在EEG测量中明显的纵向变化反映了ALS认知表型中的功能网络干扰
Marjorie Metzger1, Stefan Dukic2,3, Roisin McMackin2,4
1Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, University of Dublin, Room 5.43, 152-160 Pearse Street, Dublin 2, D02 R590, Ireland. metzgerm@tcd.ie.
Brain topography
|October 4, 2024
概括
纵向EEG研究揭示了肌缩侧面硬化症 (ALS) 患者具有认知或行为障碍的脑网络明显变化. 这些光谱EEG测量可以追踪疾病的进展,并可以帮助临床试验对ALS进行分层.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 生物医学工程 生物医学工程
背景情况:
- 肌缩侧面硬化症 (ALS) 主要影响运动神经元,但在多达50%的病例中经常涉及认知和行为变化.
- 休息状态脑电图 (EEG) 之前已经在ALS中显示了运动和认知网络功能障碍.
- 这些网络功能障碍的纵向进展,特别是与认知行为变化相关的网络功能障碍,需要进一步调查,以改善ALS护理和治疗评估.
研究的目的:
- 在ALS患者中使用静止状态EEG纵向表征大脑网络变化.
- 研究这些网络变化在ALS表型 (认知障碍,行为障碍,非受损) 中如何不同.
- 为了将纵向网络变化与认知表现,行为变化,运动症状和生存相关联.
主要方法:
- 124名ALS患者接受了128通道静止状态EEG记录.
- 参与者被分为认知障碍 (ALSci),行为障碍 (ALSbi) 或无障碍 (ALSncbi) 组.
- 线性混合效应模型被用来分析大脑网络的纵向变化及其与临床结果的关联.
主要成果:
- 随着时间的推移,在整体ALS组中观察到部区域的频谱功率显著下降,以及前部-部区域的β频谱功率增加.
- 参与ALSncbi的参与者显示,贝塔频段同步性普遍下降.
- ALSci参与者表现出增加的网络共调,与语言流性下降相关. 纵向网络变化是表型特异的,与疾病进展和生存有关.
结论:
- 光谱EEG测量可以纵向跟踪ALS中异常的大脑网络模式.
- 这些发现强调了EEG作为临床试验和ALS个性化治疗策略的分层工具的潜力.
- 纵向EEG分析为ALS非运动症状的进展提供了有价值的见解.
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