A key principle of brain organization is the functional integration of brain regions into
interconnected networks. Functional MRI scans acquired at rest offer insights into functional …

The spatial distribution of large-scale functional networks on the cerebral cortex differs
between individuals and is particularly variable in association networks that are responsible …

Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and
macro-scale properties of brain organization that shape complex patterns of spontaneous …

The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …

Resting-state functional magnetic resonance imaging (fMRI) is widely used in cognitive and
clinical neuroscience, but long-duration scans are currently needed to reliably characterize …

Abstract Machine learning techniques have gained prominence for the analysis of resting-
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …

There is significant interest in the development and application of deep neural networks
(DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their …

Association cortex is organized into large-scale distributed networks. One such network, the
default network (DN), is linked to diverse forms of internal mentation, opening debate about …

Using procedures optimized to explore network organization within the individual, the
topography of a candidate language network was characterized and situated within the …

Gradient mapping is an important technique to summarize high dimensional biological
features as low dimensional manifold representations in exploring brain structure-function …