Examples#

Examples demonstrating connectivity analysis in sensor and source space.

Comparing PLI, wPLI, and dPLI

Comparing PLI, wPLI, and dPLI

Comparing spectral connectivity computed over time or over trials

Comparing spectral connectivity computed over time or over trials

Comparison of coherency-based methods

Comparison of coherency-based methods

Compute Phase Slope Index (PSI) in source space for a visual stimulus

Compute Phase Slope Index (PSI) in source space for a visual stimulus

Compute all-to-all connectivity in sensor space

Compute all-to-all connectivity in sensor space

Compute coherence in source space using a MNE inverse solution

Compute coherence in source space using a MNE inverse solution

Compute directionality of connectivity with multivariate Granger causality

Compute directionality of connectivity with multivariate Granger causality

Compute envelope correlations in source space

Compute envelope correlations in source space

Compute envelope correlations in volume source space

Compute envelope correlations in volume source space

Compute full spectrum source space connectivity between labels

Compute full spectrum source space connectivity between labels

Compute mixed source space connectivity and visualize it using a circular graph

Compute mixed source space connectivity and visualize it using a circular graph

Compute multivariate coherency/coherence

Compute multivariate coherency/coherence

Compute multivariate measures of the imaginary part of coherency

Compute multivariate measures of the imaginary part of coherency

Compute seed-based time-frequency connectivity in sensor space

Compute seed-based time-frequency connectivity in sensor space

Compute source space connectivity and visualize it using a circular graph

Compute source space connectivity and visualize it using a circular graph

Using the connectivity classes

Using the connectivity classes

Working with ragged indices for multivariate connectivity

Working with ragged indices for multivariate connectivity

Dynamic Connectivity Examples#

Examples demonstrating connectivity analysis with dynamics. For example, this can be a vector auto-regressive model (also known as a linear dynamical system). These classes of models are generative and model the dynamics and evolution of the data.

Compute vector autoregressive model (linear system)

Compute vector autoregressive model (linear system)

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