Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous
methodological advances have also occurred, though inertia has slowed their adoption. This�…

To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in�…

Abstract The Human Connectome Project (HCP) faces the challenging task of bringing
multiple magnetic resonance imaging (MRI) modalities together in a common automated�…

Image segmentation is an important task in many medical applications. Methods based on
convolutional neural networks attain state-of-the-art accuracy; however, they typically rely on�…

The primary goal of the Human Connectome Project (HCP) is to delineate the typical
patterns of structural and functional connectivity in the healthy adult human brain. However�…

Resting state functional MRI (fMRI) has enabled description of group-level functional brain
organization at multiple spatial scales. However, cross-subject averaging may obscure�…

The fact that people think or behave differently from one another is rooted in individual
differences in brain anatomy and connectivity. Here, we used repeated-measurement�…

For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to�…

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

A critical issue in many neuroimaging studies is the comparison between brain maps.
Nonetheless, it remains unclear how one should test hypotheses focused on the overlap or�…