语言功能障碍是神经群体认知衰退的主要特征
Victoria M Leavitt1, Leila Simani2, Afshin Borhani Haghighi3,4
1Cognitive Neuroscience Division, Department of Neurology, Columbia University Irving Medical Center, 630 West 168th Street, P&S Box 16, New York, NY, 10032, USA. VL2337@cumc.columbia.edu.
Journal of neural transmission (Vienna, Austria : 1996)
|September 6, 2025
概括
通常被忽视的细微语言缺陷可能导致神经系统疾病如阿尔茨海默病,中风,多发性硬化和帕金森病的认知衰退. 早期检测和人工智能工具是改善临床护理的关键.
科学领域:
- 神经科学
- 神经学
- 语言学
背景情况:
- 认知能力下降在神经疾病中很普遍,经常影响语言功能.
- 发现单词的困难是常见的,但接受性语言缺陷 (理解) 往往是微妙的和未被认可的.
- 轻微或阴险的语言障碍可能是神经退行性疾病认知衰退的关键驱动因素.
研究的目的:
- 在阿尔茨海默病 (AD),中风,多发性硬化症 (MS) 和帕金森病 (PD) 中审查神经基质和语言缺陷的临床表现.
- 探索语言功能障碍导致不同神经群体认知能力下降的假设.
- 突出新兴机器学习 (ML) 和人工智能 (AI) 工具在语音测量中的作用.
主要方法:
- 专注于阿尔茨海默病,中风,多发性硬化和病理障碍的文献综述.
- 与语言缺陷相关的神经解剖基质和网络的分析.
- 讨论当前的临床观察和语言分析新兴的技术工具.
主要成果:
- 尽管病因各异,但阿尔茨海默病,中风,多发性硬化和病理障碍的人群表现出显著的语言功能障碍.
- 这些缺陷背后的神经解剖学基质和网络被描述为每个条件.
- 新兴的ML/AI工具对客观的语音和语言评估具有前景.
结论:
- 语言功能障碍是多种神经疾病中突出的,但往往未被充分研究的特征.
- 在这些人群中,语言缺陷可能成为更广泛的认知衰退的关键驱动因素.
- 需要进一步的研究和先进的工具来改善语言障碍的临床识别和管理.
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