Exploring directed functional connectivity based on electroencephalography source signals using a global cortex factor-based multivariate autoregressive model.

07:00 EST 25th February 2019 | BioPortfolio

Summary of "Exploring directed functional connectivity based on electroencephalography source signals using a global cortex factor-based multivariate autoregressive model."

Partial directed coherence (PDC) computed from multivariate autoregressive (MVAR) model coefficient is increasingly being used to study directed functional connectivity between brain regions in the frequency domain based on electroencephalography (EEG) source signals. However, directly fitting MVAR model to the high-dimensional source signals is difficult. Besides, although PDC measurement often shows good results for simulated data, it is not clear to what extent the results for real data are physiologically plausible.


Journal Details

This article was published in the following journal.

Name: Journal of neuroscience methods
ISSN: 1872-678X


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