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

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

Two ongoing movements in human cognitive neuroscience have researchers shifting focus
from group-level inferences to characterizing single subjects, and complementing tightly …

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 …

A major goal of human neuroscience is to relate differences in brain function to differences
in behavior across people. Recent work has established that whole-brain functional …

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 …

Can studying individual differences in brain structure and function reveal individual differences
in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest that the …

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 …

The large-scale organization of the brain has features of complex networks that can be
quantified using network measures from graph theory. However, many network measures were …

Naturalistic viewing paradigms such as movies have been shown to reduce participant head
motion and improve arousal during fMRI scanning relative to task-free rest, and have been …