刺激唤起的大脑对自然语言反应的功能连接性在中风后失语症中
Ramtin Mehraram1, Pieter De Clercq1, Jill Kries1
1Experimental Oto-Rhino-Laryngology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Journal of neural engineering
|November 5, 2024
概括
我们发现,通过神经跟踪分析大脑网络活动,发现中风后失语症患者的功能连接发生了变化. 这种方法为评估中风后语言缺陷提供了一个敏感的生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 生物标志物 生物标志物
背景情况:
- ,一种影响三分之一的中风幸存者的语言障碍,需要生态有效的诊断工具.
- 刺激引起的大脑反应是有前途的生物标志物,但它们的生理解释需要改进.
- 在自然语音处理过程中了解中风后失语症的功能性脑网络变化至关重要.
研究的目的:
- 通过使用脑电图来调查与中风后慢性失言症中自然语音处理相关的功能性大脑网络模式.
- 加强对刺激引起的大脑反应的生理学解释,以此作为失言症的潜在生物标志物.
主要方法:
- 在听故事时记录了24名健康对照者和40名失语者的EEG.
- 通过三角波,三角波和低马波段的相互信息来测量神经信封跟踪.
- 评估功能连接,将神经跟踪与EEG时间序列进行比较,测试群体差异,并使用基于网络的统计学和图形理论与语言表现相关联.
主要成果:
- 与原始EEG时间序列相比,神经跟踪产生了更高的功能连接.
- 患有失语症的个体表现出低马波段左半球连接性降低.
- 图形理论揭示了失言症中网络分离和节点强度的增加,三角波段连接与语言表现相关.
结论:
- 将大脑连接学与神经跟踪相结合,为研究中风后失语症的自然语音处理提供了附加价值.
- 这种方法表明对与语言相关的大脑电路的敏感性更高.
- 这些发现支持使用这种方法作为一种信息生物标志物来评估失言症.
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