Investigation of noun-verb dissociation based on EEG source reconstruction

Bin Zhao, J. Dang, Gaoyan Zhang
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引用次数: 2

Abstract

To clarify whether grammatical category or semantic meaning is the underlying determinant of noun-verb dissociation in the brain topography, this study recorded 128-channel electroencephalographic (EEG) signals from the scalps of 22 subjects when they listened to auditory (i) unambiguous nouns (UN), (ii) unambiguous verbs (UV), (iv) noun-biased ambiguous words (AN) and (v) verb-biased ambiguous words (AV). Then the current density source reconstruction algorithm with a standardized low-resolution electromagnetic tomography constraint was applied to the EEG signals to uncover the brain dynamics during the word processing. In our results, the noun-verb dissociation appeared in the periods of 150–250 ms and 380–450 ms, during which activation differences in the visual occipital cortex and motor frontal cortex were observed in both UN-UV and AN-AV contrasts. The results suggest that semantic differences might lead to the noun-verb dissociation.
基于脑电源重构的名动分离研究
为了弄清语法范畴还是语义意义是脑地形中名动分离的潜在决定因素,本研究记录了22名受试者在听(i)无歧义名词(UN)、(ii)无歧义动词(UV)、(iv)名词偏向歧义词(AN)和(v)动词偏向歧义词(AV)时的128通道脑电图(EEG)信号。在此基础上,采用标准化低分辨率电磁断层成像约束下的电流密度源重构算法对脑电信号进行重构,揭示字处理过程中的脑动态。在150 ~ 250 ms和380 ~ 450 ms期间出现了名词-动词分离,在此期间,UN-UV和AN-AV对比均观察到枕叶视觉皮层和运动额叶皮层的激活差异。结果表明,语义差异可能导致名动分离。
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