Descriptive neural network analyses have provided important insights into the organization
of structural and functional networks in the human brain. However, these analyses have …

A Bayesian model for sparse, hierarchical, inver-covariance estimation is presented, and
applied to multi-subject functional connectivity estimation in the human brain. It enables …

Functional connectivity concerns the correlated activity between neuronal populations in
spatially segregated regions of the brain, which may be studied using functional magnetic …

Functional complex networks have meant a pivotal change in the way we understand
complex systems, being the most outstanding one the human brain. These networks have …

Our understanding of the wiring map of the brain, known as the connectome, has increased
greatly in the last decade, mostly due to technological advancements in neuroimaging …

Alzheimer's disease (AD) is the most common form of dementia. In Australia the prevalence
of dementia is set to increase from over 400,000 individuals in 2016 to over 1.1 million by …

We have proposed a Bayesian approach for functional parcellation of whole-brain FMRI
measurements which we call Clustered Activity Estimation with Spatial Adjacency …

The recent developments in resonance imaging technologies have allowed growing access
to a wide variety of complex information on brain functioning. Regardless of the several …

The degeneration of the cerebral cortex is a complex process which often spans decades.
This degeneration can be evaluated on regions of interest (ROI) in the brain through …

The human brain is arguably one of the most interesting systems around. Its sheer
complexity is awe-inspiring, as it consists of roughly 86 billion neurons [Herculano-Houzel …