In this paper, we present a groupwise graph-theory-based parcellation approach to define
nodes for network analysis. The application of network-theory-based analysis to extend the …

Functional magnetic resonance imaging (fMRI) studies typically collapse data from many
subjects, but brain functional organization varies between individuals. Here we establish that …

Neuroimaging is a fast-developing research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …

While neuroimaging studies typically collapse data from many subjects, brain functional
organization varies between individuals, and characterizing this variability is crucial for relating …

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 …

Although attention plays a ubiquitous role in perception and cognition, researchers lack a
simple way to measure a person's overall attentional abilities. Because behavioral measures …

Best practices are currently being developed for the acquisition and processing of resting-state
magnetic resonance imaging data used to estimate brain functional organization—or “…

Background Functional connectivity analyses of functional magnetic resonance imaging data
are a powerful tool for characterizing brain networks and how they are disrupted in neural …

Establishing brain-behavior associations that map brain organization to phenotypic measures
and generalize to novel individuals remains a challenge in neuroimaging. Predictive …

Individual differences in brain functional organization track a range of traits, symptoms and
behaviours 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 – 12 . So far, work modelling linear brain–…