2019
Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis
Lee K, Khoo HM, Fourcade C, Gotman J, Grova C. Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis. Magnetic Resonance Imaging 2019, 58: 97-107. PMID: 30695721, DOI: 10.1016/j.mri.2019.01.019.Peer-Reviewed Original ResearchConceptsReal dataNumber of atomsSubject-specific thresholdFunctional connectivity MRI analysisState networksAutomatic removal methodSpatial priorsSet of voxelsBootstrap resamplingSparse dictionary learningStepwise regression procedureNoiseHub analysisRegression procedureInter-network communicationNew methodAtomsBand-pass filteringTemporal correlationFluctuationsPriorsSparsityDictionary learningNetworkWhole-brain signals
2015
Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis
Lee YB, Lee J, Tak S, Lee K, Na DL, Seo SW, Jeong Y, Ye JC, Initiative T. Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis. NeuroImage 2015, 125: 1032-1045. PMID: 26524138, DOI: 10.1016/j.neuroimage.2015.10.081.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlgorithmsAlzheimer DiseaseBrainBrain MappingCognitive DysfunctionFemaleHumansImage Processing, Computer-AssistedMachine LearningMagnetic Resonance ImagingMaleModels, TheoreticalNeural PathwaysRestConceptsSparse graph modelIndependency assumptionEstimation problemDesign matrixSparse dictionary learningSame temporal dynamicsGraph modelResting-state functional connectivity MRI analysesVariance assumptionLocal network structureSparse combinationTheoretical analysisFunctional connectivity MRI analysisGraph theoretical analysisLocal dynamicsSPM frameworkParameter mappingSummary statisticsDynamicsGlobal brain dynamicsBrain dynamicsGroup-level inferencesLocal connectivityAforementioned individualsStatistical parameter mapping