Jean-Dominique Gallezot, PhD
Research Scientist in Radiology and Biomedical ImagingDownloadHi-Res Photo
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Contact Info
Radiology & Biomedical Imaging
PO Box 208042
New Haven, CT 06520-8042
United States
About
Titles
Research Scientist in Radiology and Biomedical Imaging
Appointments
Radiology & Biomedical Imaging
Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- Universite Pierre et Marie Curie, Neuroscience (2006)
- MS
- Université Pierre et Marie Curie, Neuroscience (2002)
- ME
- École Supérieure d'Électricité, Digital Telecommunications (2002)
- BS
- Ecole Polytechnique, Physics (2000)
Research
Overview
Medical Subject Headings (MeSH)
Brain; Data Analysis; Imaging, Three-Dimensional; Molecular Imaging; Positron-Emission Tomography; Receptors, Neurotransmitter; Whole Body Imaging
Research at a Glance
Yale Co-Authors
Frequent collaborators of Jean-Dominique Gallezot's published research.
Publications Timeline
A big-picture view of Jean-Dominique Gallezot's research output by year.
Research Interests
Research topics Jean-Dominique Gallezot is interested in exploring.
Richard Carson, PhD
Nabeel Nabulsi, PhD
David Matuskey, MD
Mika Naganawa, PhD
Chi Liu, PhD
Ming-Kai Chen, MD, PhD
122Publications
4,752Citations
Positron-Emission Tomography
Brain
Molecular Imaging
Whole Body Imaging
Publications
2024
Noninvasive 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 ResearchConceptsPositron 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 PMID: 38676301, DOI: 10.1111/jon.13206.Peer-Reviewed Original ResearchAltmetricConceptsMoCA 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 ResearchConceptsDeep 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 ResearchConceptsAuthor 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 ResearchCitationsAltmetricConceptsSynaptic 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 ResearchCitationsAltmetricConceptsFirst-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 ResearchCitationsAltmetricConceptsSynaptic 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 volumeDevelopment 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 Research
News
News
- November 20, 2019
Yale Researchers Measure Ketamine's Effects on a Glutamate Receptor
- August 07, 2019
PET research studies featured in Journal of Nuclear Medicine: Gallezot and Nabulsi, first authors
- September 08, 2016
Listening to the body: Study examines the effects of fasting on infections
- December 14, 2014
Study implicates serotonin receptor in cocaine dependence
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Mailing Address
Radiology & Biomedical Imaging
PO Box 208042
New Haven, CT 06520-8042
United States