• DocumentCode
    662993
  • Title

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

  • Author

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

  • Author_Institution
    Dept. of Biol. Sci. & Technol., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    501
  • Lastpage
    504
  • 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.
  • Keywords
    Gaussian processes; bioelectric potentials; decision making; electroencephalography; medical signal processing; signal classification; EEG; ERP; Gaussian-classifier; brain activity; brain dynamics; brain process; classification performance; decision-making; electroencephalography; event-related potential; failure inhibition control; frontal area; parietal area; realistic scenario-compatible stop-signal inhibitory tasks; stress realistic scenario; success inhibition control; typical scenario-compatible stop-signal inhibitory tasks; Accuracy; Brain; Decision making; Educational institutions; Electroencephalography; Pediatrics; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1948-3546
  • Type

    conf

  • DOI
    10.1109/NER.2013.6695981
  • Filename
    6695981