Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

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 …

Autism is a heterogeneous neurodevelopmental condition, and functional magnetic
resonance imaging–based studies have helped advance our understanding of its effects on …

In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …

Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …

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

Resting-state functional connectivity is typically modeled as the correlation structure of
whole-brain regional activity. It is studied widely, both to gain insight into the brain's intrinsic …

Abstract Language and theory of mind (ToM) are the cognitive capacities that allow for the
successful interpretation and expression of meaning. While functional MRI investigations are …

Individual characterization of subjects based on their functional connectome (FC), termed
“FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience …

Current major efforts in human neuroimaging research aim to understand individual
differences and identify biomarkers for clinical applications. One particularly promising …