From Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Neurosciences (Riyadh). 2021 Jan;26(1):45-55. doi: 10.17712/nsj.2021.1.20200012.
To assess a baseline assessment using developed functional magnetic resonance imaging (fMRI) language paradigms for Arabic-speakers.
24-healthy right-handed volunteers scanned on a 3.0 Tesla MRI machine. For fMRI, a BOLD-sensitive sequence used to measure signals over time across 6 language paradigms: rhyming (RH), semantic category generations (SCG), silent word generation (SWG), verb generation picture (VGp), verb generation word (VGw), and verb generation audio (VGa). fMRI data was analyzed using FMRIB Software Library (FSL).
We found that VGa, SWG, VGw and VGp robustly activated language-related regions in the dominant hemisphere. RH and SCG failed to adequately define these activation regions but this may be related to the study's preliminary nature and limitations. After assessment of their validity, considerable activation of the inferior frontal gyrus during VGa, SWG, VGw and VGp suggests that these paradigms have the potential for localizing of Broca's area in native Arabic speakers.
Set of well adapted, and evidence-based, fMRI paradigms were established for Arabic-speakers to enable accurate and sufficient localization and lateralization of the language area. After validation, these paradigms may provide sequences for accurate localization of brain language areas, and could be used as a presurgical evaluation tool.
评估使用已开发的功能性磁共振成像（fMRI）语言范式对阿拉伯语使用者进行的基线评估。
对 24 名健康的右利手志愿者在 3.0T MRI 机上进行扫描。对于 fMRI，使用 BOLD 敏感序列来测量 6 种语言范式（押韵、语义类别生成、无声单词生成、动词生成图片、动词生成单词和动词生成音频）的信号随时间的变化。使用 FMRIB 软件库（FSL）分析 fMRI 数据。
我们发现，VGa、SWG、VGw 和 VGp 可以在优势半球中稳健地激活与语言相关的区域。RH 和 SCG 未能充分定义这些激活区域，但这可能与研究的初步性质和局限性有关。在评估其有效性后，VGa、SWG、VGw 和 VGp 期间下额前回的大量激活表明，这些范式有可能对母语为阿拉伯语的人进行布罗卡区的定位。
为阿拉伯语使用者建立了一套适应性强且基于证据的 fMRI 范式，以实现语言区域的准确和充分定位和侧化。经过验证后，这些范式可以为大脑语言区域的准确定位提供序列，并可作为术前评估工具。
