An open-source software tool enables the anatomical parcellation of an unprecedented number of subcortical structures in magnetic resonance images of the human brain, automatically and in individual subjects.
Connectivity network matrices, as estimated with masking or dual regression against group-level parcellations, reflect little or no unique cross-subject information that is not also captured by spatial topographical variability.
Openly available structural imaging processing pipeline for chimpanzees including registration templates and macro-anatomical parcellation shows human-like cerebral aging and medial hemispheric organization.
Humans showed the most widespread asymmetric connectivity between the inferior parietal lobule subregions and the rest of the brain compared to macaques and chimpanzees, which shapes hemispheric specialization in primates.
The estimation of functional connectivity network matrices from resting state fMRI is driven by a combination of spatial and temporal factors in the presence of spatially overlapping network structure.
In vivo quantitative analysis of multi-shell diffusion MRI reveals novel insights into microstructure of human insular cortex and its functional circuits associated with the salience network and cognitive control.