In recent years, a whole-brain unbiased objective technique, known as voxel-based morphometry
(VBM), has been developed to characterise brain differences in vivo using structural …

Humans have a unique ability to learn more than one language — a skill that is thought to
be mediated by functional (rather than structural) plastic changes in the brain 1 . Here we …

Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical
and functional differences between healthy individuals and patients suffering a wide range of …

This article describes the use of Bayes factors for comparing dynamic causal models (DCMs).
DCMs are used to make inferences about effective connectivity from functional magnetic …

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research
and clinical studies of the human brain. However, no reference standards currently exist to …

There is a growing appreciation of the importance of nonlinearities in evoked responses in
fMRI, particularly with the advent of event-related fMRI. These nonlinearities are commonly …

Brain networks or ‘connectomes’ include a minority of highly connected hub nodes that are
functionally valuable, because their topological centrality supports integrative processing and …

The disconnection hypothesis suggests that the core symptoms of schizophrenia (SZ) are
related to aberrant, or ‘dys-’, connectivity between distinct brain regions. A proliferation of …

The morphology of the human cortex varies remarkably across individuals, regardless of
overall brain size. It is currently unclear whether related cortical regions covary in gray matter …

Deep learning (DL) is a family of machine learning methods that has gained considerable
attention in the scientific community, breaking benchmark records in areas such as speech …