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从非额叶皮层区域解读语音意图.

Prashanth Ravi Prakash1, Tianhao Lei2, Robert D Flint2

  • 1Departments of Biomedical Engineering, Northwestern University, Chicago, IL 60611, United States of America.

Journal of neural engineering
|January 14, 2025
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概括
此摘要是机器生成的。

研究人员在叶和叶皮层中发现了语音意图信号,扩大了脑机界面 (BMI) 的可能性. 这一发现可能有助于发言障碍患者,包括那些额叶损伤的人.

关键词:
亚法西亚 (aphasia) 是一种失言症.大脑计算机接口 脑计算机接口大脑机器接口 大脑机器接口电皮质谱 (电皮质谱) 是一种电皮质谱.语音意图 语音意图 语音意图演讲制作 演讲制作 演讲制作立体脑电图 (stereoencephalography) 是一种立体脑电图.

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科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 语音科学 语言科学

背景情况:

  • 目前的语音大脑机器接口 (BMIs) 主要解码来自前叶的语音运动皮层的信号.
  • 有限的研究表明,叶和叶叶对BMI的信号具有潜在的有用性.
  • 额叶的损伤可能会导致严重的语音产生缺陷,限制当前的BMI应用.

研究的目的:

  • 调查与语音意图相关的神经信号的存在,时间和位置在皮和皮.
  • 确定这些信号是否与语音产生有关,而不仅仅是感知或理解.
  • 评估这些信号对增强语音BMI的潜力,特别是对于额叶损伤的个体.

主要方法:

  • 利用内记录来捕捉神经活动穿过皮和皮.
  • 采用因果信息分析来区分语音意图与静止状态和其他认知过程 (例如理解,工作记忆).
  • 分析神经信号的空间分布和时间动态,将它们与语音产生联系起来.

主要成果:

  • 通过使用因果信息,成功区分语音意图与静止状态和其他语言相关过程.
  • 识别了与语音意图相关的信息在叶和叶的广泛分布.
  • 显示显著信号的特定区域包括上旋,中叶,角旋和上边旋.

结论:

  • 叶和叶皮层包含与语音生产意图相关的因果解码的神经信息.
  • 这些信息可以在语音发作之前被检测出来,为BMI发展提供了一个新的途径.
  • 研究结果表明,语音BMI可以改进和扩展,包括额叶损伤的患者.