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振荡性神经活动反映了分布式皮质网络中感觉模态内和感觉模态间的词汇语义特征整合。

Oscillatory neuronal activity reflects lexical-semantic feature integration within and across sensory modalities in distributed cortical networks.

作者信息

van Ackeren Markus J, Schneider Till R, Müsch Kathrin, Rueschemeyer Shirley-Ann

机构信息

Department of Psychology, University of York, York YO10 5DD, United Kingdom, and.

Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.

出版信息

J Neurosci. 2014 Oct 22;34(43):14318-23. doi: 10.1523/JNEUROSCI.0958-14.2014.

Abstract

Research from the previous decade suggests that word meaning is partially stored in distributed modality-specific cortical networks. However, little is known about the mechanisms by which semantic content from multiple modalities is integrated into a coherent multisensory representation. Therefore we aimed to characterize differences between integration of lexical-semantic information from a single modality compared with two sensory modalities. We used magnetoencephalography in humans to investigate changes in oscillatory neuronal activity while participants verified two features for a given target word (e.g., "bus"). Feature pairs consisted of either two features from the same modality (visual: "red," "big") or different modalities (auditory and visual: "red," "loud"). The results suggest that integrating modality-specific features of the target word is associated with enhanced high-frequency power (80-120 Hz), while integrating features from different modalities is associated with a sustained increase in low-frequency power (2-8 Hz). Source reconstruction revealed a peak in the anterior temporal lobe for low-frequency and high-frequency effects. These results suggest that integrating lexical-semantic knowledge at different cortical scales is reflected in frequency-specific oscillatory neuronal activity in unisensory and multisensory association networks.

摘要

过去十年的研究表明,词义部分存储在分布式的特定模态皮层网络中。然而,对于来自多种模态的语义内容如何整合为连贯的多感官表征的机制,我们却知之甚少。因此,我们旨在刻画单模态与双感官模态的词汇语义信息整合之间的差异。我们利用人类脑磁图来研究振荡神经元活动的变化,在此期间参与者要验证给定目标词(如“公交车”)的两个特征。特征对要么由来自同一模态的两个特征组成(视觉:“红色”“大的”),要么由不同模态的特征组成(听觉和视觉:“红色”“响亮的”)。结果表明,整合目标词的特定模态特征与增强的高频功率(80 - 120赫兹)相关,而整合来自不同模态的特征则与低频功率(2 - 8赫兹)的持续增加相关。源重建显示,前颞叶出现了低频和高频效应的峰值。这些结果表明,在不同皮层尺度整合词汇语义知识反映在单感官和多感官联合网络中特定频率的振荡神经元活动上。

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