease, with potential for clinical translation.

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亨廷顿氏病的脑电图生物标志物：静息状态和睡眠脑电图改变的系统回顾。

目的：系统回顾基于脑电图的亨廷顿病生物标志物在静息状态、睡眠、药物反应和临床相关性方面的研究。方法：系统地检索PubMed、Web of Science和EMBASE数据库，寻找具有足够方法学质量的研究，以检查HD患者或症状前基因携带者（pre-HD）的脑电图改变。结果：共纳入23项研究，分为静息状态脑电图（n = 20）、睡眠脑电图（n = 6）、药物相关脑电图（n = 3）和临床相关研究（n = 20）。静息状态脑电图通常显示HD患者α和δ功率降低。θ和β波段功率的结果变化较大。睡眠脑电图研究显示θ波能量降低。除了一项研究中未用药患者的纺锤体密度较高外，脑电图不受药物的显著影响。最后，认知和运动功能的严重损伤与α和θ能量的降低有关。结论：观察到的频谱功率和睡眠脑电图的变化有助于了解该病的神经生理学。为了研究EEG作为HD诊断工具的潜力，需要进一步进行大样本和标准化方法的研究。意义：本综述强调脑电图是一种有前景的、无创的亨廷顿病生物标志物，具有临床转化的潜力。

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

Clinical Neurophysiology 医学-临床神经学

CiteScore

8.70

自引率

6.40%

发文量

932

审稿时长

59 days

期刊介绍： As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.