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从听觉和视觉命名期间的 MEG β 功率调制中映射语言。

Mapping language from MEG beta power modulations during auditory and visual naming.

机构信息

Department of Neurology, Medical College of Wisconsin, Milwaukee, USA.

出版信息

Neuroimage. 2020 Oct 15;220:117090. doi: 10.1016/j.neuroimage.2020.117090. Epub 2020 Jun 25.

Abstract

Evaluation of language dominance is an essential step prior to epilepsy surgery. There is no consensus on an optimal methodology for determining language dominance using magnetoencephalography (MEG). Oscillatory dynamics are increasingly recognized as being of fundamental importance for brain function and dysfunction. Using task-related beta power modulations in MEG, we developed an analysis framework for localizing and lateralizing areas relevant to language processing in patients with focal epilepsy. We examined MEG responses from 29 patients (age 42 ​± ​13 years, 15M/14F) during auditory description naming (ADN) and visual picture naming (PN). MEG data were preprocessed using a combination of spatiotemporal filtering, signal thresholding, and ICA decomposition. Beta-band 17-25Hz power decrements were examined at both sensor and source levels. Volumetric grids of anatomical source space were constructed in MNI space at 8 ​mm isotropic resolution, and beta-band power changes were estimated using the dynamic imaging of coherent sources beamformer technique. A 600 ​ms temporal-window that ends 100 ​ms before speech onset was selected for analysis, to focus on later stages of word production such as phonologic selection and motor speech preparation. Cluster-based permutation testing was employed for patient- and group-level statistical inferences. Automated anatomic labeling atlas-driven laterality indices (LIs) were computed for 13 left and right language- and motor speech-related cortical regions. Group localization of ADN and PN consistently revealed significant task-related decrements of beta-power within language-related areas in the frontal, temporal and parietal lobes as well as motor-related regions of precentral/premotor and postcentral/somatomotor gyri. A region-of-interest analysis of ADN and PN suggested a strong correlation of r ​= ​0.74 (p ​< ​0.05, FDR corrected) between the two tasks within the language-related brain regions, with the highest spatial overlap in the prefrontal areas. Laterality indices (LIs) consistently showed left dominance (LI ​> ​0.1) for most individuals (93% and 82% during ADN and PN, respectively), with average LIs of 0.40 ​± ​0.25 and 0.34 ​± ​0.20 for ADN and PN, respectively. Source analysis of task-related beta power decrements appears to be a reliable method for lateralizing and localizing brain activations associated with language processing in patients with epilepsy.

摘要

语言优势评估是癫痫手术前的重要步骤。目前,尚无关于使用脑磁图(MEG)确定语言优势的最佳方法的共识。振荡动力学越来越被认为对大脑功能和功能障碍具有重要意义。我们使用任务相关的 beta 功率调制在 MEG 中开发了一种分析框架,用于定位和侧化与局灶性癫痫患者语言处理相关的区域。我们检查了 29 名患者(年龄 42 ± 13 岁,15M/14F)在听觉描述命名(ADN)和视觉图片命名(PN)期间的 MEG 反应。使用时空滤波、信号阈值和 ICA 分解的组合对 MEG 数据进行预处理。在传感器和源水平检查了 beta 频带 17-25Hz 的功率降低。以 8mm 各向同性分辨率在 MNI 空间构建解剖学源空间的体网格,并使用相干源波束形成技术的动态成像来估计 beta 频带功率变化。选择了持续 600ms 的时间窗口,该窗口在语音开始前 100ms 结束,以便专注于词生成的后期阶段,如语音选择和运动语音准备。采用基于聚类的置换检验进行患者和组水平的统计推断。为 13 个左侧和右侧语言和运动语音相关的皮质区域计算了基于自动解剖学标签图谱驱动的侧化指数(LI)。ADN 和 PN 的组定位一致显示,在额叶、颞叶和顶叶以及中央前/运动前和中央后/躯体运动回的运动相关区域内,与语言相关的区域内存在与任务相关的 beta 功率显着降低。ADN 和 PN 的兴趣区域分析表明,在语言相关脑区,这两个任务之间存在很强的相关性(r = 0.74,p < 0.05,FDR 校正),最高的空间重叠在额区。侧化指数(LI)对于大多数个体(ADN 和 PN 分别为 93%和 82%)均表现出左侧优势(LI > 0.1),ADN 和 PN 的平均 LI 分别为 0.40 ± 0.25 和 0.34 ± 0.20。与癫痫患者语言处理相关的脑激活的侧化和定位的任务相关 beta 功率降低的源分析似乎是一种可靠的方法。

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