Graph theoretical analysis of neuroimaging data is growing rapidly and could potentially
provide a relatively simple but powerful quantitative framework to describe and compare …

For several years it has been argued that neural synchronisation is crucial for cognition. The
idea that synchronised temporal patterns between different neural groups carries …

MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

Ambiguities in the source reconstruction of magnetoencephalographic (MEG)
measurements can cause spurious correlations between estimated source time-courses. In …

This new edition provides an accessible guide to advances in neuroscience research and
what they reveal about intelligence. Compelling evidence shows that genetics plays a major …

Recent years have shown the critical importance of inter-regional neural network
connectivity in supporting healthy brain function. Such connectivity is measurable using …

It is well known that most brain disorders are complex diseases, such as Alzheimer's
disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can …

The human brain can be divided into multiple areas, each responsible for different aspects
of behaviour. Healthy brain function relies upon efficient connectivity between these areas …

Spontaneous brain activity at rest is spatially and temporally organized in networks of
cortical and subcortical regions specialized for different functional domains. Even though …

The characterisation of dynamic electrophysiological brain networks, which form and
dissolve in order to support ongoing cognitive function, is one of the most important goals in …