• DocumentCode
    1833356
  • Title

    Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces

  • Author

    Gouy-Pailler, C. ; Achard, S. ; Rivet, Bertrand ; Jutten, Christian ; Maby, E. ; Souloumiac, A. ; Congedo, M.

  • Author_Institution
    UMR CNRS, Grenoble
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    2520
  • Lastpage
    2523
  • Abstract
    This article presents a new processing method to design brain-computer interfaces (BCIs). It shows how to use the perturbations of the communication between different cortical areas due to a cognitive task. For this, the network of the cerebral connections is built from correlations between cortical areas at specific frequencies and is analyzed using graph theory. This allows us to describe the topological organisation of the networks using quantitative measures. This method is applied to an auditive steady-state evoked potentials experiment (dichotic binaural listening) and compared to a more classical method based on spectral filtering.
  • Keywords
    auditory evoked potentials; brain; cognition; graph theory; medical computing; neurophysiology; user interfaces; asynchronous brain-computer interfaces; auditive steady-state evoked potentials; brain connections; cerebral connections; cognitive task; cortical areas; dichotic binaural listening; graph theory; topographical dynamics; topological organisation; Brain computer interfaces; Brain modeling; Complex networks; Design methodology; Filtering; Frequency synchronization; Graph theory; Process design; Signal processing; Steady-state; Brain; Brain Mapping; Cognition; Computers; Equipment Design; Evoked Potentials; Humans; Man-Machine Systems; Models, Neurological; Models, Statistical; Nerve Net; Neural Networks (Computer); Nonlinear Dynamics; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352841
  • Filename
    4352841