Functional connectomes computed from fMRI provide a means to characterize individual
differences in the patterns of BOLD synchronization across regions of the entire brain. Using …

Studies comparing diverse groups have shown that many psychiatric diseases involve
disruptions across distributed large-scale networks of the brain. There is hope that functional …

Over the past decade extensive research has examined the segregation of the human brain
into large-scale functional networks. The resulting network maps, ie parcellations, are now …

Computational phenotyping has emerged as a powerful tool for characterizing individual
variability across a variety of cognitive domains. An individual's computational phenotype is …

Examination of large-scale distributed networks within the individual reveals details of
cortical network organization that are absent in group-averaged studies. One recent …

Human neuroscience has always been pushing the boundary of what is measurable. During
the last decade, concerns about statistical power and replicability–in science in general, but …

The human default mode network (DMN) is implicated in several unique mental capacities.
In this study, we tested whether brain-wide interregional communication in the DMN can be …

The preprocessing pipelines of the Human Connectome Project (HCP) were made publicly
available for the neuroimaging community to apply the HCP analytic approach to data from …

The amygdala is central to the pathophysiology of many psychiatric illnesses. An imprecise
understanding of how the amygdala fits into the larger network organization of the human …

Human cortex is patterned by a complex and interdigitated web of large-scale functional
networks. Recent methodological breakthroughs reveal variation in the size, shape, and …