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使用磁源成像技术优化语言优势半球的估计。

Optimizing estimation of hemispheric dominance for language using magnetic source imaging.

机构信息

Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, USA.

出版信息

Brain Res. 2011 Oct 6;1416:44-50. doi: 10.1016/j.brainres.2011.08.017. Epub 2011 Aug 16.

Abstract

The efficacy of magnetoencephalography (MEG) as an alternative to invasive methods for investigating the cortical representation of language has been explored in several studies. Recently, studies comparing MEG to the gold standard Wada procedure have found inconsistent and often less-than accurate estimates of laterality across various MEG studies. Here we attempted to address this issue among normal right-handed adults (N=12) by supplementing a well-established MEG protocol involving word recognition and the single dipole method with a sentence comprehension task and a beamformer approach localizing neural oscillations. Beamformer analysis of word recognition and sentence comprehension tasks revealed a desynchronization in the 10-18Hz range, localized to the temporo-parietal cortices. Inspection of individual profiles of localized desynchronization (10-18Hz) revealed left hemispheric dominance in 91.7% and 83.3% of individuals during the word recognition and sentence comprehension tasks, respectively. In contrast, single dipole analysis yielded lower estimates, such that activity in temporal language regions was left-lateralized in 66.7% and 58.3% of individuals during word recognition and sentence comprehension, respectively. The results obtained from the word recognition task and localization of oscillatory activity using a beamformer appear to be in line with general estimates of left hemispheric dominance for language in normal right-handed individuals. Furthermore, the current findings support the growing notion that changes in neural oscillations underlie critical components of linguistic processing.

摘要

几项研究探索了脑磁图(MEG)作为替代侵入性方法来研究语言皮质代表的有效性。最近,将 MEG 与金标准瓦达程序进行比较的研究发现,各种 MEG 研究中,侧化的估计结果不一致,且常常不够准确。在这里,我们通过补充一个成熟的 MEG 协议,该协议涉及单词识别和单极子方法,以及句子理解任务和波束形成器方法来定位神经振荡,试图解决这个问题。在正常右利手成年人(N=12)中。对单词识别和句子理解任务的波束形成分析显示,在颞顶皮质区域出现了 10-18Hz 范围内的去同步化。对局部去同步化(10-18Hz)的个体谱的检查表明,在单词识别和句子理解任务中,分别有 91.7%和 83.3%的个体表现出左半球优势。相比之下,单极子分析得出的估计值较低,以至于在单词识别和句子理解期间,颞叶语言区域的活动分别在 66.7%和 58.3%的个体中表现为左侧化。从单词识别任务获得的结果和使用波束形成器定位振荡活动的结果似乎与正常右利手个体语言左半球优势的一般估计一致。此外,目前的研究结果支持这样一种观点,即神经振荡的变化是语言处理关键成分的基础。

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Functional neuroimaging with MEG: normative language profiles.使用脑磁图的功能神经成像:正常语言特征
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