• DocumentCode
    2939972
  • Title

    Network dynamics of the epileptic brain at rest

  • Author

    Stamoulis, Catherine ; Gruber, Lawrence J. ; Chang, Bernard S.

  • Author_Institution
    Med. Sch., Dept. of Neurology, Harvard Univ., Boston, MA, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    150
  • Lastpage
    153
  • Abstract
    Baseline neurodynamics are believed to play an important role in normal brain function. A potentially intrinsic property of the brain is the weak coupling between networks at rest, which enables it to be flexible, adapt, process novel stimuli, and learn. Brain regions become differentially coordinated in response to cognitive task and behavior demands and external stimuli. However, abnormally synchronized resting brain networks may also be associated with different pathologies. We investigated baseline network dynamics in the epileptic brain using information theoretic parameters to quantify coupling and directionality of information flow between different cortical regions. We estimated relative entropy, conditional mutual information and a related measure of directional coupling, from EEGs of patients with epilepsy and healthy subjects. At rest, the healthy brain appears to be characterized by low and non-directional network coupling, whereas the epileptic brain appears to be transiently and directionally synchronized.
  • Keywords
    bioelectric phenomena; diseases; electroencephalography; information theory; neural nets; neurophysiology; EEG; abnormally synchronized resting brain networks; baseline network dynamics; baseline neurodynamics; conditional mutual information; cortical region coupling; directional coupling measure; information flow directionality; information theoretic parameters; normal brain function; relative entropy; resting epileptic brain network dynamics; weak network coupling; Biomedical imaging; Couplings; Electroencephalography; Entropy; Epilepsy; Mutual information; Synchronization; Algorithms; Brain; Case-Control Studies; Electroencephalography; Epilepsy; Humans; Nerve Net; Reproducibility of Results; Rest; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627212
  • Filename
    5627212