在1000多个人类大脑的个性化功能连接组中,一个语言网络执行任意任务
bioRxiv : the preprint server for biology
|April 16, 2025
概括
个性化功能连接学 (iFC) 揭示了一个稳定的,左侧的大脑网络用于语言处理. 这种神经成像方法可以识别成年人的语言区域,无论任务如何,帮助神经科学和神经外科手术.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 神经科学提出了许多关于语言神经生物学的理论.
- 概念上的分歧和个人的大脑变异性有助于这些不同的理论.
- 功能磁共振成像 (fMRI) 研究表明,语言网络是从个性化功能连接学 (iFC) 中产生的.
研究的目的:
- 为了测试iFC在规模上揭示了一个稳定的语言网络的假设.
- 评估iFC对于任务不可知语言本地化方面的实用性.
- 探索神经科学,神经外科和神经工程的实际含义.
主要方法:
- 应用iFC分析对1,971个fMRI扫描会议的1,199个独特的大脑.
- 使用多种任务和任务逆转激活时间.
- 评估了个人内部和个人之间的网络稳定性,以及对分片细分性的稳定性.
主要成果:
- iFC成功地揭示了一个左侧侧面的前神经网络.
- 这种语言网络在个人内部表现出比个人之间更高的稳定性.
- 鉴定到的网络对分片方法具有强度,对语言功能具有选择性.
结论:
- 这些发现支持这样一个假设,即前神经网络对于成年大脑的功能组织至关重要.
- iFC可以从各种神经成像数据可追溯地可靠地恢复语言网络.
- 这种方法对大脑中的语言理解和临床应用具有重大意义.
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