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Intracranial EEG Evaluation of a Resting State Network

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study of brain networks is based, to a large extent, on pairwise measurements of relationships. Such pairwise relationships can be estimated from brain electrical activity measured from the scalp with routine EEG, from intracranial electrodes during monitoring for epilepsy surgery, or with functional MRI (fMRI) measurements. Here we focus on the study of brain networks through the measurement of pairwise relationships in brain electrical activity as measured by intracranial EEGs. Intracranial EEG data from 11 patients were tested for the presence of relationships which would confi rm or disconfi rm the presence of a resting state network which has previously been observed with fMRI. Mutual information was used as a measure of relationship.
Rocznik
Strony
27--29
Opis fizyczny
Bibliogr. 7 poz., tab., rys.
Twórcy
autor
  • Department of Electrical Engineering, Yale University, New Haven, Connecticut 06520, USA
  • Department of Neurology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
  • Department of Mathematics, Yale University, New Haven, Connecticut 06520, USA
autor
  • Department of Neurology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
Bibliografia
  • [1] Greicius, M.D., et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. PNAS 100, 2003: 253–258.
  • [2] Fox, M.D., et al. Th e global signal and observed anticorrelated resting state brain networks. Journal of Neurophysiology 101, 2009: 3270–3283.
  • [3] Skudlarski, P., et al. Measuring brain connectivity: Diff usion tensor imaging validates resting state temporal correlations. Neuroimage 43, 2008: 554–561.
  • [4] Mantini, D., et al. Electrophysiological signatures of resting state networks in the human brain. PNAS 104, 2007: 13170–13175.
  • [5] Olbrich, S., et al. Eeg-vigilance and bold eff ect during simultaneous eeg/fmri measurement. Neuroimage 45, 2009: 319–332.
  • [6] Abramson, N. Information Th eory and Coding. McGraw-Hill Education, 1963.
  • [7] Gallager, R.G. Information Th eory and Reliable Communication. John Wiley and Sons, INC, 1968.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1d1a0c6f-89c3-47b7-83cc-c89c020ebd59
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