Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Oscillatory neuronal activity may provide a mechanism for dynamic network coordination.
Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own …

Abstract Background Wiener–Granger causality (“G-causality”) is a statistical notion of
causality applicable to time series data, whereby cause precedes, and helps predict, effect. It …

Granger causality methods were developed to analyze the flow of information between time
series. These methods have become more widely applied in neuroscience. Frequency …

Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

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 …

For decades, the main ways to study the effect of one part of the nervous system upon
another have been either to stimulate or lesion the first part and investigate the outcome in …

Assessing directed functional connectivity from time series data is a key challenge in
neuroscience. One approach to this problem leverages a combination of Granger causality …

The broad abundance of time series data, which is in sharp contrast to limited knowledge of
the underlying network dynamic processes that produce such observations, calls for a …