• DocumentCode
    3420371
  • Title

    Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task

  • Author

    Babiloni, F. ; Cincotti, F. ; Basilisco, A. ; Maso, E. ; Bufano, M. ; Babiloni, C. ; Carducci, F. ; Rossini, P. ; Cerutti, S. ; Rubin, D. Ben Dayan

  • Author_Institution
    La Sapienza Univ., Rome, Italy
  • fYear
    2003
  • fDate
    20-22 March 2003
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    We addressed questions related to the cortical sources involved in the spatial short term memory in humans. Such sources were estimated from non-invasive EEG recordings by using linear inverse procedure in a group of 9 normal healthy subjects. Analyzed neural activations from EEG recordings were obtained in regions of interest (ROIs) of few squared cm at the cortical level. Structural equation modeling (SEM) technique was then used to assess effective connectivity between cortical ROIs. Results showed an increase of connectivity of cortical prefrontal and premotor areas during the task phase in which an image has to be held in the memory before an appropriate decision has to be made by the subjects.
  • Keywords
    brain models; electroencephalography; inverse problems; neurophysiology; connectivity; cortical ROI; cortical level; cortical prefrontal areas; cortical sources; decision; effective connectivity; frontoparietal cortical networks; high resolution EEG; humans; image; linear inverse procedure; neural activations; noninvasive EEG recordings; normal healthy subjects; premotor areas; regions of interest; short term memory task; spatial short term memory; structural equation modeling; structural equation modeling technique; task phase; Brain modeling; Buffer storage; Cognition; Electroencephalography; Equations; Hemodynamics; Humans; Inverse problems; Magnetic heads; Numerical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
  • Print_ISBN
    0-7803-7579-3
  • Type

    conf

  • DOI
    10.1109/CNE.2003.1196760
  • Filename
    1196760