Brain activities changes in typical and realistic scenario-compatible stop-signal inhibitory tasks and classification performance

Li-Wei Ko*, Rupesh Kumar Chikara, Yu Ting Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

People regularly show inhibition control in split second under tough situations in daily life. In order to identify the brain process of inhibition control, this study introduced a new methodology to observe brain dynamics in response and success/failure inhibition in typical and realistic scenarios. Subjects will feel stress during decision-making in scenario-compatible stop-signal tasks in bith typical and realistic scenarios. The advantage of this research would be very useful in tough condition of daily life such as, driving and sport competition or in unusual situations like gun-fighting in the field of war and flooding. This study will develop two main issues: brain activity comparing between success and failure inhibition control and comparing brain activity during decision-making in normal scenario and in stress (realistic) scenario. The findings of the present study suggest that there is an increase in stressful condition during decision-making. However EEG results indicated that, in the parietal area, the event-related potential (ERP) appeared reverse phase relative to the frontal area. Therefore, we conclude that there is obvious difference in brain dynamics activities between success/failure inhibition in typical and realistic scenarios. In this research, we purposed Gaussian-classifier for typical and realistic scenarios. The classification average accuracy was observed 77.82% in typical and 75.67 % in realistic scenarios.

Original languageEnglish
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages501-504
Number of pages4
DOIs
StatePublished - 1 Dec 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: 6 Nov 20138 Nov 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period6/11/138/11/13

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