The problem of the definition and evaluation of brain connectivity has become a central one in neuroscience during the latest years, as a way to understand the organization and interaction of cortical areas during the execution of cognitive or motor tasks. Among various methods established during the years, the Partial Directed Coherence (PDC) is a frequency-domain approach to this problem, based on a multivariate autoregressive modeling of time series and on the concept of Granger causality. In this paper we propose the use of the PDC method on cortical signals estimated from high resolution EEG recordings, a non invasive method which exhibits a higher spatial resolution than conventional cerebral electromagnetic measures. The principle contributions of this work are the results of a simulation study, testing the performances of PDC, and a statistical analysis (via the ANOVA, analysis of variance) of the influence of different levels of Signal to Noise Ratio and temporal length, as they have been systematically imposed on simulated signals. An application to high resolution EEG recordings during a foot movement is also presented.
Causality estimates among brain cortical areas by Partial Directed Coherence: simulations and application to real data / Astolfi, Laura; Cincotti, Febo; D., Mattia; M., Lai; DE VICO FALLANI, Fabrizio; Salinari, Serenella; L. A., Baccala'; M., Ursino; M., Zavaglia; Babiloni, Fabio. - In: INTERNATIONAL JOURNAL OF BIOELECTROMAGNETISM. - ISSN 1456-7857. - STAMPA. - 7:1(2005), pp. 62-65.
Causality estimates among brain cortical areas by Partial Directed Coherence: simulations and application to real data
ASTOLFI, LAURA;CINCOTTI, FEBO
;DE VICO FALLANI, FABRIZIO;SALINARI, Serenella;BABILONI, Fabio
2005
Abstract
The problem of the definition and evaluation of brain connectivity has become a central one in neuroscience during the latest years, as a way to understand the organization and interaction of cortical areas during the execution of cognitive or motor tasks. Among various methods established during the years, the Partial Directed Coherence (PDC) is a frequency-domain approach to this problem, based on a multivariate autoregressive modeling of time series and on the concept of Granger causality. In this paper we propose the use of the PDC method on cortical signals estimated from high resolution EEG recordings, a non invasive method which exhibits a higher spatial resolution than conventional cerebral electromagnetic measures. The principle contributions of this work are the results of a simulation study, testing the performances of PDC, and a statistical analysis (via the ANOVA, analysis of variance) of the influence of different levels of Signal to Noise Ratio and temporal length, as they have been systematically imposed on simulated signals. An application to high resolution EEG recordings during a foot movement is also presented.File | Dimensione | Formato | |
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