Morality and language are hardly separable, given that morality-related aspects such as knowledge, emotions, or experiences are connected with language on different levels. One question that arises is: How rapidly do neural processes set in when processing statements that reflect moral value containing information? In the current study, participants read sentences about morally relevant statements (e.g., ‘Wars are acceptable’) and expressed their (dis)agreement with the statements while their electroencephalogram (EEG) was recorded. Multivariate pattern classification (MVPA) was used during language processing to predict the individual's response. Our results show that (1) the response (‘yes’ vs. ‘no’) could be predicted from 180 ms following the decision-relevant word (here acceptable), and (2) the attitude (pro vs. contra the topic) could be predicted from 170 ms following the topic word (here wars). We suggest that the successful MVPA classification is due to different brain activity patterns evoked by differences in activated mental representations (e.g. valence, arousal, etc.) depending on whether the attitude towards the topic is positive or negative and whether it is in accordance with the presented decisive word or not.

鉴于知识，情感或经验等与道德相关的方面与语言的不同层次相关，因此道德和语言很难分离。出现的一个问题是：在处理反映包含信息的道德价值的陈述时，神经过程的建立速度有多快？在当前的研究中，参与者阅读有关道德相关陈述的句子（例如，“战争可接受”），并在记录其脑电图（EEG）时表达他们对陈述的（不同意）同意。语言处理过程中使用了多变量模式分类（MVPA）来预测个人的反应。我们的结果表明（1）响应（“是”与“否”'）可以在与决策相关的单词之后180毫秒内进行预测（此处可接受），并且（2）可以在主题词之后170毫秒内（此处为wars）预测态度（赞成与反对主题）。我们建议成功的MVPA分类归因于不同的大脑活动模式，这取决于激活的心理表征（例如，价，唤醒等）的差异，这取决于对主题的态度是正面还是负面，以及它是否与主题一致。是否提出决定性的字眼。