语音模式和声音强度的编码在腹前中心中
bioRxiv : the preprint server for biology
|June 12, 2025
概括
研究人员从脑部活动中解码了语音大声和语音模式在腹前中心 (vPCG). 这一进步通过捕捉声调细微差别,使语音神经假体更具表现力.
科学领域:
- 神经科学是一个神经科学.
- 语音沟通 语音沟通
- 生物医学工程 生物医学工程
背景情况:
- 人类的语音沟通依赖于不同的语音模式和表达的声音.
- 在神经元发射速率水平上,在腹前中心环 (vPCG) 中语音模式和声音的神经编码仍然未得到充分研究.
研究的目的:
- 通过使用神经元发射率,研究vPCG中语音模式和声音的编码.
- 评估从vPCG活动中解码语音模式和声音强度的可行性.
- 开发和评估一个闭环解码器来调节神经假体中的语音声音.
主要方法:
- 在语音神经假体临床试验中,两名参与者的vPCG中植入了皮层内微电极阵列.
- 在试图模仿,窃窃私语,正常和大声发言时记录了神经元发射率.
- 机器学习算法被用来解码试图的模式/声音和语音内容从神经活动.
- 开发了一个闭环系统,以根据解码的声音来调节语音神经假体输出.
主要成果:
- 在vPCG中,神经元发射率显示出基于尝试语音模式和声音强度的强度调制.
- 语音模式/大声和语音内容在vPCG中的不同神经子空间中得到了表现.
- 试图的模式/声音强度被高精度解码 (94%和89%两个参与者).
- 在语音发作之前的预备性神经活动在几百毫秒前被检测到.
- 一个闭环音量解码器在调节脑到文本语音神经假体方面实现了94%的在线准确性.
结论:
- vPCG在编码语音模式和声音强度方面发挥着至关重要的作用.
- 从vPCG活动中解读语音模式和声音的尝试是可行的,准确度很高.
- 这些发现支持发言神经假体的发展,能够产生更有表现力的发音.
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