2023
Evaluating infusion methods and simplified quantification of synaptic density in vivo with [11C]UCB-J and [18F]SynVesT-1 PET
Asch R, Naganawa M, Nabulsi N, Huan Y, Esterlis I, Carson R. Evaluating infusion methods and simplified quantification of synaptic density in vivo with [11C]UCB-J and [18F]SynVesT-1 PET. Cerebrovascular And Brain Metabolism Reviews 2023, 43: 2120-2129. PMID: 37669455, PMCID: PMC10925870, DOI: 10.1177/0271678x231200423.Peer-Reviewed Original Research
2021
Effect of age on brain metabotropic glutamate receptor subtype 5 measured with [18F]FPEB PET
Mecca AP, Rogers K, Jacobs Z, McDonald JW, Michalak HR, DellaGioia N, Zhao W, Hillmer AT, Nabulsi N, Lim K, Ropchan J, Huang Y, Matuskey D, Esterlis I, Carson RE, van Dyck CH. Effect of age on brain metabotropic glutamate receptor subtype 5 measured with [18F]FPEB PET. NeuroImage 2021, 238: 118217. PMID: 34052464, PMCID: PMC8378132, DOI: 10.1016/j.neuroimage.2021.118217.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAgingBrain ChemistryFemaleFluorine RadioisotopesFluorodeoxyglucose F18Gray MatterHippocampusHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingOrgan SizePositron-Emission TomographyRadiopharmaceuticalsReceptor, Metabotropic Glutamate 5Young AdultConceptsMetabotropic glutamate receptor subtype 5MGluR5 availabilityMultiple brain regionsTissue lossSubtype 5Association cortexPrimary analysisBrain regionsAge-related molecular changesBrain glutamatergic systemBrain tissue lossNon-significant trendPartial volume correctionPositron emission tomographyBrain mGluR5Effect of ageAge-related declineGlutamatergic systemInverse associationTissue alterationsDistribution volumeEmission tomographyOlder ageCognitive functionExploratory analysisIdentifying 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 patternsPET Imaging Estimates of Regional Acetylcholine Concentration Variation in Living Human Brain
Smart K, Naganawa M, Baldassarri SR, Nabulsi N, Ropchan J, Najafzadeh S, Gao H, Navarro A, Barth V, Esterlis I, Cosgrove KP, Huang Y, Carson RE, Hillmer AT. PET Imaging Estimates of Regional Acetylcholine Concentration Variation in Living Human Brain. Cerebral Cortex 2021, 31: 2787-2798. PMID: 33442731, PMCID: PMC8355478, DOI: 10.1093/cercor/bhaa387.Peer-Reviewed Original ResearchConceptsACh concentrationHuman volunteersHigh ACh concentrationsMuscarinic antagonist scopolamineHealthy human volunteersHuman brainCholinergic receptorsNicotine challengeAntagonist scopolaminePreclinical studiesStriatal regionsPET scansEndogenous neurotransmittersNeuropsychiatric diseasesNonhuman primatesWhole-brain imagesDrug occupancyNicotinic ligandsClinical populationsBrainAcetylcholineDistinct functional rolesStriatumVolunteersFunctional role
2020
PTSD is associated with neuroimmune suppression: evidence from PET imaging and postmortem transcriptomic studies
Bhatt S, Hillmer AT, Girgenti MJ, Rusowicz A, Kapinos M, Nabulsi N, Huang Y, Matuskey D, Angarita GA, Esterlis I, Davis MT, Southwick SM, Friedman MJ, Duman R, Carson R, Krystal J, Pietrzak R, Cosgrove K. PTSD is associated with neuroimmune suppression: evidence from PET imaging and postmortem transcriptomic studies. Nature Communications 2020, 11: 2360. PMID: 32398677, PMCID: PMC7217830, DOI: 10.1038/s41467-020-15930-5.Peer-Reviewed Original ResearchMeSH KeywordsAcetamidesAdaptor Proteins, Signal TransducingAdultBrainCase-Control StudiesFemaleGene Expression ProfilingHealthy VolunteersHumansMaleMicrogliaMiddle AgedPositron-Emission TomographyPyridinesRadiopharmaceuticalsReceptors, GABAReceptors, Tumor Necrosis Factor, Member 14Sex FactorsStress Disorders, Post-TraumaticYoung AdultConceptsPosttraumatic stress disorderPeripheral immune activationImmune activationHigher C-reactive protein levelsC-reactive protein levelsTSPO availabilityTranslocator proteinBrain microglial activationTomography brain imagingStress-related pathophysiologyPositron emission tomography (PET) brain imagingNeuroimmune activationMicroglial activationPTSD symptom severityImmunologic regulationPostmortem studiesPTSD subgroupHealthy individualsSymptom severityTrauma exposurePTSD groupStress disorderLower relative expressionBrain imagingPET imagingAccuracy 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
2019
Measuring the effects of ketamine on mGluR5 using [18F]FPEB and PET
Holmes SE, Gallezot JD, Davis MT, DellaGioia N, Matuskey D, Nabulsi N, Krystal JH, Javitch JA, DeLorenzo C, Carson RE, Esterlis I. Measuring the effects of ketamine on mGluR5 using [18F]FPEB and PET. Cerebrovascular And Brain Metabolism Reviews 2019, 40: 2254-2264. PMID: 31744389, PMCID: PMC7585925, DOI: 10.1177/0271678x19886316.Peer-Reviewed Original ResearchConceptsEffects of ketamineKetamine infusionGlutamate transmissionMetabotropic glutamate receptor 5Ketamine-induced effectsKetamine-induced changesGlutamate receptor 5Promising treatment targetDrug challenge studiesTwo-tissue compartment modelMGluR5 radioligandBlood pressureMGluR5 availabilityBaseline scanOutcome measuresHealthy subjectsHeart ratePsychiatric disordersReceptor 5Modulatory effectsMGluR5Treatment targetsChallenge studiesArterial input functionChallenge paradigm
2014
In Vivo Ketamine-Induced Changes in [11C]ABP688 Binding to Metabotropic Glutamate Receptor Subtype 5
DeLorenzo C, DellaGioia N, Bloch M, Sanacora G, Nabulsi N, Abdallah C, Yang J, Wen R, Mann JJ, Krystal JH, Parsey RV, Carson RE, Esterlis I. In Vivo Ketamine-Induced Changes in [11C]ABP688 Binding to Metabotropic Glutamate Receptor Subtype 5. Biological Psychiatry 2014, 77: 266-275. PMID: 25156701, PMCID: PMC4277907, DOI: 10.1016/j.biopsych.2014.06.024.Peer-Reviewed Original ResearchConceptsSubtype 5Ketamine administrationPET scansMetabotropic glutamate receptor subtype 5Prefrontal cortexAspartate glutamate receptor antagonistIntravenous ketamine administrationKetamine-induced effectsPositron emission tomography (PET) ligandGlutamate receptor antagonistsVolume of distributionMedial prefrontal cortexNegative allosteric modulatorsKetamine initiationGlutamate releaseDorsal putamenKetamine responseSubanesthetic dosesOrbital prefrontal cortexReceptor antagonistAcute effectsBolus injectionDorsal caudateArterial bloodScan 1