休息状态EEG和机器学习研究皮质连接性作为慢性mTBI中的生物标志物
William J Marshall1, Amy N Conner1,2, Alexandra P Key3,4
1Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, United States.
Frontiers in neurology
|February 11, 2026
概括
休息状态EEG功能连接 (FC) 可以在受伤数年后识别慢性轻度创伤性脑损伤 (mTBI). 这种客观生物标志物将mTBI与对照区分开来,并与症状严重程度相关联.
科学领域:
- 神经科学是一个神经科学.
- 生物标志物 生物标志物
- 脑损伤研究 脑损伤研究
背景情况:
- 慢性阶段轻度创伤性脑损伤 (mTBI) 诊断缺乏客观生物标志物,依赖主观报告和急性标准.
- 现有的基于血液的标志物主要在急性/次急性阶段有效,在慢性mTBI评估中留下了一个空白.
- 静态EEG (RS-EEG) 显示了通过功能连接 (FC) 和微状态分析检测大规模网络中断的潜力,但其在慢性mTBI中的实用性尚未得到充分探索.
研究的目的:
- 确定RS-EEG特征是否可以将慢性mTBI与健康对照区分开来.
- 调查RS-EEG指标是否预测慢性mTBI中持续症状的严重程度.
- 评估RS-EEG衍生功能连接在慢性mTBI中的诊断和预后价值.
主要方法:
- 一项观察性病例控制研究,涉及44名参与者 (18例慢性mTBI,26例对照).
- 用多变量相互作用测量 (MIM) 来分析光谱功率,微状态指标和功能连接 (FC) 的源重建的RS-EEG数据.
- 机器学习模型 (弹性网,XGBoost) 用于分类和症状预测,在不同的电极组装中测试了功能稳定性.
主要成果:
- 与对照组相比,慢性mTBI参与者在,β,玛和宽带频率上表现出显著升高的FC.
- 在光谱功率或微态度指标上没有观察到群体差异.
- 升高的FC在减少电极安装中很强大,在受伤后持续了8年,并实现了高分类性能 (受伤状态的AUC为0.79-0.89,症状严重程度为0.82-0.87).
结论:
- 休息状态EEG功能连接作为慢性mTBI的敏感,客观的生物标志物,将受伤的个人与对照区分开来.
- 已识别的网络变化是持久的,这表明与慢性症状负担相关的长期大脑变化.
- 来自RS-EEG的FC为诊断慢性mTBI和评估症状严重程度提供了一个非侵入性和可扩展的工具.
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