2023
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models
Jang S, Gomez C, Thibault E, Becker J, Dong Y, Normandin M, Price J, Johnson K, Fakhri G, Gong K. TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338710.Peer-Reviewed Original ResearchTau-PET abnormality as a biomarker for Alzheimer’s disease staging and early detection: a topological perspective
Ding J, Shen C, Wang Z, Yang Y, Fakhri G, Lu J, Liang D, Zheng H, Zhou Y, Sun T, Study F. Tau-PET abnormality as a biomarker for Alzheimer’s disease staging and early detection: a topological perspective. Cerebral Cortex 2023, 33: 10649-10659. PMID: 37653600, DOI: 10.1093/cercor/bhad312.Peer-Reviewed Original ResearchConceptsStandardized uptake value ratioMild cognitive impairmentBrain regionsCognitive impairmentPositron emission tomographyMedial temporal lobeAlzheimer's diseaseVisual-related regionsTopological perspectiveTau positron emission tomographyMode networkTau PET imagingTopological featuresIndependent data cohortsTemporal lobeConnection strengthExtract topological featuresTau networksAbnormal networkProgression of Alzheimer's diseaseAbnormal protein accumulation
2020
Tracking the origin of tau spread in the brain
Jacobs H, Becker A, Kwong K, Uquillas F, Papp K, Properzi M, Rentz D, Fakhri G, Sperling R, Johnson K. Tracking the origin of tau spread in the brain. Alzheimer's & Dementia 2020, 16 DOI: 10.1002/alz.037501.Peer-Reviewed Original ResearchEntorhinal cortexMemory declineLocus coeruleusHarvard Aging Brain StudyPosterior cingulate cortexProspective memory declineAD-related cognitive declineMedial temporal lobeAging Brain StudyTau spreadingAlzheimer's diseaseCingulate cortexLimbic regionsNeuropsychological assessmentCingulate regionsTau PET imagingLC integrityCognitive changesTau accumulationMediation analysisTemporal lobeEntorhinal tauIncreased ABCognitive declineBrain studiesAttenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging
Gong K, Han P, Johnson K, El Fakhri G, Ma C, Li Q. Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 48: 1351-1361. PMID: 33108475, PMCID: PMC8411350, DOI: 10.1007/s00259-020-05061-w.Peer-Reviewed Original ResearchConceptsAttenuation correctionResultsThe Dice coefficientPseudo-CT imagesMR-based AC methodsAccurate ACAC accuracyPET imagingDice coefficientQuantitative accuracyAtlas methodAC methodGradient echoNear verticesTau imagingTau PET imagingAlzheimer's diseaseUltrashortCorrectionTau pathologyRapid acquisitionDeep learning methodsMonitoring of Alzheimer’s diseasePET/MRAmyloid