Huang Charles W, Huang Ming-Xiong, Ji Zhengwei, Swan Ashley Robb, Angeles Anne Marie, Song Tao, Huang Jeffrey W, Lee Roland R
Department of Bioengineering, University of California, San Diego, San Diego, CA, USA.
Department of Radiology, University of California, San Diego, San Diego, CA, USA; Research Services, VA San Diego Healthcare System, San Diego, CA, USA.
Clin Neurophysiol. 2016 May;127(5):2308-16. doi: 10.1016/j.clinph.2016.02.007. Epub 2016 Feb 17.
Localizing expressive language function has been challenging using the conventional magnetoencephalography (MEG) source modeling methods. The present MEG study presents a new accurate and precise approach in localizing the language areas using a high-resolution MEG source imaging method.
In 32 patients with brain tumors and/or epilepsies, an object-naming task was used to evoke MEG responses. Our Fast-VESTAL source imaging method was then applied to the MEG data in order to localize the brain areas evoked by the object-naming task.
The Fast-VESTAL results showed that Broca's area was accurately localized to the pars opercularis (BA 44) and/or the pars triangularis (BA 45) in all patients. Fast-VESTAL also accurately localized Wernicke's area to the posterior aspect of the superior temporal gyri in BA 22, as well as several additional brain areas. Furthermore, we found that the latency of the main peak of the response in Wernicke's area was significantly earlier than that of Broca's area.
In all patients, Fast-VESTAL analysis established accurate and precise localizations of Broca's area, as well as other language areas. The responses in Wernicke's area were also shown to significantly precede those of Broca's area.
The present study demonstrates that using Fast-VESTAL, MEG can serve as an accurate and reliable functional imaging tool for presurgical mapping of language functions in patients with brain tumors and/or epilepsies.
使用传统的脑磁图（MEG）源建模方法来定位表达性语言功能一直具有挑战性。本MEG研究提出了一种使用高分辨率MEG源成像方法来精确且准确地定位语言区域的新方法。
在32例患有脑肿瘤和/或癫痫的患者中，使用物体命名任务来诱发MEG反应。然后将我们的快速虚拟脑电图（Fast-VESTAL）源成像方法应用于MEG数据，以定位由物体命名任务诱发的脑区。
Fast-VESTAL结果显示，在所有患者中，布洛卡区准确地定位在额下回岛盖部（BA 44）和/或三角部（BA 45）。Fast-VESTAL还将韦尼克区准确地定位在BA 22颞上回的后部，以及其他几个脑区。此外，我们发现韦尼克区反应主峰的潜伏期明显早于布洛卡区。
在所有患者中，Fast-VESTAL分析准确且精确地确定了布洛卡区以及其他语言区域的位置。韦尼克区的反应也明显早于布洛卡区。
本研究表明，使用Fast-VESTAL，MEG可以作为一种准确可靠的功能成像工具，用于对患有脑肿瘤和/或癫痫的患者进行术前语言功能映射。
