2023
Tau-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 accumulationAssociation of Novelty-Related Locus Coeruleus Function With Entorhinal Tau Deposition and Memory Decline in Preclinical Alzheimer Disease
Prokopiou P, Engels-Domínguez N, Schultz A, Sepulcre J, Koops E, Papp K, Marshall G, Normandin M, El Fakhri G, Rentz D, Sperling R, Johnson K, Jacobs H. Association of Novelty-Related Locus Coeruleus Function With Entorhinal Tau Deposition and Memory Decline in Preclinical Alzheimer Disease. Neurology 2023, 101: e1206-e1217. PMID: 37491329, PMCID: PMC10516269, DOI: 10.1212/wnl.0000000000207646.Peer-Reviewed Original ResearchConceptsLC activityMemory declineLocus coeruleusCognitive declineEC tauHarvard Aging Brain StudyHuman neuroimaging studiesSteeper memory declineNoradrenergic brainstem nucleiLongitudinal cognitive dataFunctional MRI dataTau depositionAging Brain StudyPreclinical Alzheimer's diseaseTau progressionCortical tau depositionElevated beta-amyloidInterventions promoting resilienceMild cognitive impairmentExecutive dysfunctionExecutive functionNeuroimaging studiesTau spreadingTemporal cortexCognitive composite
2019
Evaluation of pharmacokinetic modeling strategies for in-vivo quantification of tau with the radiotracer [18F]MK6240 in human subjects
Guehl N, Wooten D, Yokell D, Moon S, Dhaynaut M, Katz S, Moody K, Gharagouzloo C, Kas A, Johnson K, El Fakhri G, Normandin M. Evaluation of pharmacokinetic modeling strategies for in-vivo quantification of tau with the radiotracer [18F]MK6240 in human subjects. European Journal Of Nuclear Medicine And Molecular Imaging 2019, 46: 2099-2111. PMID: 31332496, PMCID: PMC6709592, DOI: 10.1007/s00259-019-04419-z.Peer-Reviewed Original ResearchConceptsReference tissue methodDistribution volume ratioTissue methodIn vivo quantificationPharmacokinetic modeling strategiesArterial plasma input functionMultilinear reference tissue methodsTwo-tissue compartment modelBlood:plasma ratioTissue-to-plasmaPlasma input functionPlasma concentration time courseBlood-based methodMethodsThirty-five subjectsSUV ratioBlood-based analysesData setsArterial input functionPET scansControl subjectsMild cognitive impairmentPlasma ratioRadiometabolite analysisHealthy controlsConcentration time course
2016
Localizing Sources of Brain Disease Progression with Network Diffusion Model
Hu C, Hua X, Ying J, Thompson P, Fakhri G, Li Q. Localizing Sources of Brain Disease Progression with Network Diffusion Model. IEEE Journal Of Selected Topics In Signal Processing 2016, 10: 1214-1225. PMID: 28503250, PMCID: PMC5423678, DOI: 10.1109/jstsp.2016.2601695.Peer-Reviewed Original ResearchMild cognitive impairmentEfficient gradient descent methodGradient descent methodAlzheimer's Disease Neuroimaging InitiativeBrain connectivity networksDescent methodOrigin of dementiaDementia sourcesOrigin of Alzheimer's diseaseAlzheimer's diseaseEffective treatment of neurodegenerative diseasesDementiaMagnetic resonance imagingBrain atrophy patternsProgression of brain atrophyCognitive impairmentInverse problemNetworkSource of dementiaConnectivity networksTreatment of neurodegenerative diseasesAtrophy patterns
2014
Inferring Sources of Dementia Progression with Network Diffusion Model
Hu C, Hua X, Thompson P, El Fakhri G, Li Q. Inferring Sources of Dementia Progression with Network Diffusion Model. Lecture Notes In Computer Science 2014, 8679: 42-49. DOI: 10.1007/978-3-319-10581-9_6.Peer-Reviewed Original Research