Takuya Toyonaga, MD, PhD
Associate Research Scientist in Radiology & Biomedical ImagingCards
About
Research
Publications
2024
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation
Zhou B, Hou J, Chen T, Zhou Y, Chen X, Xie H, Liu Q, Guo X, Xia M, Tsai Y, Panin V, Toyonaga T, Duncan J, Liu C. POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation. IEEE Transactions On Medical Imaging 2024, PP: 1-1. DOI: 10.1109/tmi.2024.3514925.Peer-Reviewed Original ResearchPOUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation
Zhou B, Hou J, Chen T, Zhou Y, Chen X, Xie H, Liu Q, Guo X, Xia M, Tsai Y, Panin V, Toyonaga T, Duncan J, Liu C. POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10658051.Peer-Reviewed Original ResearchPET attenuation correctionLow-dose PETAttenuation correctionU-mapAttenuation mapElevated radiation doseRadiation doseEfficient feature extractionRadiation exposurePET imagingFinely detailed featuresBaseline methodsMitigate radiation exposureFeature extractionCorrectionMap generationGeneration machinesAn Investigation on Cross-Tracer Generalizability of Deep Learning-based PET Attenuation Correction
Hou J, Chen T, Zhou Y, Chen X, Xie H, Liu Q, Xia M, Panin V, Liu C, Zhou B, Toyonaga T. An Investigation on Cross-Tracer Generalizability of Deep Learning-based PET Attenuation Correction. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657095.Peer-Reviewed Original ResearchAttenuation correctionPET attenuation correctionQuantitative PET imagingAttenuation mapDL modelsDeep learning (DL)-based methodsTumor quantificationDL model trainingRadiation doseImmediate future workCompetitive performancePET imagingModel trainingPET signalCorrectionAnalysis of PETFuture workPreliminary resultsData availabilityRadiation11C-UCB-J PET imaging is consistent with lower synaptic density in autistic adults
Matuskey D, Yang Y, Naganawa M, Koohsari S, Toyonaga T, Gravel P, Pittman B, Torres K, Pisani L, Finn C, Cramer-Benjamin S, Herman N, Rosenthal L, Franke C, Walicki B, Esterlis I, Skosnik P, Radhakrishnan R, Wolf J, Nabulsi N, Ropchan J, Huang Y, Carson R, Naples A, McPartland J. 11C-UCB-J PET imaging is consistent with lower synaptic density in autistic adults. Molecular Psychiatry 2024, 1-7. PMID: 39367053, DOI: 10.1038/s41380-024-02776-2.Peer-Reviewed Original ResearchPositron emission tomographySynaptic densityAutistic adultsBrain regionsAutistic featuresClinical phenotype of autismNon-autistic participantsPhenotype of autismNon-autistic individualsRelationship to clinical characteristicsSynaptic vesicle glycoprotein 2AAssociated with clinical measuresPost-mortem studiesPositron emission tomography scanPrefrontal cortexClinician ratingsAutism groupNeural basisBrain areasNeural processesBetween-group differencesVolumetric differencesBinding potentialDensity of synapsesAutismRepetitive Mild Closed-Head Injury Induced Synapse Loss and Increased Local BOLD-fMRI Signal Homogeneity
Markicevic M, Mandino F, Toyonaga T, Cai Z, Fesharaki-Zadeh A, Shen X, Strittmatter S, Lake E. Repetitive Mild Closed-Head Injury Induced Synapse Loss and Increased Local BOLD-fMRI Signal Homogeneity. Journal Of Neurotrauma 2024, 41: 2528-2544. PMID: 39096127, DOI: 10.1089/neu.2024.0095.Peer-Reviewed Original ResearchChronic variable stressRegional homogeneityFunctional brain abnormalitiesSynapse densityMild closed-head injuryClosed-head injuryTraumatic brain injuryTreat traumatic brain injuryNeurobiological alterationsMild head injuryVariable stressBrain abnormalitiesPositron emission tomographyMultimodal studiesSynaptic densityMagnetic resonance imagingBrain imagingBrain injuryInduce synapse lossFMRIInjured miceMouse modelEmission tomographyResonance imagingCompensatory mechanismsValidation of a Simplified Tissue-to-Reference Ratio Measurement Using SUVR to Assess Synaptic Density Alterations in Alzheimer Disease with [11C]UCB-J PET
Young J, O’Dell R, Naganawa M, Toyonaga T, Chen M, Nabulsi N, Huang Y, Cooper E, Miller A, Lam J, Bates K, Ruan A, Nelsen K, Salardini E, Carson R, van Dyck C, Mecca A. Validation of a Simplified Tissue-to-Reference Ratio Measurement Using SUVR to Assess Synaptic Density Alterations in Alzheimer Disease with [11C]UCB-J PET. Journal Of Nuclear Medicine 2024, 65: jnumed.124.267419. PMID: 39299782, PMCID: PMC11533916, DOI: 10.2967/jnumed.124.267419.Peer-Reviewed Original ResearchDistribution volume ratioSUV ratioSynaptic densityEffect sizeAlzheimer's diseaseLongitudinal study of Alzheimer's diseaseMethods:</b> ParticipantsLongitudinal studyMeasure synaptic densityAD participantsStudy of Alzheimer's diseaseNormal cognitionReference regionOlder adultsMulticenterDensity alterationsMedial Amygdalar Tau Is Associated With Mood Symptoms in Preclinical Alzheimer’s Disease
Li J, Tun S, Ficek-Tani B, Xu W, Wang S, Horien C, Toyonaga T, Nuli S, Zeiss C, Powers A, Zhao Y, Mormino E, Fredericks C. Medial Amygdalar Tau Is Associated With Mood Symptoms in Preclinical Alzheimer’s Disease. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024, 9: 1301-1311. PMID: 39059466, PMCID: PMC11625605, DOI: 10.1016/j.bpsc.2024.07.012.Peer-Reviewed Original ResearchAssociated with mood symptomsMood symptomsAmyloid-positive individualsMedial amygdalaSeed-based functional connectivity analysisAssociated with anxiety symptomsSelf-reported mood symptomsPost hoc correlation analysisAlzheimer's diseaseFunctional connectivity analysisPreclinical Alzheimer's diseaseTau bindingOrbitofrontal cortexTau depositionAmygdalar connectivityEmotional processingAnxiety symptomsRetrosplenial cortexBetween-group differencesAmygdalaFunctional connectivityLateral amygdalaConnectivity analysisDepression scoresNeuropsychiatric symptomsRelationship 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 functionDementiaAuthor 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 ResearchIdentifying G6PC3 as a Potential Key Molecule in Hypoxic Glucose Metabolism of Glioblastoma Derived from the Depiction of 18F‐Fluoromisonidazole and 18F‐Fluorodeoxyglucose Positron Emission Tomography
Okamoto M, Yamaguchi S, Sawaya R, Echizenya S, Ishi Y, Kaneko S, Motegi H, Toyonaga T, Hirata K, Fujimura M. Identifying G6PC3 as a Potential Key Molecule in Hypoxic Glucose Metabolism of Glioblastoma Derived from the Depiction of 18F‐Fluoromisonidazole and 18F‐Fluorodeoxyglucose Positron Emission Tomography. BioMed Research International 2024, 2024: 2973407. PMID: 38449509, PMCID: PMC10917478, DOI: 10.1155/2024/2973407.Peer-Reviewed Original ResearchConceptsPositron emission tomographyF-FDGMRNA expressionOverall survivalGlucose metabolismF-FDG positron emission tomographyAssociated with poor overall survivalProtein expressionEmission tomographyGross total resectionPotential key moleculesFluorine-18 fluorodeoxyglucoseHypoxic conditionsDegree of glucose metabolismMolecular mechanisms of glucose metabolismAggressive primary brain tumorPoor overall survivalPrimary brain tumorKey moleculesTotal resectionPreoperative examinationIntratumoral hypoxiaPrognostic valuePoor prognosisBiomarkers of glioblastoma