2021
Identifying brain networks in synaptic density PET (11C-UCB-J) with independent component analysis
Fang XT, Toyonaga T, Hillmer AT, Matuskey D, Holmes SE, Radhakrishnan R, Mecca AP, van Dyck CH, D’Souza D, Esterlis I, Worhunsky PD, Carson RE. Identifying brain networks in synaptic density PET (11C-UCB-J) with independent component analysis. NeuroImage 2021, 237: 118167. PMID: 34000404, PMCID: PMC8452380, DOI: 10.1016/j.neuroimage.2021.118167.Peer-Reviewed Original ResearchConceptsSynaptic densityResting-state functional magnetic resonance imagingSynaptic vesicle protein 2ALevel-dependent signal fluctuationsBrain networksFunctional magnetic resonance imagingMagnetic resonance imagingAge-related changesHealthy controlsResonance imagingRs-fMRIEffects of sexProtein 2AMultiple comparisonsHuman brainAgePotential utilitySexFirst evidenceCovariance patterns
2020
Accuracy of arterial [18F]-Fluorodeoxyglucose uptake quantification: A kinetic modeling study
Toczek J, Wu J, Hillmer AT, Han J, Esterlis I, Cosgrove KP, Liu C, Sadeghi MM. Accuracy of arterial [18F]-Fluorodeoxyglucose uptake quantification: A kinetic modeling study. Journal Of Nuclear Cardiology 2020, 27: 1578-1581. PMID: 32043239, PMCID: PMC7415600, DOI: 10.1007/s12350-020-02055-x.Peer-Reviewed Original ResearchMeSH KeywordsAdultAortaFluorodeoxyglucose F18HumansMiddle AgedPositron-Emission TomographyRadiopharmaceuticalsReproducibility of ResultsConceptsMean SUVmaxMean TBRmaxFDG signalAortic wallMaximal standardized uptake valueD-glucose (FDG) PETVessel wall inflammationStandardized uptake valueActivity ex vivoPET imaging agentVascular inflammationWall inflammationRecent guidelinesBlood ratioCardiovascular diseasePrior historyPlasma activityTracer uptakeUptake valueSUVmaxTBRmaxEx vivoArterial wallVascular imagingFDG