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.
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.
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.
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