2024
MOLAR-NX: building a PET reconstruction framework for exploring the novel features provided by the NeuroEXPLORER
Fontaine K, Gallezot J, Zhang J, He L, Gravel P, Zeng T, Li T, Li Y, Leung E, Sun X, Guo L, Mulnix T, Toyonaga T, Lu Y, Li H, Badawi R, Qi J, Carson R. MOLAR-NX: building a PET reconstruction framework for exploring the novel features provided by the NeuroEXPLORER. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10655187.Peer-Reviewed Original ResearchReconstruction processDepth of interactionReconstruction frameworkAdvanced frameworkFramework's effectivenessMask featuresNovel featuresContrast recoveryScatter correction methodReconstruction softwareFrameworkListmode dataDownsamplingMotion correctionPhantom studyListmode filesFeaturesCorrection methodSoftwareFilesNeuroExplorerReconstructionLarge human cohort study of markerless head motion tracking for brain PET
Zeng T, Zhang J, Gallezot J, Fontaine K, Gravel P, Jiang W, Mulnix T, Yang Z, Zhang X, Hu L, Carson R. Large human cohort study of markerless head motion tracking for brain PET. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10656091.Peer-Reviewed Original ResearchPost-reconstruction registrationEvent-by-eventBrain PET imagingMotion correction techniqueQuantitative PET imagingPET imagingBrain PETHead motionTime activity curvesStudy of brain functionImage qualityMotion tracking systemGray matter regionsCorrection techniqueMotionHuman cohort studiesAverage SUVPET measurementsMotion blurMatter regionsSuperior performanceTracking systemPolarisComparative analysis of two parametric imaging programs for NeuroEXPLORER studies
Zhang J, Gallezot J, Ye Q, Lu Y, Carson R. Comparative analysis of two parametric imaging programs for NeuroEXPLORER studies. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10655797.Peer-Reviewed Original ResearchHigh-resolution brain phantom data, with flexible contrast: Validation on the NeuroExplorer (NX)
Gravel P, Toyonaga T, Gallezot J, Fontaine K, Martins S, Mulnix T, Carson R. High-resolution brain phantom data, with flexible contrast: Validation on the NeuroExplorer (NX). 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10656366.Peer-Reviewed Original ResearchQuantitative accuracyPhantom dataSpatial resolutionIterative reconstruction algorithmListmode dataAttenuation correctionPhantom studyPhantomResolution measurementsAttenuation propertiesReconstructed imagesReconstruction algorithmPET imagingCorrection accuracyResolutionScatteringAxial directionAttenuationContrastCorrectionImage-Derived Input Functions on an Ultra-High Performance Brain PET Scanner: Minimizing the Carotid Partial Volume Effect
Volpi T, Zeng T, Khattar N, Toyonaga T, Martins S, Mulnix T, Fontaine K, Gallezot J, Carson R. Image-Derived Input Functions on an Ultra-High Performance Brain PET Scanner: Minimizing the Carotid Partial Volume Effect. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10658264.Peer-Reviewed Original ResearchMotion correction quality control of markerless head motion tracking for ultrahigh performance brain PET
Zeng T, Zhang J, Volpi T, Gallezot J, Fontaine K, Khattar N, Jiang W, Yang Z, Wan Q, Wang S, Li T, Zhang X, Hu L, Carson R. Motion correction quality control of markerless head motion tracking for ultrahigh performance brain PET. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658040.Peer-Reviewed Original ResearchBrain PET studiesMotion correctionMotion-free imagesImpact of motionPET systemCombined metricImage qualityResolution degradationBrain PETGating methodPET dataFacial expression experimentsSpatial resolutionDetect facial expressionsNon-rigid movementEnhanced image qualityHuman scansGateMotion blurPET studiesMotion tracking systemPlanned motionTracking failureMotionNeuroimaging studiesAdaptive Deep Image Prior Enhances Ultra-Low Dose PET Imaging with NeuroEXPLORER
Li A, Gravel P, Gallezot J, Toyonaga T, Fontaine K, Carson R, Tang J. Adaptive Deep Image Prior Enhances Ultra-Low Dose PET Imaging with NeuroEXPLORER. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657691.Peer-Reviewed Original ResearchContrast recovery coefficientCounting imagingLearning-based denoising methodsHead motion correctionDeep Image PriorLow-dose imagesOptimal stopping iterationsDose imagesAttenuation mapBrain phantomDeep imagingFull-count dataImage priorsMotion correctionSignal-to-noise ratioDenoising methodSequence of outputsTraining dataPET imagingStopping iterationDecreased signal-to-noise ratioNoise ratioPost-processing techniquesReconstructed imagesRecovery coefficientVitamin D’s Capacity to Increase Amphetamine-Induced Dopamine Release in Healthy Humans: A Clinical Translational [11C]-PHNO Positron Emission Tomography Study
Worhunsky P, Mignosa M, Gallezot J, Pittman B, Nabulsi N, Stryjewski A, Jalilian-Khave L, Trinko R, DiLeone R, Carson R, Malison R, Potenza M, Angarita G. Vitamin D’s Capacity to Increase Amphetamine-Induced Dopamine Release in Healthy Humans: A Clinical Translational [11C]-PHNO Positron Emission Tomography Study. Biological Psychiatry 2024 PMID: 39395473, DOI: 10.1016/j.biopsych.2024.09.028.Peer-Reviewed Original ResearchVentral striatumEffects of medicationDorsal caudateDopamine releaseDorsal putamenDopaminergic tonePlacebo-controlled within-subject studyIncreased amphetamine-induced dopamine releaseAmphetamine-induced dopamine releaseAmphetamine-stimulated dopamine releaseSubstantia nigraDysregulated dopamine functionPositron emission tomography studiesTreatment of ADHDEmission tomography studiesWithin-subject studyPost-amphetamineD2/3 receptorsDopamine functionTransdiagnostic relevanceVitamin DPhasic releaseGlobus pallidusStriatumTyrosine hydroxylaseClinical correlates of dopamine transporter availability in cross-sectional and longitudinal studies with [18F]FE-PE2I PET: independent validation with new insights
Honhar P, Sadabad F, Tinaz S, Gallezot J, Dias M, Naganawa M, Yang Y, Henry S, Hillmer A, Gao H, Najafzadeh S, Comley R, Nabulsi N, Huang Y, Finnema S, Carson R, Matuskey D. Clinical correlates of dopamine transporter availability in cross-sectional and longitudinal studies with [18F]FE-PE2I PET: independent validation with new insights. Brain Communications 2024, 6: fcae345. PMID: 39429243, PMCID: PMC11487911, DOI: 10.1093/braincomms/fcae345.Peer-Reviewed Original ResearchDAT availabilityMotor severitySubstantia nigraDopamine transporter availabilityClinical trials of Parkinson's diseaseParkinson's diseaseLongitudinal studyTracking longitudinal changesClinical correlatesVentral striatumTransporter availabilityNigrostriatal regionParkinson's disease patientsPutamenMotor severity scoresAssociated with increasesSubstantiaDATLongitudinal changesTremor scoreNegative associationNigraSubstantia nigra of Parkinson's disease patientsTremor severityPET biomarkersNoninvasive quantification of [18F]SynVesT-1 binding using simplified reference tissue model 2
Naganawa M, Gallezot J, Li S, Nabulsi N, Henry S, Cai Z, Matuskey D, Huang Y, Carson R. Noninvasive quantification of [18F]SynVesT-1 binding using simplified reference tissue model 2. European Journal Of Nuclear Medicine And Molecular Imaging 2024, 1-9. PMID: 39155309, DOI: 10.1007/s00259-024-06885-6.Peer-Reviewed Original ResearchPositron emission tomographyCentrum semiovaleReference regionPositron emission tomography scanTest-retest variabilityTest-retest reproducibilitySynaptic vesicle glycoprotein 2AOne-tissue compartmentArterial blood samplesRetest scansGold standardBrain uptakeEmission tomographyBlood samplesCerebellumNoninvasive quantificationSRTM2ConclusionOur findingsPopulation averageHealthy participantsMetabolite analysisScan timeBPNDSemiovaleRelationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study
Cayir S, Volpi T, Toyonaga T, Gallezot J, Yang Y, Sadabad F, Mulnix T, Mecca A, Fesharaki‐Zadeh A, Matuskey D. Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study. Journal Of Neuroimaging 2024, 34: 627-634. PMID: 38676301, PMCID: PMC11511789, DOI: 10.1111/jon.13206.Peer-Reviewed Original ResearchMoCA scoresFDG-PETAssociation of cognitionStandardized uptake value ratioMontreal Cognitive AssessmentSignificant positive associationFrontotemporal dementiaPrimary outcome measurePosterior cingulate cortexDecline of cognitive functionYears of ageGM volumeFrontal cortexOutcome measuresCognitive dysfunctionGray matterCognitive AssessmentMoCAAssociated with cognitive dysfunctionFluorodeoxyglucose (FDG)-PETPositive associationMagnetic resonance imagingPartial volume correctionCognitive functionDementiaPopulation-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification
Liu Q, Tsai Y, Gallezot J, Guo X, Chen M, Pucar D, Young C, Panin V, Casey M, Miao T, Xie H, Chen X, Zhou B, Carson R, Liu C. Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. Medical Image Analysis 2024, 95: 103180. PMID: 38657423, DOI: 10.1016/j.media.2024.103180.Peer-Reviewed Original ResearchDeep Image PriorImage priorsSupervised modelsNoise reductionIntrinsic image featuresDeep learning techniquesU-Net architectureNovel denoising techniqueQuality of parametric imagesDenoising modelDenoising techniquesStatic datasetsBaseline techniquesEffective noise reductionData-driven approachLearning techniquesDynamic datasetsOptimization processPrior informationStatic imagesHigh noise levelsImage featuresDatasetPrior imagePET datasetsInvestigating the Relationships of Atrophy and Hypometabolism on Cognitive Decline in Frontotemporal Dementia (P1-9.018)
Cayir S, Yang Y, Volpi T, Sadabad F, Toyonaga T, Gallezot J, Mecca A, Fesharaki-Zadeh A, Matuskey D. Investigating the Relationships of Atrophy and Hypometabolism on Cognitive Decline in Frontotemporal Dementia (P1-9.018). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204352.Peer-Reviewed Original ResearchAuthor Correction: Synaptic loss and its association with symptom severity in Parkinson’s disease
Holmes S, Honhar P, Tinaz S, Naganawa M, Hilmer A, Gallezot J, Dias M, Yang Y, Toyonaga T, Esterlis I, Mecca A, Van Dyck C, Henry S, Ropchan J, Nabulsi N, Louis E, Comley R, Finnema S, Carson R, Matuskey D. Author Correction: Synaptic loss and its association with symptom severity in Parkinson’s disease. Npj Parkinson's Disease 2024, 10: 55. PMID: 38472206, PMCID: PMC10933370, DOI: 10.1038/s41531-024-00674-6.Peer-Reviewed Original ResearchSynaptic loss and its association with symptom severity in Parkinson’s disease
Holmes S, Honhar P, Tinaz S, Naganawa M, Hilmer A, Gallezot J, Dias M, Yang Y, Toyonaga T, Esterlis I, Mecca A, Van Dyck C, Henry S, Ropchan J, Nabulsi N, Louis E, Comley R, Finnema S, Carson R, Matuskey D. Synaptic loss and its association with symptom severity in Parkinson’s disease. Npj Parkinson's Disease 2024, 10: 42. PMID: 38402233, PMCID: PMC10894197, DOI: 10.1038/s41531-024-00655-9.Peer-Reviewed Original ResearchSynaptic density lossPositron emission tomographyBinds to synaptic vesicle glycoprotein 2AAssociated with symptom severityParkinson's diseaseHigh-resolution positron emission tomographySynaptic vesicle glycoprotein 2ADuration of illnessPositron emission tomography scanBrain perfusionIllness durationSymptom severitySeverity of symptomsHC groupSubstantia nigraSynaptic densityLiving brainPD individualsClinical insightsDensity lossPD patientsEmission tomographyBrainSynaptic lossSynapse lossFirst-in-Human Study of 18F-SynVesT-2: An SV2A PET Imaging Probe with Fast Brain Kinetics and High Specific Binding
Drake L, Wu Y, Naganawa M, Asch R, Zheng C, Najafzadeh S, Pracitto R, Lindemann M, Li S, Ropchan J, Labaree D, Emery P, Dias M, Henry S, Nabulsi N, Matuskey D, Hillmer A, Gallezot J, Carson R, Cai Z, Huang Y. First-in-Human Study of 18F-SynVesT-2: An SV2A PET Imaging Probe with Fast Brain Kinetics and High Specific Binding. Journal Of Nuclear Medicine 2024, 65: jnumed.123.266470. PMID: 38360052, PMCID: PMC10924160, DOI: 10.2967/jnumed.123.266470.Peer-Reviewed Original ResearchFirst-in-human studyPlasma free fractionTime-activity curvesCentrum semiovaleNonhuman primate's resultsFirst-in-humanFree fractionNondisplaceable binding potentialRegional time-activity curvesLow nonspecific uptakeRegional distribution volumesHigh-resolution research tomograph scannerTest-retest reproducibilityCerebral blood flowSynaptic vesicle glycoprotein 2AHealthy volunteersArterial input functionNonspecific uptakePET imaging probeDistribution volumeSynapse densityIndividual MR imagesHighest specific bindingMR imagingPET imaging
2023
The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J
Toyonaga T, Khattar N, Wu Y, Lu Y, Naganawa M, Gallezot J, Matuskey D, Mecca A, Pittman B, Dias M, Nabulsi N, Finnema S, Chen M, Arnsten A, Radhakrishnan R, Skosnik P, D’Souza D, Esterlis I, Huang Y, van Dyck C, Carson R. The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 1012-1022. PMID: 37955791, DOI: 10.1007/s00259-023-06487-8.Peer-Reviewed Original ResearchSynaptic densityAge-related decreaseMagnetic resonance imagingBlood flowAge-related synaptic lossGray matter volume lossSynaptic density lossPositron emission tomography (PET) ligandSynaptic vesicle glycoprotein 2AVivo PET measurementsMedial occipital cortexGray matter volumeAge-related neurodegenerationGray matter regionsCognitive normal subjectsAge-related changesSynaptic lossNerve terminalsWide age rangeOccipital cortexTomography ligandNormal subjectsGM volumeAge-related functional lossesMatter volumePET Quantification and Kinetic Analysis
Carson R, Naganawa M, Gallezot J. PET Quantification and Kinetic Analysis. 2023, 183-194. DOI: 10.1007/978-3-031-35098-6_12.ChaptersMathematical modelingLinearized techniqueModel simplificationApplication of modelingApplication of modelsModeling techniquesModel validationTracer kinetic modeling techniquesEquationsInput functionModelingKinetic modeling techniquesModelCompartment modelOptimizationAlternative approachAccurate measurementApplicationsSimplificationDynamics
2022
Neurotransmitter transporter occupancy following administration of centanafadine sustained-release tablets: A phase 1 study in healthy male adults
Matuskey D, Gallezot J, Nabulsi N, Henry S, Torres K, Dias M, Angarita G, Huang Y, Shoaf S, Carson R, Mehrotra S. Neurotransmitter transporter occupancy following administration of centanafadine sustained-release tablets: A phase 1 study in healthy male adults. Journal Of Psychopharmacology 2022, 37: 164-171. PMID: 36515395, PMCID: PMC9912308, DOI: 10.1177/02698811221140008.Peer-Reviewed Original ResearchDrug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A
Naganawa M, Gallezot J, Finnema S, Maguire R, Mercier J, Nabulsi N, Kervyn S, Henry S, Nicolas J, Huang Y, Chen M, Hannestad J, Klitgaard H, Stockis A, Carson R. Drug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A. EJNMMI Research 2022, 12: 71. PMID: 36346513, PMCID: PMC9643320, DOI: 10.1186/s13550-022-00944-5.Peer-Reviewed Original ResearchTime-activity curvesBrain entryDrug concentrationsNon-human primate brainAnti-seizure activitySynaptic vesicle glycoprotein 2APlasma drug concentrationsPrevious human studiesBackgroundAntiepileptic drugsHealthy subjectsBlood samplesHuman studiesLevetiracetamPrimate brainEmission tomography dataBrivaracetamDistribution volumeArterial input functionBrainDrug characteristicsPositron emission tomography dataDrug entryFree fractionDrugsKinetic parameters k1