Abstract
The most fundamental and simplest intention for interpersonal communication may be the intentions to answer "yes" or "no" to a question, based on a binary decision. However, the neural mechanism of this type of intention has not been investigated in detail. The main purpose of this study was to investigate cortical processing of the "yes/no" intentions to answer self-referential questions. Multichannel electroencephalograms (EEGs) were recorded while covertly answering self-referential questions with either "yes" or "no". Event-related spectral perturbation (ERSP) and interregional phase synchrony (PS) were investigated to identify the differences in local and global neural synchronies between two intentions. We found that the local and interregional neural synchronies in the alpha-band were significantly different between "yes" and "no," especially at the period of retaining the intention in mind, which was greater for "no" than for "yes." These results can be interpreted to signify that a higher cognitive load during working memory retention or higher attentional demand is required for the "no" intention compared to "yes." Our findings suggest that both local and global neural synchronies in the alpha-band may be significantly differentiated during a critical temporal epoch, according to the contents of the mental representation of the intention.
Original language | English |
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Article number | 7084186 |
Journal | Computational Intelligence and Neuroscience |
Volume | 2019 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
Funding Information:-is research was supported by a grant (17CTAP-C129722-01) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean government and supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2015R1D1A1A01056743).
Funding Information:
This research was supported by a grant (17CTAP-C129722-01) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean government and supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2015R1D1A1A01056743).
Publisher Copyright:
© 2019 Jeong Woo Choi et al.
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Neuroscience(all)
- Mathematics(all)