Accepted_test

In the current work we studied neuronal markers of emotional processing and self-reference during the task of categorising Russian sentences based on grammatical correctness. The sentences were either correct or had a syntactic error, but they also were emotional (anxietal, aggressive, neutral) and referencing self (the reader), other people or inanimate objects. We used electroencephalography for brain signals acquisition, automatic EEG data preprocessing pipeline and permutational clustering statistical test for exploratory data analysis. Using data from a group of 64 participants, mostly young (μ_age = 23.1) males and females (N = 34) who spoke Russian as their first language and were physically and mentally healthy, we calculated the ERPs for each sentence category demonstration. By applying a permutation test when comparing these ERPs we got a number of significant (p < 0.005) spatiotemporal clusters. These clusters were interpreted as pointing at importance of medial EEG electrodes at later time periods (from around 600 to 800 ms post-stimulus) for distinguishing between emotional and neutral sentences. We believe that these EEG markers may prove useful for the development of diagnostics tools for psychological and psychiatric disorders.