2020
A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s Disease
Song T, Chowdhury S, Yang F, Jacobs H, Sepulcre J, Wedeen V, Johnson K, Dutta J. A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s Disease. Lecture Notes In Computer Science 2020, 12267: 418-427. PMID: 33263115, PMCID: PMC7700821, DOI: 10.1007/978-3-030-59728-3_41.Peer-Reviewed Original ResearchGraph neural networksNeural networkPeak signal-to-noise ratioLearning modelsPhysics-based regularizationSignal-to-noise ratioLatent spaceData sizeDifferential equation solverDiffusion tensor imagingLearning patternsImage dataConnected graphStructural connectivity graphsPositron emission tomographyHarvard Aging Brain StudyNetworkAlzheimer's diseaseAging Brain StudyGraphEffective trainingCross-validation studyTau spreadingBrain regionsEquation solver
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
2013
A GRAPH THEORETICAL REGRESSION MODEL FOR BRAIN CONNECTIVITY LEARNING OF ALZHEIMER'S DISEASE
Hu C, Cheng L, Sepulcre J, Fakhri G, Lu Y, Li Q. A GRAPH THEORETICAL REGRESSION MODEL FOR BRAIN CONNECTIVITY LEARNING OF ALZHEIMER'S DISEASE. 2013, 616-619. DOI: 10.1109/isbi.2013.6556550.Peer-Reviewed Original Research
2011
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo B, Krienen F, Sepulcre J, Sabuncu M, Lashkari D, Hollinshead M, Roffman J, Smoller J, Zöllei L, Polimeni J, Fischl B, Liu H, Buckner R. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal Of Neurophysiology 2011, 106: 1125-1165. PMID: 21653723, PMCID: PMC3174820, DOI: 10.1152/jn.00338.2011.Peer-Reviewed Original ResearchConceptsProperties of network connectivityMT+ complexSurface-based alignmentHierarchical relationsFunctional connectivityOrganization of networksPrimary visual areaFunctional connectivity MRIResting-state functional connectivity MRIConnectivity patternsNetwork boundariesCerebral cortexNetwork connectivityClustering approachConnectivity profilesArea complexityAnatomical connectionsLocal networkIntrinsic functional connectivityDistribution networkNetworkVisual systemVisual areasAbrupt transitionInformation processing