Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis
Vu T, Laport F, Yang H, Calhoun V, Adal T. Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis. IEEE Transactions On Biomedical Engineering 2024, 71: 3531-3542. PMID: 39042541, PMCID: PMC11754528, DOI: 10.1109/tbme.2024.3432273.Peer-Reviewed Original ResearchIndependent vector analysisIndependent component analysisIVA approachesIndependent vector analysis algorithmMulti-subject functional magnetic resonance imagingHigher-order statistical informationMulti-subject dataSingle-subject mappingModel interferenceMultiple datasetsPrior informationNovel methodStatistical dependenceDatasetSeparation qualityStatistical informationComputational issuesVariable thresholdAlgorithmStatistical diversityModel matchingVector analysisQuality of separationComponent analysisInformationReproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool
Laport F, Dapena A, Vu T, Yang H, Calhoun V, Adali T. Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool. 2015 23rd European Signal Processing Conference (EUSIPCO) 2024, 802-806. DOI: 10.23919/eusipco63174.2024.10715160.Peer-Reviewed Original ResearchBlind source separationMatrix decomposition techniqueLinear blind source separationMulti-subject functional magnetic resonance imagingIndependent vector analysisPermutation ambiguityBSS techniquesDecomposition techniqueModel order selectionSource separationData-driven approachFunctional magnetic resonance imagingModel matchingModel orderComputational reproducibilityOrder selectionFMRI datasetsSuboptimal resultsMatchingDataset
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