Understanding complex systems such as the human brain requires characterization of the
system's architecture across multiple levels of organization–from neurons, to local circuits, to …

The brain is composed of disparate neural populations that communicate and interact with
one another. Although fiber bundles, similarities in molecular architecture, and synchronized …

Community detection algorithms have been widely used to study the organization of
complex networks like the brain. These techniques provide a partition of brain regions (or …

Characterizing the brain's anatomical and dynamical organization and how this enables it to
carry out complex tasks is highly non trivial. While there has long been strong evidence that …

The dynamics of spontaneous fluctuations in neural activity are shaped by underlying
patterns of anatomical connectivity. While numerous studies have demonstrated edge-wise …

The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …

The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …

The first two decades of functional mapping of the human brain were largely focused on the
localization of brain responses in relation to specific experimental manipulations (Bandettini …

One of the most remarkable features of the human brain is its ability to adapt rapidly and
efficiently to external task demands. Novel and non-routine tasks, for example, are …

Structurally segregated and functionally specialized regions of the human cerebral cortex
are interconnected by a dense network of cortico-cortical axonal pathways. By using …