南方医科大学学报

南方医科大学学报 ›› 2023, Vol. 43 ›› Issue (5): 793-799.doi: 10.12122/j.issn.1673-4254.2023.05.15

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听神经瘤伴耳鸣患者的脑电微状态

张 驰，王晓光，丁志伟，周函汶，刘 鹏，薛鑫淼，曹 伟，朱玉华，陈继跃，申卫东，杨仕明，王方园   

  1. 中国人民解放军总医院第一医学中心，北京 100853；中国人民解放军总医院第六医学中心，北京 100048；国家耳鼻咽喉疾病临床医学研究中心，北京 100048；中国人民解放军医学院，北京 100853；中国人民解放军总医院京中医疗区旃坛寺门诊部，北京 100034
  • 出版日期:2023-05-20 发布日期:2023-06-12

Electroencephalographic microstates in vestibular schwannoma patients with tinnitus

ZHANG Chi, WANG Xiaoguang, DING Zhiwei, ZHOU Hanwen, LIU Peng, XUE Xinmiao, CAO Wei, ZHU Yuhua, CHEN Jiyue, SHEN Weidong, YANG Shiming, WANG Fangyuan   

  1. The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China; The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China; National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China; Medical School of Chinese PLA, Beijing 100853, China; ZhanTan Temple Clinic, Beijing Central Medical District, Chinese PLA General Hospital, Beijing 100034, China
  • Online:2023-05-20 Published:2023-06-12

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摘要： 目的 通过脑电微状态这一新颖的脑功能研究方法探寻与听神经瘤患者耳鸣相关的生物标志物。方法 收集41例有效的听神经瘤患者脑电信息及相关临床信息，进行焦虑量表、抑郁量表、耳鸣障碍量表以及视觉模拟量表评估。脑电采集时长为10~15 min，通过MATLAB、EEGLAB等软件包对脑电数据处理后进行微状态分析，对各项参数指标进行统计分析。结果 纳入患者包括听神经瘤无耳鸣患者12例、耳鸣患者29例，两组临床指标差异无统计学意义（P>0.05）。听神经瘤非耳鸣组平均全局解释方差为78.8%，耳鸣组为80.1%。听神经瘤耳鸣患者相较非耳鸣患者微状态C的发生频率增加（P=0.033），覆盖范围增加（P=0.028），THI量表与微状态A的持续时间表现为负相关（R=-0.435，P=0.018），与微状态B的发生频率（R=0.456，P=0.013）和微状态C的发生频率（R=0.412，P=0.026）表现为正相关，语法分析发现微状态C向微状态B的转化概率增加（P=0.031）。结论 听神经瘤耳鸣患者与非耳鸣患者在脑电微状态的时间序列以及语法特征之间存在明显差异，反映了听神经瘤耳鸣患者的神经资源分配在显著网络、听觉网络以及视觉网络之间存在潜在异常，而脑电微状态可以被认为是研究听神经瘤伴耳鸣患者大脑功能网络的有用方法。

关键词: 耳鸣；听神经瘤；脑电；微状态

Abstract: Objective To explore the biomarkers of tinnitus in vestibular schwannoma patients using electroencephalographic (EEG) microstate technology. Methods The EEG and clinical data of 41 patients with vestibular schwannoma were collected. All the patients were evaluated by SAS, SDS, THI and VAS scales. The EEG acquisition time was 10-15 min, and the EEG data were preprocessed and analyzed using MATLAB and EEGLAB software package. Results Of the 41 patients with vestibular schwannoma, 29 patients had tinnitus and 12 did not have tinnitus, and their clinical parameters were comparable. The average global explanation variances of the non-tinnitus and tinnitus groups were 78.8% and 80.1%, respectively. The results of EEG microstate analysis showed that compared with those without tinnitus, the patients with tinnitus had an increased frequency (P=0.033) and contribution (P=0.028) of microstate C. Correlation analysis showed that THI scale scores of the patients were negatively correlated with the duration of microstate A (R=-0.435, P=0.018) and positively with the frequencies of microstate B (R=0.456, P=0.013) and microstate C (R=0.412, P=0.026). Syntax analysis showed that the probability of transition from microstate C to microstate B increased significantly in vestibular schwannoma patients with tinnitus (P=0.031). Conclusion EEG microstate features differ significantly between vestibular schwannoma patients with and without tinnitus. This abnormality in patients with tinnitus may reflect the potential abnormality in the allocation of neural resources and the transition of brain functional activity.

Key words: tinnitus; vestibular schwannoma; electroencephalogram; microstates