功能性MRI,但不是白质纤维剖析,可以确定语言的主导地位
Ayisha Al Busaidi1,2, Emma Gangemi3,4, Stephen Wastling3,5
1Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK. ayisha.albusaidi@nhs.net.
European radiology
|July 6, 2023
概括
这项研究没有发现功能性MRI (fMRI) 和扩散通道图用于评估语言侧向的相关性. 目前,由于结果不一致,不建议使用 Tractography 评估语言侧向化.
科学领域:
- 神经成像是一种神经成像.
- 神经科学是一个神经科学.
- 绘制大脑地图 绘制大脑地图
背景情况:
- 扩散通道学为语言通路分析提供了功能性MRI (fMRI) 的可行替代方案,特别是在具有挑战性的患者群体中.
- 之前的研究表明,通过扩散通道学,语言通路的横向化.
研究的目的:
- 使用扩散通道学研究值独立的fMRI语言侧向化和结构侧向化之间的相关性.
- 在健康对照组和脑瘤患者中,比较基于轨道图的结构侧向化与基于fMRI的功能侧向化.
主要方法:
- 对15名健康受试者和61名脑瘤患者的回顾性分析.
- 进行了语言fMRI和扩散权重MRI.
- 使用单张力 (ST) 和球形解卷 (SD) 模型计算的fMRI侧面性指数 (LI) 和通道不对称指数 (AI),包括阻碍调制定向异构 (HMOA).
主要成果:
- 在所有受试者中,没有发现fMRI LI和轨道图AI之间的任何显著相关性,对于任何切割的轨道.
- 只有当将对照中的手性和患者的瘤体积考虑在内时,才出现相关性.
- 在基于ST和SD的AI之间观察到不一致的结果,表明结构横向化评估中的不一致性.
结论:
- 目前的扩散通道学方法 (体积或HMOA) 不推用于评估语言侧向.
- 剖析路段的结构侧向化可能不那么强大,或路段图可能不那么敏感,而不是功能侧向化.
- 需要进一步开发扩散分析方法,以便可靠地评估语言侧向化.
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