Predicting participants' attitudes from patterns of event-related potentials during the reading of morally relevant statements - An MVPA investigation.

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.

Neural correlates of error detection during complex response selection: Introduction of a novel eight-alternative response task.

Error processing in complex decision tasks should be more difficult compared to a simple and commonly used two-choice task. We developed an eight-alternative response task (8ART), which allowed us to investigate different aspects of error detection. We analysed event-related potentials (ERP; N = 30). Interestingly, the response time moderated several findings. For example, only for fast responses, we observed the well-known effect of larger error negativity (Ne) in signalled and non-signalled errors compared to correct responses, but not for slow responses. We identified at least two different error sources due to post-experimental reports and certainty ratings: impulsive (fast) errors and (slow) memory errors. Interestingly, the participants were able to perform the task and to identify both, impulsive and memory errors successfully. Preliminary evidence indicated that early (Ne-related) error processing was not sensitive to memory errors but to impulsive errors, whereas the error positivity seemed to be sensitive to both error types.

How attitude strength and information influence moral decision making: Evidence from event-related potentials.

Moral judgments are based on complex processing. This study aimed to investigate neural correlates of moral decisions. Participants (N = 32) were asked to express their opinion on various moral issues while ERPs were recorded. After reading texts containing either confirming or contradicting arguments regarding the issues, participants were asked to express their opinion again. A higher N400 amplitude and a higher amplitude of the late positive potential for value-incongruent words compared to value-congruent words could be observed. Furthermore, after participants had read conflicting arguments, slower responses and larger N400 differences (value-incongruent minus value-congruent) were observed. These results showed that language processing for a moral context is influenced by the subjective value system, and it can be assumed that a demanding cognitive elaboration contributed to the observed RT and N400 priming effects. This is the first ERP study comparing moral judgments before and after reading confirming or conflicting information; it revealed that evaluative reasoning can influence neural processing for moral decisions.