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Increasing fMRI Sampling Rate Improves Granger Causality Estimates
2014
PLoS ONE
Estimation of causal interactions between brain areas is necessary for elucidating large-scale functional brain networks underlying behavior and cognition. Granger causality analysis of time series data can quantitatively estimate directional information flow between brain regions. Here, we show that such estimates are significantly improved when the temporal sampling rate of functional magnetic resonance imaging (fMRI) is increased 20-fold. Specifically, healthy volunteers performed a simple
doi:10.1371/journal.pone.0100319
pmid:24968356
pmcid:PMC4072680
fatcat:knrv7shz5nazpmplzfj2u2cqry