… In this review, we are particularly interested in how dMRI data are used to model neuronal
… This suggests that subject- or tract-specific optimization may dramatically improve accuracy. …

… neural processes through which early adversity exerts these effects remain largely unknown.
We used generative network modelling of the mouse connectome … used to optimise model …

… analysis looking at large-scale neural networks. This have … at the lower level is not as
optimized as at the cervical level (… Adding diffusion tensor imaging (DTI) to simultaneous fMRI or …

… To test the efficacy of WBM in revealing brain-wide neural … In this section, we optimized our
model using a combined … to reveal the large-scale spatiotemporal dynamics in the brain. We …

… Using this optimized protocol, unilateral inhibition of the premotor cortex … Large-scale,
multi-regional recording of neural activity … (DTI) study in 138 small and large human brains found a …

… The goal of this present work is to optimize MRH methods for … are dense with small stellate
neurons, interneurons, and glia … In vivo human brain DTI at submillimeter isotropic resolution (…

… data in mice and neural tracer data from the Allen Mouse Brain … the true mesoscale connectome
of the mouse brain. Furthermore, … of each brain graph was determined by optimizing the …

… In this dataset, the soma, dendrites, and axons of selected neurons labelled using low-titer …
The network can be extended to include dMRI data acquired using optimized parameters or …

… Curiously, modularity optimization also suffers from the problem of … A large-scale dynamical
model in the macroscopic scale in the … system defined by the connectome of the nematode C.…

… in MRI and related modalities like DTI and fMRI. For example, … -resolution sections from the
mouse brain with Nissl contrast (39), … tools for emerging large-scale neuroimaging datasets. …