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) …

We propose a novel computational strategy to partition the cerebral cortex into disjoint,
spatially contiguous and functionally homogeneous parcels. The approach exploits spatial …

Resting-state fMRI is commonly used to derive brain parcellations, which are widely used for
dimensionality reduction and interpreting human neuroscience studies. We previously …

The cerebral cortex is anatomically organized at many physical scales starting at the level of
single neurons and extending up to functional systems. Current functional magnetic …

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 MRI is a powerful technique for mapping the functional organization
of the human brain. However, for many types of connectivity analysis, high-resolution …

Analysis and interpretation of neuroimaging data often require one to divide the brain into a
number of regions, or parcels, with homogeneous characteristics, be these regions defined …

Noninvasive parcellation of the human cerebral cortex is an important goal for
understanding and examining brain functions. Recently, the patterns of anatomical …

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 …

Cortical parcellation based on resting fMRI is an important tool for investigating the
functional organization and connectivity of the cerebral cortex. Group parcellation based on …