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 …

Brain-wide association studies (BWAS)—which correlate individual differences in
phenotypic traits with measures of brain structure and function—have become a dominant …

Developmental cognitive neuroscience is being pulled in new directions by network science
and big data. Brain imaging [eg, functional magnetic resonance imaging (fMRI), functional …

There is significant interest in using neuroimaging data to predict behavior. The predictive
models are often interpreted by the computation of feature importance, which quantifies the …

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 …

Background Individual differences in functional brain connectivity can be used to predict
both the presence of psychiatric illness and variability in associated behaviors. However …

White matter tract microstructure has been shown to influence neuropsychological scores of
cognitive performance. However, prediction of these scores from white matter tract data has …

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

Sensitivity to pain shows a remarkable interindividual variance that has been reported to
both forecast and accompany various clinical pain conditions. Although pain thresholds …

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