2013
Functional Brain Networks Associated With Cognitive Control, Cocaine Dependence, and Treatment Outcome
Worhunsky PD, Stevens MC, Carroll KM, Rounsaville BJ, Calhoun VD, Pearlson GD, Potenza MN. Functional Brain Networks Associated With Cognitive Control, Cocaine Dependence, and Treatment Outcome. Psychology Of Addictive Behaviors 2013, 27: 477-488. PMID: 22775772, PMCID: PMC3743442, DOI: 10.1037/a0029092.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnalysis of VarianceBehavior, AddictiveCase-Control StudiesCerebral CortexCocaine-Related DisordersCognitive Behavioral TherapyData Interpretation, StatisticalExecutive FunctionFemaleFunctional NeuroimagingHumansLimbic SystemLinear ModelsMagnetic Resonance ImagingMaleMotivationNerve NetOxygenPrincipal Component AnalysisPsychomotor PerformanceStroop TestTreatment OutcomeConceptsCognitive controlCocaine dependencePoor cognitive controlCognitive control processesFunctional networksTreatment retentionDistinct functional networksIndependent component analysisFunctional brain networksConflict monitoringStroop taskTreatment outcome measuresMotivational processingCocaine-dependent patientsPrefrontal networkBrain networksSubcortical networksFunctional connectivityControl participantsFMRI dataRegional activationReduced involvementCortical networksTreatment developmentControl process
2007
A method for functional network connectivity among spatially independent resting-state components in schizophrenia
Jafri MJ, Pearlson GD, Stevens M, Calhoun VD. A method for functional network connectivity among spatially independent resting-state components in schizophrenia. NeuroImage 2007, 39: 1666-1681. PMID: 18082428, PMCID: PMC3164840, DOI: 10.1016/j.neuroimage.2007.11.001.Peer-Reviewed Original ResearchConceptsFunctional network connectivityFunctional connectivityTime courseICA time coursesHealthy controlsMagnetic resonance imaging dataHealthy individualsPatientsBrain disordersBrain regionsState fMRI dataCortical processingSchizophreniaFunctional magnetic resonance imaging (fMRI) dataSpatial independent component analysisSignificant differencesBrain networksComponent time coursesTemporal relationshipCoherent brain regionsBrainFMRI dataCourseImaging dataSeed voxels
2005
Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis
Calhoun VD, Adali T, Stevens MC, Kiehl KA, Pekar JJ. Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis. NeuroImage 2005, 25: 527-538. PMID: 15784432, DOI: 10.1016/j.neuroimage.2004.12.012.Peer-Reviewed Original ResearchConceptsPrior informationIndependent component analysisData analysis applicationsSemi-blind independent component analysisData-driven approachThree-stimulus auditory oddball paradigmTemporal constraintsAnalysis applicationsICA analysisTime-course informationFlexible wayPresence of noiseCourse informationRegression approachSimulation resultsBlind source separation techniqueExplicit constraintsFlexible modeling approachFMRI dataSource separation techniquesInformationUseful applicationsHigher order statistical momentsModeling approachNegative associates