Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Large-scale dynamics of the brain are routinely modelled using systems of nonlinear
dynamical equations that describe the evolution of population-level activity, with distinct …

Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to
understand the macro-connectome of the human brain. However, these fluctuations are not …

The blood-oxygenation level dependent (BOLD) functional magnetic resonance imaging
(fMRI) signal is commonly used to assess functional connectivity across brain regions …

One of the most controversial practices in resting-state fMRI functional connectivity studies is
whether or not to regress out the global average brain signal (GS) during artifact removal …

The functional network approach, where fMRI BOLD time series are mapped to networks
depicting functional relationships between brain areas, has opened new insights into the …

Ongoing fluctuations of brain activity measured by functional magnetic resonance imaging
(fMRI) provide a novel window onto the organizational principles of brain function. Advances …

When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …

Analyzing functional magnetic resonance imaging (fMRI) time courses with dynamic
approaches has generated a great deal of interest because of the additional temporal …

The last 15 years have witnessed a steady increase in the number of resting-state functional
neuroimaging studies. The connectivity patterns of multiple functional, distributed, large …