Affiliation:
1. Southern Federal University
Abstract
The purpose of the study is to examine gender differences associated with the mental pronunciation of words in EEG coherence patterns.
Materials and Methods. The authors studied the impact of gender differences on the characteristics of EEG spatial synchronization patterns associated with the mental pronunciation of words denoting direction: up, down, left, right, forward, backward. The study enrolled 10 boys and 10 girls, aged 21±3.
Results. The dominance of the left hemisphere was observed in young men, while the right hemisphere dominated in girls. Specific patterns of EEG coherence are formed in both left and right hemispheres. Discrimination of mentally pronounced words according to the EEG coherence values in young men is effectively implemented according to coherence patterns, which form separately in both left and right hemispheres, whereas in girls the coherence patterns of both hemispheres should be taken into account. Gender peculiarities in the structural and functional organization of the brain and the characteristics of its bioelectrical activity should not be underestimated, in particular, when developing a BCI based on EEG and inner speech. It is known that the internal (mental) pronunciation of words is reflected both in the cortical and superficially recorded bioelectrical activity of the brain. EEG recording of the activity has obvious advantages. However, so far little is known about manifestation of inner speech and its characteristics with respect to gender.
Conclusion. The results obtained confirm gender differences in the EEG characteristics of the brain during the mental pronunciation of words denoting directions.
Publisher
Ulyanovsk State University
Reference35 articles.
1. Vygotskiy L.S. Myshlenie i rech': sbornik [Thinking and speech: Collection]. Moscow; 2020. 250 (in Russian).
2. Martin S., Millán José del R., Knight R., Brian T., Pasley N. The use of intracranial recordings to decode human language: Challenges and opportunities. Brain & Language. 2019; 193: 73–83.
3. Cooney C., Folli R., Coyle D. Neurolinguistics research advancing development of a direct-speech brain-computer interface. IScience. 2018; 8: 103–125.
4. Kiroy V.N., Bakhtin O.M., Minyaeva N.R., Lazurenko D.M., Aslanyan, E.V., Kiroy R.I. Elektrograficheskie korrelyaty vnutrenney rechi [Electrographic correlates of inner speech]. Zhurn. vyssh. nerv. deyat. 2015; 65 (5): 616–625 (in Russian).
5. Kiroy V.N., Bakhtin O.M., Krivko E.M., Lazurenko D.M., Aslanyan E.V., Shaposhnikov D.G., Shcherban I.V. Spoken and Inner Speech-related EEG Connectivity in Different Spatial Direction. Biomedical Signal Processing and Control. 2022; 71: 103–224. DOI: https://doi.org/10.1016/j.bspc.2021.103224.