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 …

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated mapping of abilities to specific structures (for example, lesion …

Abstract Machine learning is a powerful tool for creating computational models relating brain
function to behavior, and its use is becoming widespread in neuroscience. However, these …

When asked to perform the same task, different individuals exhibit markedly different
patterns of brain activity. This variability is often attributed to volatile factors, such as task …

Recent work has begun to relate individual differences in brain functional organization to
human behaviors and cognition, but the best brain state to reveal such relationships remains …

Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …

Perhaps one of the greatest scientific challenges is to understand the human brain. Here we
review current methods in human neuroscience, highlighting the ways that they have been …

In a recent issue of Nature, Marek et al.(2022) demonstrate that cross-sectional brain-
behavior correlations are often small and unreliable without large samples. This observation …

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 …

Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure
and function of the human brain, as well as its behavioral associations. However, to date, a …