• DocumentCode
    72610
  • Title

    The Component Structure of Event-Related Potentials in the P300 Speller Paradigm

  • Author

    Kamp, Siri-Maria ; Murphy, Anthony R. ; Donchin, Emanuel

  • Author_Institution
    Dept. of Psychol., Univ. of South Florida, Tampa, FL, USA
  • Volume
    21
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    897
  • Lastpage
    907
  • Abstract
    We investigated the componential structure of event-related potentials elicited while participants use the P300 BCI. Six healthy participants “typed” all characters in a 6 × 6 matrix twice in a random sequence. A principal component analysis indicated that in addition to the P300, target flashes elicited an earlier frontal positivity, possibly a Novelty P3. The amplitudes of both P300 and the Novelty P3 varied with the matrix row in which the target character was located. However, the P300 elicited by row flashes was largest for targets in the lower part of the matrix, whereas the Novelty P3 elicited by column flashes was largest in the top part. Classification accuracy using stepwise linear discriminant analysis mirrored the pattern in the Novelty P3 (an accuracy difference of 0.1 between rows 1 and 6). When separate classifiers were generated to rely solely on the P300 or solely on the Novelty P3, the latter function led to higher accuracy (a mean accuracy difference of about 0.2 between classifiers). A possible explanation is that some nontarget flashes elicit a P300, leading to lower selection accuracy of the respective classifier. In an additional set of data from six different participants we replicated the ERP structure of the initial analyses and characterized the spatial distributions more closely by using a dense electrode array. Overall, our findings provide new insights in the componential structure of ERPs elicited in the P300 speller paradigm and have important implications for optimizing the speller´s selection accuracy.
  • Keywords
    bioelectric potentials; biomedical electrodes; brain-computer interfaces; electroencephalography; medical signal processing; principal component analysis; signal classification; ERP structure; P300 BCI; P300 speller paradigm; classification accuracy; component structure; dense electrode array; event-related potentials; frontal positivity; novelty P3; principal component analysis; spatial distributions; stepwise linear discriminant analysis; Brain–computer interface; Novelty P3; P300; Adolescent; Adult; Brain-Computer Interfaces; Event-Related Potentials, P300; Female; Humans; Language; Male; Photic Stimulation; Task Performance and Analysis; Word Processing; Young Adult;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2013.2285398
  • Filename
    6650026