The role of nonlinearity in computing graph-theoretical properties of resting-state functional magnetic resonance imaging brain networks.
In recent years, there has been an increasing interest in the study of large-scale brain activity interaction structure from the perspective of complex networks, based on functional magnetic resonance imaging (fMRI) measurements. To assess the strength of interaction (functional connectivity, FC) between two brain regions, the linear (Pearson) correlation coefficient of the respective time series is most commonly used. Since a potential use of nonlinear FC measures has recently been discussed...Expand abstract
- Publisher copy:
- Pubs id:
- Local pid:
- Deposit date:
- Copyright date:
If you are the owner of this record, you can report an update to it here: Report update to this record