A major goal of neuroimaging studies is to develop predictive models to analyze the
relationship between whole brain functional connectivity patterns and behavioural traits …

Graphs representing complex systems often share a partial underlying structure across
domains while retaining individual features. Thus, identifying common structures can shed …

Network connectivity fingerprints are among today's best choices to obtain a faithful
sampling of an individual's brain and cognition. Widely available MRI scanners can provide …

Over one third of the estimated 3 million people with epilepsy in the United States are
medication resistant. Responsive neurostimulation from chronically implanted electrodes …

Fusing structural-functional images of the brain has shown great potential to analyze the
deterioration of Alzheimer's disease (AD). However, it is a big challenge to effectively fuse …

Brain functional networks (BFNs) constructed from resting-state functional magnetic
resonance imaging (rs-fMRI) have been widely applied to the analysis and diagnosis of …

Along with the study of brain activity evoked by external stimuli, the past two decades
witnessed an increased interest in characterizing the spontaneous brain activity occurring …

Recent work has highlighted the scale and ubiquity of subject variability in observations from
functional MRI data (fMRI). Furthermore, it is highly likely that errors in the estimation of …

Abstract Changes in brain structure are associated with aging, and accompanied by the
gradual deterioration of cognitive functions, which manifests differently in males and …

Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is
pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs …