A common coordinate space enabling comparison across individuals is vital to
understanding human brain organization and individual differences. By leveraging�…

Population-level inferences and individual-level analyses are two important aspects in
functional magnetic resonance imaging (fMRI) studies. Extracting reliable and informative�…

Population analyses of functional connectivity have provided a rich understanding of how
brain function differs across time, individual, and cognitive task. An important but challenging�…

Research into the human connectome (ie, all connections in the human brain) with the use
of resting state functional MRI has rapidly increased in popularity in recent years, especially�…

Aligning brain structures across individuals is a central prerequisite for comparative
neuroimaging studies. Typically, registration approaches assume a strong association�…

BOLD fMRI has been an established tool for studying the human brain's functional
organization. Considering the high dimensionality of fMRI data, various computational�…

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)�…

The goal of human brain mapping has long been to delineate the functional subunits in the
brain and elucidate the functional role of each of these brain regions. Recent work has�…

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�…

The connectome, a comprehensive map of the brain's anatomical connections, is often
summarized as a matrix comprising all dyadic connections among pairs of brain regions�…