不同语言任务背后的共同和独特的模式:在中风后的患者中多变异性断开连接和症状映射
Yaya Jiang1, Gaolang Gong1,2,3
1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Cerebral cortex (New York, N.Y. : 1991)
|January 24, 2024
概括
这项研究揭示了使用中风患者的病变映射来理解和产生语音的共享和独特的大脑区域. 这些发现支持语言处理的双流模型.
科学领域:
- 认知神经科学 认知神经科学
- 神经语言学是一种神经语言学.
- 神经成像是一种神经成像.
背景情况:
- 人们广泛研究了语音理解和语音产生的神经机制.
- 在语言任务中理解神经模式的相似性和差异仍然是一个挑战.
研究的目的:
- 为了比较语音理解和发音的基础的神经模式.
- 调查参与这些任务的共享和独特的大脑区域.
主要方法:
- 应用多变量回归与病变/断开连接的症状映射.
- 分析了216名中风患者的数据,这些患者的左半球受损.
主要成果:
- 损伤模式预测了语音理解和生产任务的性能.
- 确定了每个任务的共享区域 (左时间极) 和独特区域.
- 与叶病变相关的语音理解缺陷;与叶和额叶病变相关的生产缺陷.
结论:
- 结果支持双流模型,突出了用于语音理解和生产的腹部和背部通道.
- 在认知神经科学中证明了基于多变异脱节组的症状映射的实用性.
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