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 …
Introduction Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited clinical impact. A key challenge is building …
Brain-wide association studies (BWAS)—which correlate individual differences in phenotypic traits with measures of brain structure and function—have become a dominant …
Inference in neuroimaging typically occurs at the level of focal brain areas or circuits. Yet, increasingly, well-powered studies paint a much richer picture of broad-scale effects …
Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying …
The field of network neuroscience has emerged as a natural framework for the study of the brain and has been increasingly applied across divergent problems in neuroscience. From a …
Autism is a heterogeneous neurodevelopmental condition, and functional magnetic resonance imaging–based studies have helped advance our understanding of its effects on …
Individual differences in brain anatomy can be used to predict variations in cognitive ability. Most studies to date have focused on broad population-level trends, but the extent to which …
Current major efforts in human neuroimaging research aim to understand individual differences and identify biomarkers for clinical applications. One particularly promising …