2024
Relationship 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 PMID: 38676301, 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
Development and initial evaluation of 3D-printed ultra-high resolution brain phantoms
Toyonaga T, Shanina E, Lo C, Gravel P, Gallezot J, Lucero S, Martins S, Mulnix T, Fontaine K, Xu T, Leung E, Sun X, Li T, Qi J, Cherry S, Li H, Carson R. Development and initial evaluation of 3D-printed ultra-high resolution brain phantoms. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338821.Peer-Reviewed Original ResearchValidation and application of markerless head motion tracking for a next-generation brain PET scanner
Zeng T, Wang S, Fontaine K, Jiang W, Zhang J, Mulnix T, Gravel P, Volpi T, Gallezot J, Yang Z, Zhang X, Sun X, Hu L, Li H, Carson R. Validation and application of markerless head motion tracking for a next-generation brain PET scanner. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338275.Peer-Reviewed Original ResearchPopulation-based Deep Image Prior for Dynamic PET Denoising
Liu Q, Tsai Y, Gallezot J, Guo X, Chen M, Pucar D, Young C, Panin V, Miao T, Xie H, Chen X, Zhou B, Carson R, Liu C. Population-based Deep Image Prior for Dynamic PET Denoising. 2023, 00: 1-2. DOI: 10.1109/nssmicrtsd49126.2023.10338619.Peer-Reviewed Original Research
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 ResearchDifferences in Quantification of the Metabotropic Glutamate Receptor 5 Across Bipolar Disorder and Major Depressive Disorder
Holmes S, Asch R, Davis M, DellaGioia N, Pashankar N, Gallezot J, Nabulsi N, Matuskey D, Sanacora G, Carson R, Blumberg H, Esterlis I. Differences in Quantification of the Metabotropic Glutamate Receptor 5 Across Bipolar Disorder and Major Depressive Disorder. Biological Psychiatry 2022, 93: 1099-1107. PMID: 36764853, PMCID: PMC10164841, DOI: 10.1016/j.biopsych.2022.10.018.Peer-Reviewed Original ResearchConceptsMajor depressive disorderMetabotropic glutamate receptor 5Glutamate receptor 5MGluR5 availabilityBipolar disorderPositron emission tomographyHC groupDepressive disorderReceptor 5Emission tomographyHealthy control individualsPossible treatment targetsGlutamate transmissionBD depressionTreatment strategiesBD groupMGluR5Depressive symptomsNovel treatmentsCognitive alterationsTreatment targetsSynaptic plasticityControl individualsAccurate diagnosisSignificant negative correlationDrug 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 k1First-in-human evaluation of 18F-BMS-986327 as a novel PET tracer to assess lysophosphatidic acid receptor 1 (LPA1) target engagement in the lung
Smith R, Donnelly D, Gallezot J, Lu Y, Murphy B, Cheng P, Kim J, Charles E, Du S, Holden D, Najafzadeh S, Gao H, Kapinos M, Ropchan J, Nabulsi N, Huang H, Fischer A, Carson R. First-in-human evaluation of 18F-BMS-986327 as a novel PET tracer to assess lysophosphatidic acid receptor 1 (LPA1) target engagement in the lung. 2022, 1164. DOI: 10.1183/13993003.congress-2022.1164.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2021
Generation of parametric Ki images for FDG PET using two 5‐min scans
Wu J, Liu H, Ye Q, Gallezot J, Naganawa M, Miao T, Lu Y, Chen M, Esserman DA, Kyriakides TC, Carson RE, Liu C. Generation of parametric Ki images for FDG PET using two 5‐min scans. Medical Physics 2021, 48: 5219-5231. PMID: 34287939, DOI: 10.1002/mp.15113.Peer-Reviewed Original ResearchConceptsPopulation-based input functionDynamic FDG-PET scansFDG-PET scansFDG-PETSUV changesPET scansClinical practiceSolid lung nodulesClinical usefulnessLate scansBone marrowRegion of interestLung nodulesInput functionScansPatlak analysisKi imagesMin/T-testCorrelation coefficientTumorsSubjectsNodulesDynamic imagingPETPartial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease
Lu Y, Toyonaga T, Naganawa M, Gallezot JD, Chen MK, Mecca AP, van Dyck CH, Carson RE. Partial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease. NeuroImage 2021, 238: 118248. PMID: 34119639, PMCID: PMC8454285, DOI: 10.1016/j.neuroimage.2021.118248.Peer-Reviewed Original ResearchComparison of [11C]UCB-J and [18F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study
Chen MK, Mecca AP, Naganawa M, Gallezot JD, Toyonaga T, Mondal J, Finnema SJ, Lin SF, O’Dell R, McDonald JW, Michalak HR, Wyk B, Nabulsi NB, Huang Y, Arnsten AF, van Dyck CH, Carson RE. Comparison of [11C]UCB-J and [18F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study. Cerebrovascular And Brain Metabolism Reviews 2021, 41: 2395-2409. PMID: 33757318, PMCID: PMC8393289, DOI: 10.1177/0271678x211004312.Peer-Reviewed Original ResearchConceptsSynaptic densityMedial temporal regionsAlzheimer's diseaseNeocortical regionsTemporal regionsRelative outcome measuresMedial temporal lobeVivo PET imagingJ bindingOutcome measuresTemporal lobeMagnitude of reductionCN participantsBrain regionsAD participantsDiseasePET imagingConcordant reductionNormal participantsSynaptic vesiclesPerfusionMetabolismSuitable markerParticipantsSimilar pattern
2020
Assessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET
Naganawa M, Gallezot JD, Shah V, Mulnix T, Young C, Dias M, Chen MK, Smith AM, Carson RE. Assessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET. EJNMMI Physics 2020, 7: 67. PMID: 33226522, PMCID: PMC7683759, DOI: 10.1186/s40658-020-00330-x.Peer-Reviewed Original ResearchPopulation-based input functionImage-derived input functionInitial distribution volumeArterial input functionInjected doseBlood samplingWhole bodyStandard arterial input functionInitial plasma concentrationsArterial blood samplingOncological patientsPlasma concentrationsGold standard methodDistribution volumePET studiesPET imagingSubject heightInput functionAUCAUC valuesTest-retest dataClinical environmentLater time windowKi valuesImagingMultimodal investigation of dopamine D2/D3 receptors, default mode network suppression, and cognitive control in cocaine-use disorder
Worhunsky PD, Angarita GA, Zhai ZW, Matuskey D, Gallezot JD, Malison RT, Carson RE, Potenza MN. Multimodal investigation of dopamine D2/D3 receptors, default mode network suppression, and cognitive control in cocaine-use disorder. Neuropsychopharmacology 2020, 46: 316-324. PMID: 33007778, PMCID: PMC7852666, DOI: 10.1038/s41386-020-00874-7.Peer-Reviewed Original ResearchConceptsCocaine use disorderDMN suppressionDefault mode networkCognitive controlExecutive functioningStroop performanceCognitive control processesHealthy comparison participantsModerated-mediation analysisImproved task performanceStroop taskStimulant use disorderCognitive performanceTask performanceComparison participantsAddicted populationMode networkNetwork suppressionFMRI dataCUD participantsHC individualsMultimodal investigationControl processIndirect effectsD2R levelsReduced synaptic vesicle protein 2A binding in temporal lobe epilepsy: A [11C]UCB‐J positron emission tomography study
Finnema SJ, Toyonaga T, Detyniecki K, Chen M, Dias M, Wang Q, Lin S, Naganawa M, Gallezot J, Lu Y, Nabulsi NB, Huang Y, Spencer DD, Carson RE. Reduced synaptic vesicle protein 2A binding in temporal lobe epilepsy: A [11C]UCB‐J positron emission tomography study. Epilepsia 2020, 61: 2183-2193. PMID: 32944949, DOI: 10.1111/epi.16653.Peer-Reviewed Original ResearchConceptsMedial temporal lobe sclerosisTemporal lobe epilepsyTLE subjectsPositron emission tomographyLobe epilepsyJ BPSynaptic vesicle protein 2APartial volume correctionTemporal lobe sclerosisPositron emission tomography studyEmission tomography studiesSeizure onset zonePromising biomarker approachJ bindingPresurgical selectionSclerotic hippocampusHippocampal asymmetryTLE patientsRegional binding patternsControl subjectsCentrum semiovaleContralateral regionsEpilepsy patientsOutcome measuresOnset zoneSimplified Quantification of 11C-UCB-J PET Evaluated in a Large Human Cohort
Naganawa M, Gallezot JD, Finnema SJ, Matuskey D, Mecca A, Nabulsi NB, Labaree D, Ropchan J, Malison RT, D'Souza DC, Esterlis I, Detyniecki K, van Dyck CH, Huang Y, Carson RE. Simplified Quantification of 11C-UCB-J PET Evaluated in a Large Human Cohort. Journal Of Nuclear Medicine 2020, 62: 418-421. PMID: 32646875, PMCID: PMC8049341, DOI: 10.2967/jnumed.120.243949.Peer-Reviewed Original Research