… -based nonlinear SVARM to estimate the effective brain connectivity from per-ROI time series.
… that collects Lagrange multipliers corresponding to the equality constraints in (18), 〈P, Q〉 …

… in connectivity are constrained by the prior belief that there are transitions among a small
number of brain connectivity states, while connectivity … hidden Markov model that the brain is in …

… of brain connectivity and activity 11 , but precisely how spatiotemporal patterns of neural
dynamics are constrained … , structural constraints on system dynamics can be understood via the …

… Using these data, the effective connectivity of the default mode network (DMN) in patients …
with healthy controls was investigated using spectral dynamic causal modeling (spDCM) of …

… efficient way to overcome these issues. In previous work [17] and [21], they both constrained
the brain … of different ROIs in their spatial-temporal modeling work [25]. We borrow the …

… connectivity, including the most commonly used structural and functional MRI, EEG, MEG and
… -invasive brain stimulation techniques and measures of local and global brain connectivity. …

… (EEG) is widely used to study functional and effective brain connectivity. Yet, there is currently
a … We here only consider linear interaction using autoregressive models. To demonstrate …

… information to constrain inference on directed functional … representations of whole-brain
connectivity patterns. While … Next, we aimed to study effective connectivity during the resting …

… when and where the brain network may be the most … Among other factors, our results may
also be constrained by the … underlying model is derived using multivariate autoregression (…

… of whole-brain connectivity analyses in a network with over 200 … the effective connectivity
pattern in a realistic whole-brain … as inferred using rDCM when embedded sparsity constraints …