2024
Mapping the structure-function relationship along macroscale gradients in the human brain
Collins E, Chishti O, Obaid S, McGrath H, King A, Shen X, Arora J, Papademetris X, Constable R, Spencer D, Zaveri H. Mapping the structure-function relationship along macroscale gradients in the human brain. Nature Communications 2024, 15: 7063. PMID: 39152127, PMCID: PMC11329792, DOI: 10.1038/s41467-024-51395-6.Peer-Reviewed Original ResearchConceptsStructure-function correspondenceBrain regionsMacroscale gradientWhite matter connectivityHuman brain regionsStructure-function couplingNeural network propertiesAssociation cortexCognitive functionBridging neuroscienceFunctional coactivationOrganizational axisCortical thicknessHuman brainMotor cortexLanguage processingBrainCortexMotor functionNatural language processingNetwork propertiesMotorNeuroscienceNatural languageData repositoriesMultimodal 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
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 Research
2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.Peer-Reviewed Original Research
2015
Methodological Issues in fMRI Functional Connectivity and Network Analysis
Finn E, Scheinost D, Shen X, Papademetris X, Constable R. Methodological Issues in fMRI Functional Connectivity and Network Analysis. 2015, 697-704. DOI: 10.1016/b978-0-12-397025-1.00352-3.Peer-Reviewed Original Research
2013
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data
Scheinost D, Shen X, Finn E, Sinha R, Constable R, Papademetris X. Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. Mathematics And Visualization 2013, 219-227. DOI: 10.1007/978-3-319-02475-2_20.Peer-Reviewed Original Research
2012
Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety
Hampson M, Stoica T, Saksa J, Scheinost D, Qiu M, Bhawnani J, Pittenger C, Papademetris X, Constable T. Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety. Journal Of Visualized Experiments 2012 DOI: 10.3791/3535-v.Peer-Reviewed Original Research
2009
Intrinsic Connectivity Contrast: A Voxel Level Summary of Tissue Connectivity
Constable, Hara Y, Tokoglu F, Papademetris X. Intrinsic Connectivity Contrast: A Voxel Level Summary of Tissue Connectivity. NeuroImage 2009, 47: s186. DOI: 10.1016/s1053-8119(09)72066-x.Peer-Reviewed Original Research
2005
Spatial resolution, signal-to-noise ratio, and smoothing in multi-subject functional MRI studies
Scouten A, Papademetris X, Constable R. Spatial resolution, signal-to-noise ratio, and smoothing in multi-subject functional MRI studies. NeuroImage 2005, 30: 787-793. PMID: 16343951, DOI: 10.1016/j.neuroimage.2005.10.022.Peer-Reviewed Original ResearchConceptsSingle-subject studySpecific cortical regionsFunctional MRI studyBasic neuroscience studiesRandom effects analysisNeurosurgical interventionHemodynamic responseMRI studiesCortical activityCortical regionsFunctional MRIBrain functionFunctional anatomyNeurosurgical planningFunctional mappingSubtle activationClinical environmentGroup-level statisticsNeurophysiological underpinningsPartial volume effectsActivationNeuroscience studiesPatientsGroup statisticsBioImage Suite: An integrated medical image analysis suite
Papademetris X, Jackowski M, Rajeevan N, Constable R, Staib L. BioImage Suite: An integrated medical image analysis suite. Insight Journal 2005 DOI: 10.54294/vb5z20.Chapters
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 ResearchThe Active Elastic Model
Papademetris X, Constable R, Onat E, Duncan J, Sinusas A, Dione D. The Active Elastic Model. Lecture Notes In Computer Science 2001, 2082: 36-49. DOI: 10.1007/3-540-45729-1_4.Peer-Reviewed Original Research
2000
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation
Papademetris X, Sinusas A, Dione D, Constable R, Duncan J. Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. Lecture Notes In Computer Science 2000, 1935: 678-686. DOI: 10.1007/978-3-540-40899-4_70.Peer-Reviewed Original Research
1999
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models
Papademetris X, Shi P, Dione D, Sinusas A, Constable R, Duncan J. Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models. Lecture Notes In Computer Science 1999, 1613: 352-357. DOI: 10.1007/3-540-48714-x_28.Peer-Reviewed Original Research