The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …

Brain signatures of functional activity have shown promising results in both decoding brain
states, meaning distinguishing between different tasks, and fingerprinting, that is identifying …

Individual differences in brain anatomy can be used to predict variations in cognitive ability.
Most studies to date have focused on broad population-level trends, but the extent to which …

The relationship between structural and functional brain networks has been characterised
as complex: the two networks mirror each other and show mutual influence but they also …

Little is known about how exposure to limited socioeconomic resources (SER) in childhood
gets “under the skin” to shape brain development, especially using rigorous whole-brain …

An increasing number of studies have investigated the relationships between inter-
individual variability in brain regions' connectivity and behavioral phenotypes, making use of …

Functional connectivity studies increasingly turn to machine learning methods, which
typically involve fitting a connectome-wide classifier, then conducting post hoc interpretation …

In older adults without dementia, White Matter Hyperintensities (WMH) in MRI have been
shown to be highly associated with cerebral amyloid deposition, measured by the Pittsburgh …

Graph theory has been used in cognitive neuroscience to understand how organisational
properties of structural and functional brain networks relate to cognitive function. Graph …

To learn multiscale functional connectivity patterns of the aging brain, we built a brain age
prediction model of functional connectivity measures at seven scales on a large fMRI …