NeuroImage 

TL;DR: A high-level overview of how tractography is used to enable quantitative analysis of the brain's structural connectivity in health and disease can be found in this paper , where the authors focus on two types of quantitative analyses of tractography, including: 1) tract-specific analysis that refers to research that is typically hypothesis-driven and studies particular anatomical fiber tracts, and 2) connectome-based analysis that generally studies the structural connectivity of the entire brain.

TL;DR: A review of electrophysiology connectomics can be found in this article , where the authors discuss how the field has been inspired by findings and approaches from functional magnetic resonance imaging (fMRI) and informed by a small number of significant multimodal empirical studies.

TL;DR: The Virtual Brain (TVB) as discussed by the authors is an open-source service for constructing, simulating and analysing brain network models including the TVB simulator; magnetic resonance imaging (MRI) processing pipelines to extract structural and functional brain networks; combined simulation of large-scale brain networks with small-scale spiking networks.

TL;DR: In this paper , a triaxial OPM formulation was used to characterise the full 3D neuromagnetic field vector for magnetoencephalography (MEG) in a 5-year-old.

TL;DR: Wang et al. as mentioned in this paper proposed a new dynamic graph convolutional network (dGCN), which is trained with sparse brain regional connections from dynamically calculated graph features, and also developed a novel CNN readout layer to improve graph representation.