A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …

Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …

Within the field of developmental cognitive neuroscience, there is an increasing interest in
studying individual differences in human brain development in order to predict mental health …

The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …

Typical brain development follows a protracted trajectory throughout childhood and
adolescence. Deviations from typical growth trajectories have been implicated in …

The transition from childhood to adulthood represents the developmental time frame in
which the majority of psychiatric disorders emerge. Recent efforts to identify risk factors …

This study examines the impact of sample size on predicting cognitive and mental health
phenotypes from brain imaging via machine learning. Our analysis shows a 3-to 9-fold …

Individual differences in brain functional organization track a range of traits, symptoms and
behaviours,,,,,,,,,,–. So far, work modelling linear brain–phenotype relationships has …

Brain development has largely been studied through unimodal analysis of neuroimaging
data, providing independent results for structural and functional data. However, structure …

Neuroimaging has greatly enhanced the cognitive neuroscience understanding of the
human brain and its variation across individuals (neurodiversity) in both health and disease …