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
Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000)
Du Y, Guo Y, Calhoun V. Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000). Frontiers In Aging Neuroscience 2023, 15: 1159054. PMID: 37273655, PMCID: PMC10233064, DOI: 10.3389/fnagi.2023.1159054.Peer-Reviewed Original ResearchFunctional network connectivityWithin-network connectivityCognitive control networkFunctional networksIncreased within-network connectivityDecreased within-network connectivityWhole-brain functional networksControl networkReduced functional network connectivityBetween-network connectivityWhole-brain levelNon-pathological agingSub-cortical networksIndependent component analysisBrain functional networksMode networkAging-related changesSensorimotor networkNeuroimaging dataConnectivity declineVisual networkWhole-brainBrain agingAging brainEffects of age