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Optimizing Magnetoencephalographic Imaging Estimation of Language Lateralization for Simpler Language Tasks
Frontiers in Human Neuroscience ( IF 2.4 ) Pub Date : 2020-05-15 , DOI: 10.3389/fnhum.2020.00105
Leighton B N Hinkley 1 , Elke De Witte 1, 2 , Megan Cahill-Thompson 1 , Danielle Mizuiri 1 , Coleman Garrett 1 , Susanne Honma 1 , Anne Findlay 1 , Maria Luisa Gorno-Tempini 3, 4 , Phiroz Tarapore 2 , Heidi E Kirsch 3 , Peter Mariën 5 , John F Houde 6 , Mitchel Berger 2 , Srikantan S Nagarajan 1
Affiliation  

Magnetoencephalographic imaging (MEGI) offers a non-invasive alternative for defining preoperative language lateralization in neurosurgery patients. MEGI indeed can be used for accurate estimation of language lateralization with a complex language task – auditory verb generation. However, since language function may vary considerably in patients with focal lesions, it is important to optimize MEGI for estimation of language function with other simpler language tasks. The goal of this study was to optimize MEGI laterality analyses for two such simpler language tasks that can have compliance from those with impaired language function: a non-word repetition (NWR) task and a picture naming (PN) task. Language lateralization results for these two tasks were compared to the verb-generation (VG) task. MEGI reconstruction parameters (regions and time windows) for NWR and PN were first defined in a presurgical training cohort by benchmarking these against laterality indices for VG. Optimized time windows and regions of interest (ROIs) for NWR and PN were determined by examining oscillations in the beta band (12–30 Hz) a marker of neural activity known to be concordant with the VG laterality index (LI). For NWR, additional ROIs include areas MTG/ITG and for both NWR and PN, the postcentral gyrus was included in analyses. Optimal time windows for NWR were defined as 650–850 ms (stimulus-locked) and −350 to −150 ms (response-locked) and for PN −450 to −250 ms (response-locked). To verify the optimal parameters defined in our training cohort for NWR and PN, we examined an independent validation cohort (n = 30 for NWR, n = 28 for PN) and found high concordance between VG laterality and PN laterality (82%) and between VG laterality and NWR laterality (87%). Finally, in a test cohort (n = 8) that underwent both the intracarotid amobarbital procedure (IAP) test and MEG for VG, NWR, and PN, we identified excellent concordance (100%) with IAP for VG + NWR + PN composite LI, high concordance for PN alone (87.5%), and moderate concordance for NWR alone (66.7%). These findings provide task options for non-invasive language mapping with MEGI that can be calibrated for language abilities of individual patients. Results also demonstrate that more accurate estimates can be obtained by combining laterality estimates obtained from multiple tasks. MEGI

中文翻译:


针对更简单的语言任务优化语言偏侧化的脑磁成像估计



脑磁图(MEGI)为神经外科患者术前语言偏侧化的定义提供了一种非侵入性替代方案。 MEGI 确实可以用于通过复杂的语言任务(听觉动词生成)来准确估计语言偏侧化。然而,由于局灶性病变患者的语言功能可能有很大差异,因此优化 MEGI 以通过其他更简单的语言任务估计语言功能非常重要。本研究的目标是优化 MEGI 偏侧性分析,以实现两个此类更简单的语言任务,这些任务可以满足语言功能受损者的依从性:非单词重复 (NWR) 任务和图片命名 (PN) 任务。将这两项任务的语言偏侧化结果与动词生成(VG)任务进行比较。 NWR 和 PN 的 MEGI 重建参数(区域和时间窗口)首先在术前训练队列中通过将这些参数与 VG 的偏侧指数进行基准测试来定义。 NWR 和 PN 的优化时间窗口和感兴趣区域 (ROI) 通过检查 beta 频段 (12-30 Hz) 的振荡来确定,β 频段是已知与 VG 偏侧性指数 (LI) 一致的神经活动标记。对于 NWR,其他 ROI 包括 MTG/ITG 区域,对于 NWR 和 PN,分析中包括中央后回。 NWR 的最佳时间窗定义为 650–850 ms(刺激锁定)和−350 至−150 ms(响应锁定),PN 的最佳时间窗定义为−450 至−250 ms(响应锁定)。为了验证我们的 NWR 和 PN 训练队列中定义的最佳参数,我们检查了一个独立的验证队列(NWR n = 30,PN n = 28),发现 VG 偏侧性和 PN 偏侧性 (82%) 之间以及VG 偏侧性和 NWR 偏侧性 (87%)。 最后,在对 VG、NWR 和 PN 进行颈内异戊巴比妥手术 (IAP) 测试和 MEG 测试的测试队列 (n = 8) 中,我们发现 VG + NWR + PN 复合 LI 与 IAP 具有极好的一致性 (100%) ,单独 PN 的一致性较高(87.5%),单独 NWR 的一致性中等(66.7%)。这些发现为 MEGI 的非侵入性语言映射提供了任务选项,可以根据个体患者的语言能力进行校准。结果还表明,通过组合从多个任务获得的偏侧性估计可以获得更准确的估计。梅吉
更新日期:2020-05-15
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