Human functional magnetic resonance imaging (fMRI) brain networks have a complex topology comprising integrative components, eg long-distance inter-modular edges, that are …
Transcriptomic atlases have improved our understanding of the correlations between gene- expression patterns and spatially varying properties of brain structure and function. Gene …
Unravelling the complex events driving grade-specific spatial distribution of brain tumour occurrence requires rich datasets from both healthy individuals and patients. Here, we …
The pathological brain is characterized by distributed morphological or structural alterations in the grey matter, which tend to follow identifiable network-like patterns. We analysed the …
By means of a novel methodology that can statistically derive patterns of co‐alterations distribution from voxel‐based morphological data, this study analyzes the patterns of brain …
Figure 1| From multi-modal connectivity data to integrated connectomes. Image panels illustrating recent progress, selected and modified from contributions to the Research Topic …
The immense complexity of the mammalian brain is largely reflected in the underlying molecular signatures of its billions of cells. Brain transcriptome atlases provide valuable …
We explore the relationships between the cortex functional organization and genetic expression (as provided by the Allen Human Brain Atlas). Previous work suggests that …
Magnetic resonance (MR) images of the brain are of immense clinical and research utility. At the atomic and subatomic levels, the sources of MR signals are well understood. However …