The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …

A key principle of brain organization is the functional integration of brain regions into
interconnected networks. Functional MRI scans acquired at rest offer insights into functional …

A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across
groups, which limits the detail, specificity, and clinical utility of fMRI resting-state functional …

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …

We investigated the relationship between individual subjects' functional connectomes and
280 behavioral and demographic measures in a single holistic multivariate analysis relating …

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

In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical
sensitivity and spatial localisation of group studies, and cortical surface-based alignment …

The human brain is organized into large-scale networks identifiable using resting-state
functional connectivity (RSFC). These functional networks correspond with broad cognitive …