Investigating directed phase couplings from multivariate EEG/MEG time series
Add to your list(s)
Download to your calendar using vCal
If you have a question about this talk, please contact Johan Carlin.
Recent works suggest that the use of bivariate methods to analyse EEG /MEG time series is suboptimal when functional connectivity is the target. Indeed, the application of dimensionality reduction approaches to multivariate time series, such as parcel signals, unavoidably leads to discard a large part of the information. In my talk I will present a computational method called Multivariate Phase Slope Index. This method allows to directly investigate the directionality of functional interactions between brain regions from multivariate EEG /MEG time series.
This talk is part of the Imagers Interest Group series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|