Obsessive–compulsive disorder (OCD) is a spectrum disorder with high interindividual
heterogeneity. We propose a comprehensible framework integrating normative model and …

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 …

Functional resonance magnetic imaging (fMRI) technology has been widely used in
understanding cognition and behavior by characterizing the functional interaction between …

Sparse learning methods have been powerful tools for learning compact representations of
functional brain networks consisting of a set of brain network nodes and a connectivity matrix …

Multivariate analysis approaches provide insights into the identification of phenotype
associations in brain connectome data. In recent years, deep learning methods including …

Autism spectrum disorder (ASD) and Attention-deficit/hyperactivity disorder (ADHD) are two
typical neurodevelopmental disorders that have a long-term impact on physical and mental …

Personalized functional connectivity mapping has been demonstrated to be promising in
identifying underlying neurophysiological basis for brain disorders and treatment effects …

The brain is organized into a broad set of functional neural networks. These networks and
their various characteristics have been described and scrutinized through in vivo resting …

Individual differences in cognition during childhood are associated with important social,
physical, and mental health outcomes in adolescence and adulthood. Given that cortical …

A major goal of large-scale brain imaging datasets is to provide resources for investigating
heterogeneous populations. Characterisation of functional brain networks for individual …