Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …

There is great interest in estimating brain “networks” from FMRI data. This is often attempted
by identifying a set of functional “nodes”(eg, spatial ROIs or ICA maps) and then conducting …

BACKGROUND: Most neuroimaging studies of resting state networks have concentrated on
functional connectivity (FC) based on instantaneous correlation in a single network. In this …

Segregation of information flow along a dorsally directed pathway for processing object
location and a ventrally directed pathway for processing object identity is well established in …

Purpose Mesial temporal lobe epilepsy (mTLE) is a chronic disorder with spontaneous
seizures recurring for years, or even decades. Many structural and functional changes have …

Granger causality model (GCM) derived from multivariate vector autoregressive models of
data has been employed to identify effective connectivity in the human brain with functional …

Functional magnetic resonance imaging (fMRI) garners insight into brain functionality using
a non-invasive imaging technique that capitalises on the coupling between neuronal activity …

An econometric autoregressive modelling-based technique, Granger analysis, has
increasingly been used for measuring causal connections between brain regions in …

An autoregressive modelling-based technique, Granger analysis, has increasingly been
used for measuring causal connections between brain regions in fundamental magnetic …

Epilepsy is a chronic condition characterized by recurrent unprovoked seizures with
potentially disabling effects. These seizures, even when generated from a single focus, are …