语言网络可靠地"追踪"自然主义的有意义的非语言刺激
Yotaro Sueoka1,2, Alexander Paunov1,3,4, Alyx Tanner3
1Department of Brain and Cognitive Sciences, Massachusetts Instititute of Technology, Cambridge, MA, USA.
Neurobiology of language (Cambridge, Mass.)
|June 24, 2024
概括
大脑的语言网络对有意义的非语言刺激做出反应,这表明它处理的世界知识不仅仅是语言. 这种语义处理招募神经资源,显示对概念内容的敏感性.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 语言学的语言学.
背景情况:
- 语言网络,主要在左额叶和皮层,对于语言理解至关重要.
- 讨论了这个网络在语言背景之外处理语义 (概念知识) 中的作用.
- 目前尚不清楚语言网络对有意义语言的反应是否是由潜在的概念表示驱动的.
研究的目的:
- 为了调查大脑的语言网络是否被招募用于处理含义丰富的非语言刺激.
- 确定语言的神经资源是否也参与从非语言输入中理解概念知识.
- 测试语言网络在没有语言信息的情况下对语义内容的敏感性.
主要方法:
- 使用有意义的,非语言视频和音频片段,采用了自然主义的认知范式.
- 在刺激呈现过程中测量了血氧水平依赖 (BOLD) 反应.
- 使用主体间相关性 (ISC) 来评估语言网络内的与刺激相关的神经活动.
主要成果:
- 有意义的非语言刺激可靠地引起了跨语言网络区域的学科间相关性 (ISC).
- 这些ISC在语义上丰富的非语言刺激中明显高于贫穷的非语言刺激 (例如音乐).
- 有意义的非语言刺激的ISC低于语言刺激的ISC.
结论:
- 语言网络对非语言刺激中存在的语义内容表现出敏感性.
- 这些发现表明,语言处理的神经和认知资源可能与处理一般概念知识的神经和认知资源重叠.
- 这项研究提供了证据,表明语言网络的功能超越了纯粹的语言信息.
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