… We repeated the simulation to test whether CURBD is effective when the brain regions are …
We deconvolved the ΔF/F trace per neuron using the constrained AR-1 OASIS method44. We …

… with depression severity were also conserved across sessions and … into patients and
neurotypical subjects, we examined (across participants) variation of effective connectivity with …

… that zero-lag FC methods effectively captured much of their … in better constraining generative
models of brain activity, … a first-order multivariate autoregression model—that is, VAR(…

… about its effectiveness for studying brain connectivity, as … crucial to study brain connectivity;
similar conclusions are … ) in each voxel using constrained spherical deconvolution (37), …

… Broadly, establishing an effective whole- brain modeling … Jirsa et al. show that personalized
whole-brain modeling can … Patient-specific brain connectivity is integrated to model empirical …

… and cannot be acquired postoperatively (without substantial constraints). This is especially
relevant in … We show that optimal connectivity profiles that were associated with good clinical …

… -field model (MFM) optimized using the same algorithm as pMFM, but with model parameters
constrained to be the same across … led to the successful transition of the FCD into a more …

… constrained to be uniform across regions, so we consider this BEI … BEI model to adjust the
strength of effective coupling in the … It has also been called global brain connectivity in previous …

… The multi-layer labels constituted efficient representations of connectivity information per
voxel, allowing software also developed in this work to rapidly integrate information …

… We found that constraining reservoir connectivity of ESNs with real connectomes led to
performances as good as for the random conditions, classically used for ESNs, as long as a …