Estimation of effective and functional cortical connectivity from neuroelectric and hemodynamic recordings

Laura Astolfi, F. De Vico Fallani, F. Cincotti, D. Mattia, M. G. Marciani, S. Salinari, J. Sweeney, G. A. Miller, B. He, F. Babiloni

Research output: Contribution to journalArticle

Abstract

In this paper, different linear and nonlinear methodologies for the estimation of cortical connectivity from neuroelectric and hemodynamic measurements are reviewed and applied on common data set in order to highlight similarities and differences in the results. Different effective and functional connectivity methods were applied to motor and cognitive data sets, including structural equation modeling (SEM), directed transfer function (DTF), partial directed coherence (PDC), and direct directed transfer function (dDTF). Comparisons were made between the results in order to understand if, for a same dataset, effective and functional connectivity estimators can return the same cortical connectivity patterns. An application of a nonlinear method [phase synchronization index (PSI)] to similar executed and imagined movements was also reviewed. Connectivity patterns estimated with the use of the neuroelectric information and of the information from the multimodal integration of neuroelectric and hemodynamic data were also compared. Results suggests that the estimation of the cortical connectivity patterns performed with the linear methods (SEM, DTF, PDC, dDTF) or with the nonlinear method (PSI) on movement related potentials returned similar cortical networks. Differences in cortical connectivity were noted between the patterns estimated with the use of multimodal integration and those estimated by using only the neuroelectric data.

Original languageEnglish
Pages (from-to)224-233
Number of pages10
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume17
Issue number3
DOIs
Publication statusPublished - Jun 2009

Keywords

  • Directed transfer function (DTF)
  • Functional cortical connectivity
  • High-resolution EEG
  • Partial directed coherence (PDC)
  • Structural equation modeling (SEM)

ASJC Scopus subject areas

  • Neuroscience(all)
  • Computer Science Applications
  • Biomedical Engineering

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