Examples#
Examples demonstrating connectivity analysis in sensor and source space.
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Comparing spectral connectivity computed over time or over trials
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Compute Phase Slope Index (PSI) in source space for a visual stimulus
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Compute coherence in source space using a MNE inverse solution
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Compute directionality of connectivity with multivariate Granger causality
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Compute envelope correlations in volume source space
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Compute full spectrum source space connectivity between labels
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Compute mixed source space connectivity and visualize it using a circular graph
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Compute multivariate measures of the imaginary part of coherency
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Compute seed-based time-frequency connectivity in sensor space
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Compute source space connectivity and visualize it using a circular graph
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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.
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Compute vector autoregressive model (linear system)