2025
[18F]MK-6240 Radioligand Delivery Indices as Surrogates of Cerebral Perfusion: Bias and Correlation Against [15O]Water.
Fu J, Juttukonda M, Garimella A, Salvatore A, Lois C, Ranasinghe A, Efthimiou N, Sari H, Aye W, Guehl N, El Fakhri G, Johnson K, Dickerson B, Izquierdo-Garcia D, Catana C, Price J. [18F]MK-6240 Radioligand Delivery Indices as Surrogates of Cerebral Perfusion: Bias and Correlation Against [15O]Water. Journal Of Nuclear Medicine 2025, 66: 410-417. PMID: 39947916, PMCID: PMC11876731, DOI: 10.2967/jnumed.124.268701.Peer-Reviewed Original Research
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, 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 functionDementia
2022
Kinetic evaluation and assessment of longitudinal changes in reference region and extracerebral [18F]MK-6240 PET uptake
Fu J, Lois C, Sanchez J, Becker J, Rubinstein Z, Thibault E, Salvatore A, Sari H, Farrell M, Guehl N, Normandin M, Fakhri G, Johnson K, Price J. Kinetic evaluation and assessment of longitudinal changes in reference region and extracerebral [18F]MK-6240 PET uptake. Cerebrovascular And Brain Metabolism Reviews 2022, 43: 581-594. PMID: 36420769, PMCID: PMC10063833, DOI: 10.1177/0271678x221142139.Peer-Reviewed Original ResearchConceptsPartial volume correctionLongitudinal changesReference regionStandardized uptake valueFollow-up scansExtracerebral signalsAssessment of longitudinal changesCross-sectional effect sizesUptake valuePET uptakeDistribution volumeRegional uptakeArterial samplesExtracerebral contaminationOne-yearCognitively-normalEffect sizePonsGroup differentiationVolume correctionSubject levelSubjects
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 analysis
2020
Reduced 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 zone
2019
Quantitative 18F-AV1451 Brain Tau PET Imaging in Cognitively Normal Older Adults, Mild Cognitive Impairment, and Alzheimer's Disease Patients
Zhao Q, Liu M, Ha L, Zhou Y, Initiative A, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Shaw L, Khachaturian Z, Sorensen G, Carrillo M, Kuller L, Raichle M, Paul S, Davies P, Fillit H, Hefti F, Holtzman D, Mesulam M, Potter W, Snyder P, Schwartz A, Green R, Montine T, Petersen R, Aisen P, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Jiminez G, Balasubramanian A, Mason J, Sim I, Beckett L, Harvey D, Donohue M, Jack C, Bernstein M, Fox N, Thompson P, Schuff N, DeCArli C, Borowski B, Gunter J, Senjem M, Vemuri P, Jones D, Kantarci K, Ward C, Jagust W, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Landau S, Morris J, Cairns N, Franklin E, Taylor-Reinwald L, Shaw L, Trojanowki J, Lee V, Korecka M, Figurski M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Weiner M, Thal L, Khachaturian Z, Thal L, Buckholtz N, Weiner M, Snyder P, Potter W, Paul S, Albert M, Frank R, Khachaturian Z, Hsiao J, Kaye J, Quinn J, Silbert L, Lind B, Carter R, Dolen S, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Spann B, Brewer J, Vanderswag H, Fleisher A, Heidebrink J, Lord J, Petersen R, Mason S, Albers C, Knopman D, Johnson K, Doody R, Villanueva-Meyer J, Pavlik V, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Bell K, Ances B, Morris J, Carroll M, Creech M, Franklin E, Mintun M, Schneider S, Oliver A, Marson D, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Roberson E, Grossman H, Mitsis E, Shah R, deToledo-Morrell L, Duara R, Greig-Custo M, Barker W, Albert M, Onyike C, D'Agostino D, Kielb S, Sadowski M, Sheikh M, Anaztasia U, Mrunalini G, Doraiswamy P, Petrella J, Borges-Neto S, Wong T, Coleman E, Arnold S, Karlawish J, Wolk D, Clark C, Smith C, Jicha G, Hardy P, Sinha P, Oates E, Conrad G, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Potkin S, Preda A, Nguyen D, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Cellar J, Burns J, Swerdlow R, Brooks W, Apostolova L, Tingus K, Woo E, Silverman D, Lu P, Bartzokis G, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Carson R, MacAvoy M, Varma P, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Hsiung G, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternack S, Rachisky I, Trost D, Kertesz A, Bernick C, Munic D, Mesulam M, Rogalski E, Lipowski K, Weintraub S, Bonakdarpour B, Kerwin D, Wu C, Johnson N, Sadowsky C, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Sirrel S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Allard J, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Fletcher E, Maillard P, Olichney J, DeCarli C, Carmichael O, Kittur S, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Burke A, Milliken A, Trncic N, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Kelley B, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Sink K, Leslie G, Williamson J, Garg P, Watkins F, Ott B, Tremont G, Daiello L, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Perry D, Mintzer J, Spicer K, Bachman D, Finger E, Pasternak S, Rachinsky I, Rogers J, Kertesz A, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Smith K, Koleva H, Nam K, Shim H, Relkin N, Chiang G, Lin M, Ravdin L, Smith A, Raj B, Fargher K, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Green R, Harvey D, Jack C, Jagust W, Morris J, Saykin A, Shaw L, Toga A, Trojanowki J, Neylan T, Grafman J, Green R, Montine T, Weiner M, Petersen R, Aisen P, Thomas R, Donohue M, Devon G, Sather T, Melissa D, Morrison R, Jiminez G, Neylan T, Jacqueline H, Shannon F, Harvey D, Donohue M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kejal K, Chad W, Jagust W, Koeppe R, Foster N, Reiman E, Chen K, Landau S, Morris J, Cairns N, Householder E, Shaw L, Trojanowki J, Lee V, Korecka M, Figurski M, Toga A, Karen C, Scott N, Saykin A, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Weiner M, Karl F, Schneider L, Pawluczyk S, Mauricio B, Brewer J, Vanderswag H, Stern Y, Honig L, Bell K, Fleischman D, Arfanakis K, Shah R, Duara R, Varon D, Greig M, Doraiswamy P, Petrella J, James O, Porsteinsson A, Goldstein B, Martin K, Potkin S, Preda A, Nguyen D, Mintzer J, Massoglia D, Brawman-Mintzer O, Sadowsky C, Martinez W, Villena T, Jagust W, Landau S, Rosen H, Perry D, Turner R, Behan K, Reynolds B, Sperling R, Johnson K, Marshall G, Sabbagh M, Jacobson S, Sirrel S, Obisesan T, Wolday S, Allard J, Johnson S, Fruehling J, Harding S, Peskind E, Petrie E, Li G, Yesavage J, Taylor J, Furst A, Chao S, Relkin N, Chiang G, Ravdin L, Ravdin L, Mackin S, Aisen P, Raman R, Mackin S, Weiner M, Aisen P, Raman R, Jack C, Landau S, Saykin A, Toga A, DeCarli C, Koeppe R, Green R, Drake E, Weiner M, Aisen P, Raman R, Donohue M, Jimenez G, Gessert D, Harless K, Salazar J, Cabrera Y, Walter S, Hergesheimer L, Shaffer E, Mackin S, Nelson C, Bickford D, Butters M, Zmuda M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kantarci K, Ward C, Reyes D, Koeppe R, Landau S, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Faber K, Nho K, Nudelman K, Mackin S, Rosen H, Nelson C, Bickford D, Au Y, Scherer K, Catalinotto D, Stark S, Ong E, Fernandez D, Butters M, Zmuda M, Lopez O, Oakley M, Simpson D. Quantitative 18F-AV1451 Brain Tau PET Imaging in Cognitively Normal Older Adults, Mild Cognitive Impairment, and Alzheimer's Disease Patients. Frontiers In Neurology 2019, 10: 486. PMID: 31156534, PMCID: PMC6530456, DOI: 10.3389/fneur.2019.00486.Peer-Reviewed Original ResearchStandardized uptake value ratioMini-Mental State ExaminationTau positron emission tomographyPositron emission tomographyMild cognitive impairmentCSF p-tauTau depositionNormal older adultsF-AV1451Cognitive impairmentF-AVAlzheimer's Disease Neuroimaging InitiativeBrain regionsP-tauDisease patientsSmall brain regionsDisease Neuroimaging InitiativeEntorhinal cortexMMSE scoresPET standardized uptake value ratioPartial volume correctionRegional standardized uptake value ratiosStructural MRIMCI groupOlder adults
2018
PET imaging reveals lower kappa opioid receptor availability in alcoholics but no effect of age
Vijay A, Cavallo D, Goldberg A, de Laat B, Nabulsi N, Huang Y, Krishnan-Sarin S, Morris ED. PET imaging reveals lower kappa opioid receptor availability in alcoholics but no effect of age. Neuropsychopharmacology 2018, 43: 2539-2547. PMID: 30188515, PMCID: PMC6224533, DOI: 10.1038/s41386-018-0199-1.Peer-Reviewed Original ResearchConceptsHealthy control cohortVolume of distributionOpioid receptor systemKappa-opioid receptorsOpioid receptorsDelta opioid receptor systemReceptor systemMu-opioid receptor systemOpioid receptor availabilityPotential pharmacological targetEffect of ageAge-related declineControl cohortPET scansAntagonist tracersReceptor availabilityMultivariate analysisPharmacological targetsPET imagingReceptorsAgePartial volume correctionCohortVT valuesPresent study
2017
Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease
Yang J, Hu C, Guo N, Dutta J, Vaina L, Johnson K, Sepulcre J, Fakhri G, Li Q. Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease. Scientific Reports 2017, 7: 13035. PMID: 29026139, PMCID: PMC5638902, DOI: 10.1038/s41598-017-13339-7.Peer-Reviewed Original ResearchConceptsQuantitative accuracy of PET imagesSpatial resolution of PET scannersAccuracy of PET imagesPET scannerBrain networksPET imagingQuantitative accuracyPartial volume effectsClassification performanceImage registrationPositron emission tomography quantificationPartial volume correctionSpatial resolutionJoint entropyVolume correctionNetwork structure analysisCorrected imagesVolume effectClinical datasetsParameter settingsPositron emission tomographyClassification testsCompare network propertiesNoise sensitivity
2016
PET imaging reveals sex differences in kappa opioid receptor availability in humans, in vivo.
Vijay A, Wang S, Worhunsky P, Zheng MQ, Nabulsi N, Ropchan J, Krishnan-Sarin S, Huang Y, Morris ED. PET imaging reveals sex differences in kappa opioid receptor availability in humans, in vivo. American Journal Of Nuclear Medicine And Molecular Imaging 2016, 6: 205-14. PMID: 27648372, PMCID: PMC5004062.Peer-Reviewed Original ResearchKappa-opioid receptorsOpioid receptorsSex differencesOpioid receptor availabilityTreatment of painHealthy control menDelta-opioid receptorsVolume of distributionEfficacy of treatmentKappa opioid analgesicsMultiple brain regionsOpioid analgesicsKOR systemControl menAntagonist tracersPET scansReceptor availabilityVoxel levelPharmacological targetsBrain regionsPET imagingAddiction withdrawalReceptorsTreatmentPartial volume correction
2010
Where in-vivo imaging meets cytoarchitectonics: The relationship between cortical thickness and neuronal density measured with high-resolution [18F]flumazenil-PET
la Fougère C, Grant S, Kostikov A, Schirrmacher R, Gravel P, Schipper H, Reader A, Evans A, Thiel A. Where in-vivo imaging meets cytoarchitectonics: The relationship between cortical thickness and neuronal density measured with high-resolution [18F]flumazenil-PET. NeuroImage 2010, 56: 951-960. PMID: 21073964, DOI: 10.1016/j.neuroimage.2010.11.015.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlgorithmsBrain MappingCerebral CortexData Interpretation, StatisticalFemaleFlumazenilGABA ModulatorsHumansImage Processing, Computer-AssistedIndividualityIsotope LabelingMagnetic Resonance ImagingMaleMiddle AgedNeuronsPositron-Emission TomographyRadiopharmaceuticalsReceptors, GABARegression AnalysisConceptsNeuronal densityCortical thicknessAxo-dendritic synapsesSensory-motor cortexHuman brain areasDifferent cytoarchitectonic areasFlumazenil PETMotor cortexApparent cortical thicknessCortical thickness mapsHealthy subjectsBrain areasMorphometry studyCytoarchitectonic areasCortical morphologyCortical regionsCortical distributionVivo studiesFMZReceptor complexPartial volume correctionCytoarchitectonicsSensitive toolDifferential relationshipsSubset
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