Spatiotemporal abnormalities in brain networks as a signature of neurological damage in Wilson’s disease

IF 3.4 3区医学 Q1 CLINICAL NEUROLOGY

Clinical Neurophysiology Pub Date : 2026-04-01 Epub Date: 2026-01-29 DOI:10.1016/j.clinph.2026.2111517

Ru-Kai Chen , Jie Lin , Chan Zhang , Wu-Xiang Shi , Yu-Rong Li , Zhuo-Peng Hu , Wan-Jin Chen , Nai-Qing Cai

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引用次数: 0

Abstract

Objectives

Resting-state electroencephalogram (EEG) microstates serve as dynamic markers of intrinsic brain activity, reflecting the transient coordination of large-scale neural networks. However, their role in Wilson’s disease (WD) remains largely unexplored. This study aimed to investigate the spatio-temporal dynamics of EEG microstates in WD and explore their relationship with clinical manifestations.

Methods

Resting-state EEG data were collected from 17 patients with WD and 17 healthy controls (HCs). Microstate parameters were compared between the two groups. Four commonly recognized typical microstate classes (A-D) were calculated.

Results

Microstate analysis results revealed significant differences in the temporal parameters of microstates B, C, and D (p < 0.05) between the HCs and WD patients. Additionally, WD patients exhibited distinct microstate transition patterns (p < 0.05). In the WD cohort, the occurrence and time coverage of microstate B and the transition probability from microstate C to microstate A significantly correlated with the Unified Wilson Disease Rating Scale (UWDRS) scores. The ROC analysis further indicated good discriminative power of these microstate features for differentiating WD patients from HCs.

Conclusions

Abnormal microstate dynamics represent a key aspect of neurological impairments in WD, potentially reflecting underlying functional deficits, thereby enhancing our understanding of WD pathophysiology.

Significance

This study offers a thorough understanding of the spatiotemporal patterns of brain activity interactions in WD patients.

查看原文本刊更多论文

脑网络时空异常作为威尔逊病神经损伤的标志。

目的：静息状态脑电图（EEG）微状态是脑内在活动的动态标记，反映了大规模神经网络的瞬态协调。然而，它们在威尔逊氏病（WD）中的作用在很大程度上仍未被探索。本研究旨在探讨WD患者脑电微态的时空动态变化及其与临床表现的关系。方法：收集17例WD患者和17例健康对照（hc）静息状态EEG数据。比较两组患者的微状态参数。计算了四种公认的典型微状态类别（A-D）。结果：微状态分析结果显示，微状态B、C和D的时间参数存在显著差异(p)。结论：异常的微状态动力学是WD神经损伤的一个关键方面，可能反映了潜在的功能缺陷，从而增强了我们对WD病理生理学的理解。意义：本研究深入了解了WD患者脑活动相互作用的时空模式。

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.