2024
Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data
Li W, Lin Q, Zhang C, Han Y, Li H, Calhoun V. Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data. Journal Of Neuroscience Methods 2024, 409: 110207. PMID: 38944128, DOI: 10.1016/j.jneumeth.2024.110207.Peer-Reviewed Original ResearchConceptsComplex-valued fMRI dataMutual informationJoint entropyNetwork connectivityComplex-valued signalsFunctional network connectivityMagnitude-phase dependenceDensity estimation methodMI estimationHistogram-basedKernel density estimation methodFMRI dataEstimation accuracyProbability density functionJoint probability density functionSimulated signalsChain rulePhase dependenceEstimation methodHigh-orderDensity functionControl networkInaccurate estimationNonlinear dependenceDependence
2023
Higher-Order Organization in the Human Brain From Matrix-Based Rényi’s Entropy
Li Q, Yu S, Madsen K, Calhoun V, Iraji A. Higher-Order Organization in the Human Brain From Matrix-Based Rényi’s Entropy. 2023, 00: 1-5. DOI: 10.1109/icasspw59220.2023.10193346.Peer-Reviewed Original ResearchS-entropyHigher-order interactionsResting-state fMRI dataEstimate statistical dependenciesProbability distribution functionFMRI dataInformation processingHuman brainHigher-orderInformation interactionMutual informationMultivariate mutual informationTotal correlationOrderMultivariate time seriesInteractionHigher-order informationDependence