神经活动在语音生成过程中通过皮质子网络流动
Gregg A Castellucci1, Mac MacKay2, Christopher K Kovach3
1NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
这项研究使用电皮质谱绘制语音生成过程中的大脑活动图. 研究结果揭示了用于感知,规划和运动执行的独特神经网络,支持本地化语音处理模型.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 语音科学 语言科学
背景情况:
- 语音产生背后的精确神经机制,包括语言和发音信息的映射,仍然不完全理解.
- 目前尚不清楚与语音产生有关的复杂计算是否表现为神经活动的离散时空模式.
研究的目的:
- 调查语音制作期间神经活动的时空动态.
- 确定是否有不同的神经基质和活动模式是语言处理不同阶段的基础,例如感知,规划和运动执行.
主要方法:
- 利用电皮质谱 (ECoG) 来直接记录神经外科参与者的大脑活动.
- 采用交互式语音范式来引起自然主义的语音制作.
- 应用集群分析和无监督的维度缩小来表征神经活动模式.
主要成果:
- 观察到各种各样的皮层调制配置文件,将其分为与感官感知,规划,运动执行和任务抑制相关的不同类别.
- 证明这些不同的活动类是局部化的,以分离神经基板,暗示专门的网络.
- 在语音准备和表达过程中,在规划和运动网络中确定了顺序活跃的子网络.
结论:
- 这些发现支持语言生产的本地化模型,其中不同的神经通路专门用于不同的处理步骤.
- 语音产生的神经活动在这些已识别的离散通路内和跨越这些已识别的离散通路内动态地流动.
- 这项研究提供了对人类语言背后的神经组织的更详细的了解.
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