在大脑中语言区域的高效功能本地化
Jayden J Lee1, Terri L Scott2, Tyler K Perrachione1
1Department of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Ave., Boston, MA 02215, United States.
NeuroImage
|December 8, 2023
概括
将脑语言网络的功能定位器扫描时间减少50-75%,可以保持空间范围和功能配置文件. 这使得有效的语言网络本地化只需3.5分钟的数据,对于特殊人群至关重要.
科学领域:
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
- 语言处理语言处理.
背景情况:
- 功能本地化器对于在认知神经科学中绘制单个语言网络至关重要.
- 目前的局部化器持续时间带来了实际挑战,特别是对于儿童和特殊人群来说,限制了它们的使用.
- 优化扫描时间对于神经成像研究的更广泛采用和效率至关重要.
研究的目的:
- 调查听觉语言定位器时间缩短对语言选择性区域测量的影响.
- 为了确定可靠地定位大脑语言网络所需的最小扫描时间.
- 评估更短的扫描时间如何影响组级分析,功能选择性和可靠性.
主要方法:
- 分析了来自听觉语言定位器扫描的参数缩小数据.
- 对组级大脑分片,功能性兴趣区域 (fROI) 选择性和激活灵敏度/特异性的影响进行了比较.
- 在不同持续时间内评估了主体级全脑和fROI激活的试验-重试可靠性.
主要成果:
- 将定位器的持续时间缩短了50-75% (降至3.5分钟),在很大程度上保持了语言区域空间范围和功能配置文件的稳定性和可靠性.
- 关键指标,包括组级一致性和主体级fROI分析,保持稳定,扫描时间显著缩短.
- 即使数据采集大幅减少,激活的敏感性和特异性也保持不变.
结论:
- 大脑中的语言网络可以使用显著更短的功能定位器扫描时间 (只需3.5分钟) 可靠地定位.
- 这种优化提高了使用功能本地化器的可行性和效率,特别是在有限的扫描时间可用性的人群中.
- 缩短的扫描时间促进了基于个体的语言映射在认知神经科学和临床环境中的更广泛应用.
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