We consider between-subject variance in brain function as data rather than noise. We
describe variability as a natural output of a noisy plastic system (the brain) where each …

Attention-deficit/hyperactivity disorder (ADHD) has long been thought to reflect dysfunction
of prefrontal–striatal circuitry, with involvement of other circuits largely ignored. Recent …

The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD)
are not well understood. Using a large neuroimaging dataset, we identified three latent …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

We propose and empirically support a parsimonious account of intrinsic, brain-wide
spatiotemporal organization arising from traveling waves linked to arousal. We hypothesize …

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) …

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

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 connectivity is used throughout neuroscience to study brain
organization and to generate biomarkers of development, disease, and cognition. The …

Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe
human brain function during task state and resting state. However, the existing analysis …