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早期前额叶对情绪词愉悦性的脑反应——一项 EEG 和 MEG 的同步研究。

Early prefrontal brain responses to the Hedonic quality of emotional words--a simultaneous EEG and MEG study.

机构信息

Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.

出版信息

PLoS One. 2013 Aug 5;8(8):e70788. doi: 10.1371/journal.pone.0070788. Print 2013.

Abstract

The hedonic meaning of words affects word recognition, as shown by behavioral, functional imaging, and event-related potential (ERP) studies. However, the spatiotemporal dynamics and cognitive functions behind are elusive, partly due to methodological limitations of previous studies. Here, we account for these difficulties by computing combined electro-magnetoencephalographic (EEG/MEG) source localization techniques. Participants covertly read emotionally high-arousing positive and negative nouns, while EEG and MEG were recorded simultaneously. Combined EEG/MEG current-density reconstructions for the P1 (80-120 ms), P2 (150-190 ms) and EPN component (200-300 ms) were computed using realistic individual head models, with a cortical constraint. Relative to negative words, the P1 to positive words predominantly involved language-related structures (left middle temporal and inferior frontal regions), and posterior structures related to directed attention (occipital and parietal regions). Effects shifted to the right hemisphere in the P2 component. By contrast, negative words received more activation in the P1 time-range only, recruiting prefrontal regions, including the anterior cingulate cortex (ACC). Effects in the EPN were not statistically significant. These findings show that different neuronal networks are active when positive versus negative words are processed. We account for these effects in terms of an "emotional tagging" of word forms during language acquisition. These tags then give rise to different processing strategies, including enhanced lexical processing of positive words and a very fast language-independent alert response to negative words. The valence-specific recruitment of different networks might underlie fast adaptive responses to both approach- and withdrawal-related stimuli, be they acquired or biological.

摘要

词汇的愉悦意义会影响词汇识别,这一点已被行为学、功能成像和事件相关电位(ERP)研究证明。然而,其背后的时空动态和认知功能仍然难以捉摸,部分原因是先前研究的方法学限制。在这里,我们通过计算组合脑电/脑磁图(EEG/MEG)源定位技术来解决这些困难。参与者在隐蔽阅读情感上高度唤起的积极和消极名词时,同时记录 EEG 和 MEG。使用真实的个体头部模型和皮质约束,计算了 P1(80-120ms)、P2(150-190ms)和 EPN 成分(200-300ms)的组合 EEG/MEG 电流密度重建。与消极词汇相比,P1 对积极词汇主要涉及语言相关结构(左中颞和下额区域),以及与定向注意相关的后部结构(枕部和顶叶区域)。在 P2 成分中,效应转移到右半球。相比之下,只有在 P1 时间范围内,消极词汇会引起更多的激活,涉及前额区域,包括前扣带皮层(ACC)。EPN 中的效应没有统计学意义。这些发现表明,当处理积极和消极词汇时,不同的神经元网络是活跃的。我们根据语言习得过程中词汇形式的“情感标记”来解释这些效应。这些标签随后会产生不同的处理策略,包括对积极词汇的增强词汇处理和对消极词汇的非常快速的语言独立警报反应。不同网络的特定效价招募可能是对接近和回避相关刺激的快速适应反应的基础,无论是习得的还是生物的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7553/3733636/30dd75205538/pone.0070788.g001.jpg

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