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A state-space model of cross-region dynamic connectivity in MEG/EEG

NeurIPS 2016 · Probabilistic and scientific modeling › Dynamical systems · approach: Functional connectivity modeling · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
one-step state-space model instead of two-step MNE then AR fitdynamic connectivity estimation (A_t and Q) · Simulated MEG, a=2 and a=5relative estimation error of A_t and QHelped
time-varying (vs. static) AR coefficients in state-space modeldynamic connectivity in scene-processing MEG · Real MEG scene processing, one participantsignificant lagged dependence between EVC and PPANo clear effect
one-step state-space model vs two-step MNE on real MEG dataEVC-PPA lagged dependence · Real MEG scene processing, 362 imagesplausibility of early significant clustersMixed

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