探索白质流域与静止状态功能语言侧面化指数之间的关系
Marie-Ève Desjardins1,2,3, Karine Marcotte3,4, Xanthy Lajoie1,2
1Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.
Neurobiology of language (Cambridge, Mass.)
|June 30, 2025
概括
静态fMRI和dMRI揭示了白质结构和语言横向化之间的潜在联系. 然而,目前的结构性措施本身无法可靠地预测功能语言横向化.
科学领域:
- 神经成像是一种神经成像.
- 认知神经科学 认知神经科学
- 神经解剖学是一个神经解剖学.
背景情况:
- 静态fMRI (rs-fMRI) 以最小的偏差评估语言网络和横向化.
- 扩散核磁共振 (dMRI) 路谱通过绘制与语言相关的白质路径来补充rs-fMRI.
- 了解白质结构和功能语言横向化之间的关系对于认知神经科学至关重要.
研究的目的:
- 使用曲谱学识别语言横向化指数 (LI) 的结构白质预测因子.
- 调查微观和宏观结构白质量测量和功能性LI之间的关系.
- 确定结构性测量是否可以作为功能语言横向化的代理.
主要方法:
- 利用了618名健康的人类结合体项目参与者的rs-fMRI和dMRI数据.
- 采用线性回归和随机森林模型来分析曲谱学数据.
- 检查了弧形带,下纵向带,正面横向通道和体部分的结构尺寸.
主要成果:
- 建议白质微观和宏观结构措施与静止状态功能语言横向化之间存在潜在的关联.
- 识别的结构预测因子没有足够的代表性,不能作为功能性LI的代理.
- 两个半球和各种白质区域都显示出潜在的相关性.
结论:
- 虽然白质结构和功能横向化是相关的,但仅仅结构性测量是不够的预测因素.
- 两个半球的微观和宏观结构特征都是重要的考虑因素.
- 需要进一步的研究才能充分阐明大脑结构和语言横向化之间的复杂关系.
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