Algorithmic biases that favor majority populations pose a key challenge to the application of
machine learning for precision medicine. Here, we assessed such bias in prediction models …

The transition from childhood to adolescence is marked by pronounced shifts in brain
structure and function that coincide with the development of physical, cognitive, and social …

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

Magnetic resonance imaging (MRI) continues to drive many important neuroscientific
advances. However, progress in uncovering reproducible associations between individual …

Cognitive performance can be predicted from an individual's functional brain connectivity
with modest accuracy using machine learning approaches. As yet, however, predictive …

A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …

Human childhood is characterized by dramatic changes in the mind and brain. However,
little is known about the large-scale intrinsic cortical network changes that occur during …

Neural substrates of “mind wandering” have been widely reported, yet experiments have
varied in their contexts and their definitions of this psychological phenomenon, limiting …

Abstract The Adolescent Brain Cognitive Development Study (ABCD), a 10 year longitudinal
neuroimaging study of the largest population based and demographically distributed cohort …

Decision-making is a cognitive process of central importance for the quality of our lives.
Here, we ask whether a common factor underpins our diverse decision-making abilities. We …