通过单个神经元在人类上边缘环中表现内部语言的表现
Sarah K Wandelt1,2, David A Bjånes3,4,5, Kelsie Pejsa3,4
1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. skwandelt@gmail.com.
Nature human behaviour
|May 13, 2024
概括
这项研究表明,内在语音可以从脑部信号中解码至上边缘环 (SMG),为通信的先进脑机界面 (BMI) 铺平了道路. 对于内部语音,实现了高解码精度,对语音丧失的个体显示出希望.
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
- 通信科学 通信科学
背景情况:
- 语音大脑机器接口 (BMIs) 对于恢复言语丧失患者的沟通至关重要.
- 现有的BMI显示在解码尝试或发声语音方面取得了进展,但内部语音解码仍然有限.
- 参与解码内语的特定大脑区域尚未得到充分理解.
研究的目的:
- 为了研究内部语音的神经表征.
- 为了确定内部语言是否可以从特定的大脑区域解码.
- 评估内部语音BMI的可行性.
主要方法:
- 两名四肢的参与者在上边脊椎 (SMG) 和主要体感皮层 (S1) 接受了微电极植入物.
- 参与者执行了涉及单词和伪词的内在和发音语的任务.
- 记录神经活动,并应用解码算法进行离线和在线分析.
主要成果:
- 在SMG中,在单个神经元和人口层面上发现了内部和发声语音的显著神经表示.
- 从SMG人口活动中解码内部和发声语音,线下准确率为55%和24%,在线准确率为79%和23%.
- 参与者1显示了内部语音,文字阅读和发音语音的共享神经表征,这表明SMG中的语音编码.
结论:
- 超边缘回形 (SMG) 显示出显著的神经表达和内部语音的解码能力.
- 这项研究为高性能内部语音BMI提供了概念验证.
- 与发声的语言不同,内部语言没有调节主要体感皮质 (S1) 中的活动,这表明没有声道发音.
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