2015
A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease
Hu C, Cheng L, Sepulcre J, Johnson K, Fakhri G, Lu Y, Li Q. A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease. PLOS ONE 2015, 10: e0128136. PMID: 26024224, PMCID: PMC4449104, DOI: 10.1371/journal.pone.0128136.Peer-Reviewed Original ResearchConceptsNetwork featuresAlzheimer's diseaseConsistent with known pathologyUnknown graphConnection weightsReconstruction networkCortical hubsDegree statisticsData modelSmooth signalsFeatures of brain pathologyOptimization frameworkAmyloid-bPartial correlation estimationImage dataNetworkGraphGlobal connectivity measuresPositron emission tomographyConnectivity measuresNeurodegenerative diseasesConnectivity patternsSample correlationClinical ADSimulated data
2012
Parametric imaging with Bayesian priors: A validation study with 11C-Altropane PET
Fang Y, Fakhri G, Becker J, Alpert N. Parametric imaging with Bayesian priors: A validation study with 11C-Altropane PET. NeuroImage 2012, 61: 131-138. PMID: 22425668, DOI: 10.1016/j.neuroimage.2012.03.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlgorithmsBayes TheoremBiasCarbon RadioisotopesCocaineData Interpretation, StatisticalFemaleHumansImage Processing, Computer-AssistedKineticsLeast-Squares AnalysisMaleMiddle AgedNeuroimagingNonlinear DynamicsNormal DistributionPopulationPositron-Emission TomographyRadiopharmaceuticalsReference ValuesSample SizeYoung Adult