2019
Combining multiple connectomes improves predictive modeling of phenotypic measures
Gao S, Greene AS, Constable RT, Scheinost D. Combining multiple connectomes improves predictive modeling of phenotypic measures. NeuroImage 2019, 201: 116038. PMID: 31336188, PMCID: PMC6765422, DOI: 10.1016/j.neuroimage.2019.116038.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsConnectomeFemaleForecastingHumansMaleModels, NeurologicalPhenotypeYoung AdultConceptsMultiple connectomesLarge open-source datasetOpen-source datasetNovel prediction frameworkPredictive modelingSingle predictive modelPredictive modelArt algorithmsPrediction frameworkMultiple tasksPredictive model approachPrincipled waySpecific algorithmsFunctional connectivity matricesConnectivity matrixDifferent tasksPrediction performanceConnectome-based predictive modelingHuman Connectome ProjectTaskSuperior performanceAlgorithmComplementary informationNaïve extensionsConnectome Project
2016
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks
Scheinost D, Tokoglu F, Shen X, Finn ES, Noble S, Papademetris X, Constable RT. Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Transactions On Biomedical Engineering 2016, 63: 2540-2549. PMID: 27541328, PMCID: PMC5180443, DOI: 10.1109/tbme.2016.2600248.Peer-Reviewed Original ResearchConceptsGlobal brain activityResting-state networksWhole-brain connectivityBrain activityResting-state functional magnetic resonance imagingTime pointsFunctional resting-state networksFunctional magnetic resonance imagingMagnetic resonance imagingResting-state studyBrain statesRSN connectivitySensory functionSubcortical regionsResonance imagingCognitive functionCoactivation patternsUnique brain statesBrain connectivityActivity stateCritical time pointsFunctional networksSignal intensityVoxel-based methodBrain dynamics
2014
Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data
Scheinost D, Shen X, Finn E, Sinha R, Constable RT, Papademetris X. Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data. PLOS ONE 2014, 9: e93544. PMID: 24676034, PMCID: PMC3968179, DOI: 10.1371/journal.pone.0093544.Peer-Reviewed Original ResearchConceptsHealthy controlsIntrinsic connectivity distributionCocaine-dependent subjectsResting-state scansSeed-based analysisConnectivity analysisSimilar brain regionsBasic neuroscience researchMagnetic resonance imaging dataPsychiatric diseasesVoxel-based resultsConnectivity differencesBrain regionsClinical toolFunctional changesFunctional magnetic resonance imaging (fMRI) dataScansVoxel-based methodConnectivity approachNeuroscience researchConnectivity data
2013
A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI
Scheinost D, Hampson M, Qiu M, Bhawnani J, Constable RT, Papademetris X. A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI. Neuroinformatics 2013, 11: 291-300. PMID: 23319241, PMCID: PMC3644525, DOI: 10.1007/s12021-013-9176-3.Peer-Reviewed Case Reports and Technical NotesConceptsGraphics processing unitsNovel graphics processing unitMotion correction algorithmProcessing unitReal-time methodProcessing delayCorrection algorithmSystem designMotion correction strategiesOffline methodsAlgorithmAvailable softwareReal-time functional magnetic resonance imagingModular approachValuable featuresModular systemPresent algorithmReal-time fMRIMotion correctionMotion parametersSoftwareNew technologiesNew systemCorrection strategyEstimates of motion
2011
Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms
Joshi A, Scheinost D, Okuda H, Belhachemi D, Murphy I, Staib LH, Papademetris X. Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms. Neuroinformatics 2011, 9: 69-84. PMID: 21249532, PMCID: PMC3066099, DOI: 10.1007/s12021-010-9092-8.Peer-Reviewed Original ResearchConceptsUser interface controlsUser interfaceNovel object-oriented frameworkCommand-line user interfaceGraphical user interface controlsMedical image analysisObject-oriented frameworkComplex image analysisImage analysisPlatform interoperabilitySoftware objectsReusable componentsInterface controlSource codeSuch algorithmsFramework idealMultiple platformsUnified frameworkAlgorithmRapid developmentDeploymentThorough testingPublic useFrameworkPlatform
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 ResearchNew open‐source ictal SPECT analysis method implemented in BioImage Suite
Scheinost D, Teisseyre TZ, Distasio M, DeSalvo MN, Papademetris X, Blumenfeld H. New open‐source ictal SPECT analysis method implemented in BioImage Suite. Epilepsia 2010, 51: 703-707. PMID: 20074234, PMCID: PMC2963625, DOI: 10.1111/j.1528-1167.2009.02425.x.Peer-Reviewed Original Research
2009
A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images
Suh JW, Scheinost D, Dione DP, Dobrucki LW, Sinusas AJ, Papademetris X. A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images. Lecture Notes In Computer Science 2009, 12: 688-695. PMID: 20426048, PMCID: PMC2856964, DOI: 10.1007/978-3-642-04268-3_85.Peer-Reviewed Original Research