Information flow between brain areas is difficult to estimate from EEG measurements due to the presence of noise as well as due to volume conduction. We here test the ability of popular measures of effective connectivity to detect an underlying neuronal interaction from simulated EEG data, as well as the ability of commonly used inverse source reconstruction techniques to improve the connectivity estimation. We find that volume conduction severely limits the neurophysiological interpretability of sensor-space connectivity analyses. Moreover, it may generally lead to conflicting results depending on the connectivity measure and statistical testing approach used. In particular, we note that the application of Granger-causal (GC) measures comb...
Item does not contain fulltextThe time- and frequency-varying dynamics of how brain regions interact...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
The time- and frequency-varying dynamics of how brain regions interact is one of the fundamental mys...
Information flow between brain areas is difficult to estimate from EEG measurements due to the prese...
Information flow between brain areas from EEG measurements is hard to estimate reliably due to the p...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
We consider the problem of estimating brain effective connectivity from electroencephalographic (EEG...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Using EEG to study brain connectivity seems to be something quite obvious, because EEG results from ...
The major problem in examining interactions between sources of brain activity from MEG and EEG data ...
Introduction: Aggregating statistical dependencies between multivariate time series is important to ...
Item does not contain fulltextThe time- and frequency-varying dynamics of how brain regions interact...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
The time- and frequency-varying dynamics of how brain regions interact is one of the fundamental mys...
Information flow between brain areas is difficult to estimate from EEG measurements due to the prese...
Information flow between brain areas from EEG measurements is hard to estimate reliably due to the p...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
We consider the problem of estimating brain effective connectivity from electroencephalographic (EEG...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
Using EEG to study brain connectivity seems to be something quite obvious, because EEG results from ...
The major problem in examining interactions between sources of brain activity from MEG and EEG data ...
Introduction: Aggregating statistical dependencies between multivariate time series is important to ...
Item does not contain fulltextThe time- and frequency-varying dynamics of how brain regions interact...
Many different analysis techniques have been developed and applied to EEG recordings that allow one ...
The time- and frequency-varying dynamics of how brain regions interact is one of the fundamental mys...