• DocumentCode
    141248
  • Title

    Neural markers for immediate performance accuracy in a Stroop color-word matching task: An event-related potentials analysis

  • Author

    Guofa Shou ; Lei Ding

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    6222
  • Lastpage
    6225
  • Abstract
    The present study examined the neural markers measured in event-related potentials (ERPs) for immediate performance accuracy during a cognitive task with less conflict, i.e., a Stroop color-word matching task, in which participants were required to judge the congruency of two feature dimensions of a stimulus. In an effort to make ERP components more specific to distinct underlying neural substrates, recorded EEG signals were firstly dissolved into multiple independent components (ICs) using independent component analysis (ICA). Thereafter, individual ICs with prominent sensory- or cognitive-related ERP components were selected to separately reconstruct scalp EEG signals at representative channels, from which ERP waveforms were built, respectively. Statistical comparisons on amplitudes of stimulus-locked ERP components, i.e., prefrontal P2 and N2, parietal P3, bilateral occipital P1 and N1, revealed significant reduced P3 amplitude in error trials than in correct trials. In addition, significant evident ERN was also observed in error trials but not in correct trials. Considering the temporal locus of semantic conflict in the present task, we concluded that reduced P3 amplitude in error trials reflect impaired resolving process of semantic conflict, which further lead to a performance error in the Stroop color-word matching task.
  • Keywords
    bioelectric potentials; cognition; electroencephalography; independent component analysis; medical signal processing; neurophysiology; signal reconstruction; Stroop color-word matching task; cognitive-related ERP components; event-related potentials analysis; independent component analysis; neural markers; scalp EEG signal reconstruction; sensory-related ERP components; statistical analysis; stimulus-locked ERP components; Accuracy; Educational institutions; Electroencephalography; Image color analysis; Integrated circuits; Scalp; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6945050
  • Filename
    6945050