The development of human cognition results from the emergence of coordinated activity
between distant brain areas. Network science, combined with non-invasive functional …

Understanding typical, healthy brain development provides a baseline from which to detect
and characterize brain anomalies associated with various neurological or psychiatric …

Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …

Data quality is increasingly recognized as one of the most important confounding factors in
brain imaging research. It is particularly important for studies of brain development, where …

The human brain is organized into large-scale functional modules that have been shown to
evolve in childhood and adolescence. However, it remains unknown whether the underlying …

Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Diffusion MRI data can be affected by hardware and subject-related artefacts that can
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …

The macroscale connectome is the network of physical, white-matter tracts between brain
areas. The connections are generally weighted and their values interpreted as measures of …

A growing number of studies have used stylized network models of communication to predict
brain function from structure. Most have focused on a small set of models applied globally …

Importance Low socioeconomic status (L-SES) and the experience of traumatic stressful
events (TSEs) are environmental factors implicated in behavioral deficits, abnormalities in …