2024
Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization
Vafaii H, Mandino F, Desrosiers-Grégoire G, O’Connor D, Markicevic M, Shen X, Ge X, Herman P, Hyder F, Papademetris X, Chakravarty M, Crair M, Constable R, Lake E, Pessoa L. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nature Communications 2024, 15: 229. PMID: 38172111, PMCID: PMC10764905, DOI: 10.1038/s41467-023-44363-z.Peer-Reviewed Original Research
2023
High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways
Mendes H, Neelakantan U, Liu Y, Fitzpatrick S, Chen T, Wu W, Pruitt A, Jin D, Jamadagni P, Carlson M, Lacadie C, Enriquez K, Li N, Zhao D, Ijaz S, Sakai C, Szi C, Rooney B, Ghosh M, Nwabudike I, Gorodezky A, Chowdhury S, Zaheer M, McLaughlin S, Fernandez J, Wu J, Eilbott J, Vander Wyk B, Rihel J, Papademetris X, Wang Z, Hoffman E. High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways. Cell Reports 2023, 42: 112243. PMID: 36933215, PMCID: PMC10277173, DOI: 10.1016/j.celrep.2023.112243.Peer-Reviewed Original ResearchConceptsGene lossFunctional analysisHigh-throughput functional analysisZebrafish mutantsGene discoverySelect mutantsASD genesAutism genesKey pathwaysASD biologyBrain size differencesMutantsGenesSize differencesPathwayGlobal increaseRelevant mechanismsBiologyCentral challengeNeuroimmune dysfunctionRegionFunctionDiscoveryAutism spectrum disorder
2022
Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type
O’Connor D, Mandino F, Shen X, Horien C, Ge X, Herman P, Hyder F, Crair M, Papademetris X, Lake E, Constable. Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type. NeuroImage 2022, 264: 119735. PMID: 36347441, PMCID: PMC9808917, DOI: 10.1016/j.neuroimage.2022.119735.Peer-Reviewed Original ResearchCineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel
Midgett D, Thorn S, Ahn S, Uman S, Avendano R, Melvinsdottir I, Lysyy T, Kim J, Duncan J, Humphrey J, Papademetris X, Burdick J, Sinusas A. CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel. Journal Of Molecular And Cellular Cardiology 2022, 166: 74-90. PMID: 35227737, PMCID: PMC9035115, DOI: 10.1016/j.yjmcc.2022.02.004.Peer-Reviewed Original Research
2010
A non-rigid registration method for serial lower extremity hybrid SPECT/CT imaging
Suh JW, Scheinost D, Dione DP, Dobrucki LW, Sinusas AJ, Papademetris X. A non-rigid registration method for serial lower extremity hybrid SPECT/CT imaging. Medical Image Analysis 2010, 15: 96-111. PMID: 20869902, PMCID: PMC2988883, DOI: 10.1016/j.media.2010.08.002.Peer-Reviewed Original Research
2008
A non-parametric vessel detection method for complex vascular structures
Qian X, Brennan MP, Dione DP, Dobrucki WL, Jackowski MP, Breuer CK, Sinusas AJ, Papademetris X. A non-parametric vessel detection method for complex vascular structures. Medical Image Analysis 2008, 13: 49-61. PMID: 18678521, PMCID: PMC2614119, DOI: 10.1016/j.media.2008.05.005.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAngiographyAnimalsArtificial IntelligenceBlood VesselsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPattern Recognition, AutomatedRatsReproducibility of ResultsSensitivity and SpecificitySheepTomography, X-Ray ComputedConceptsSingle cylinder
2002
Estimation of 3-D Left Ventricular Deformation from Medical Images Using Biomechanical Models
Papademetris* X, Sinusas AJ, Dione DP, Constable RT, Duncan JS. Estimation of 3-D Left Ventricular Deformation from Medical Images Using Biomechanical Models. IEEE Transactions On Medical Imaging 2002, 21: 786. PMID: 12374316, DOI: 10.1109/tmi.2002.801163.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsCoronary DiseaseDogsElasticityFinite Element AnalysisHeart VentriclesHumansImage EnhancementImaging, Three-DimensionalMagnetic Resonance Imaging, CineModels, CardiovascularPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityStress, MechanicalConceptsDense motion fieldRegional cardiac deformationLinear elastic modelSoft tissue deformationMotion fieldTerms of strainBiomechanical modelDeformation estimationTissue deformationFiber directionDeformationThree-dimensional image sequencesCardiac deformationHeart wallGood agreementHeart deformationGeneric methodologyMuscle fiber directionImage-derived informationImage sequencesEstimationWallSpecific directionQuantitative estimationInitial correspondence
2001
Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images
Sinusas A, Papademetris X, Constable R, Dione D, Slade M, Shi P, Duncan J. Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. AJP Heart And Circulatory Physiology 2001, 281: h698-h714. PMID: 11454574, DOI: 10.1152/ajpheart.2001.281.2.h698.Peer-Reviewed Original ResearchEstimation of 3D left ventricular deformation from echocardiography
Papademetris X, Sinusas A, Dione D, Duncan J. Estimation of 3D left ventricular deformation from echocardiography. Medical Image Analysis 2001, 5: 17-28. PMID: 11231174, DOI: 10.1016/s1361-8415(00)00022-0.Peer-Reviewed Original ResearchConceptsDense motion fieldIsotropic linear elastic modelRegional cardiac deformationLinear elastic modelMotion fieldTerms of strainCardiac deformationFiber directionElastic modelDeformationHeart wallGood agreementHeart deformationImage sequencesWallEstimationSpecific directionUltrasound imagesQuantitative estimationInitial correspondenceField