Analytic Signal-Based Causal Network Estimator for Hemodynamic Signal Analysis in the Brain
Journal of the Korean Physical Society(2019)
摘要
The connectivity and the causality were estimated using functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy ( f -NIRS) signals to introduce an optimal networks analysis technique for hemodynamic signals. Instantaneous phase information was utilized to analyze the fMRI time series and the f -NIRS signals in order to estimate connectivity and causal networks in the brain. To identify an optimal estimator, the conducted computer-based Monte Carlo simulation using fMRI mimicking signals under various realistic conditions. The simulation results showed that the phase-information-based approach can be an optimal causal estimator for hemodynamic signals.
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关键词
Causality,Connectivity,fMRI,f-NIRS,Phase-locking value
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