• DocumentCode
    2252262
  • Title

    Characteristics of EEG signals during tough and easy linguistic problem solving

  • Author

    Jun-Su Kang ; Minho Lee

  • Author_Institution
    Sch. of Electron. Eng., Kyungpook Nat. Univ., Taegu, South Korea
  • fYear
    2015
  • fDate
    12-14 Jan. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In the present EEG coherence study, we investigate the brain activation patterns and resource allocation strategies of high-intelligent individuals as compared to low-intelligent individuals while they solve linguistic problems with two levels of complexity. Results of our study supports both efficiency and resource hypothesis. Our findings suggest that high intelligent individuals allocate fewer resources and recruit minimum task relevant brain areas when the task is perceived easy but allocate more resources and recruit several brain areas when the task demand is high. Low intelligent individuals, on the contrary, do not modulate their resource allocation. These results strongly suggest that high intelligent individuals modulate their resource allocation strategies based on the perceived complexity of the task. The study also shows that EEG coherence can be a good indicator to identify intelligence of individuals in a given task.
  • Keywords
    electroencephalography; medical signal processing; neurophysiology; EEG coherence; EEG signal characteristics; brain activation patterns; high-intelligent individuals; linguistic problem solving; low-intelligent individuals; perceived complexity; resource allocation strategies; resource hypothesis; Abstracts; Coherence; Decision support systems; Electroencephalography; Materials; Neuroscience; Resource management; Coherence analysis; EEG; Intelligence; Neural efficiency; Resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on
  • Conference_Location
    Sabuk
  • Print_ISBN
    978-1-4799-7494-8
  • Type

    conf

  • DOI
    10.1109/IWW-BCI.2015.7073026
  • Filename
    7073026