2024
A Cross-Feature Mutual Learning Framework to Integrate Functional Connectivity and Activity for Brain Disorder Classification
Zhao M, Xu R, Zhi D, Yu S, Calhoun V, Sui J. A Cross-Feature Mutual Learning Framework to Integrate Functional Connectivity and Activity for Brain Disorder Classification. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40038938, DOI: 10.1109/embc53108.2024.10781810.Peer-Reviewed Original ResearchConceptsLearning frameworkMutual learning frameworkEnd-to-endDeep learning approachMutual knowledge transferEnsemble decisionClassification performanceCross featuresJoint lossLearning approachNetwork connectivityKnowledge transferEncodingAdaptive integrationIndependent componentsCollaborative learningDynamic dependenceTC-specificRobust characteristicsLearningStudy of brain disordersDisorder classificationEmpirical resultsCross-modal modulationAccuracySMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks
He X, Calhoun V, Du Y. SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks. Neuroscience Bulletin 2024, 40: 905-920. PMID: 38491231, PMCID: PMC11637147, DOI: 10.1007/s12264-024-01184-4.Peer-Reviewed Original ResearchConceptsIndependent component analysisFunctional magnetic resonance imagingClustering independent componentsFunctional networksIndependent component analysis methodMulti-subject fMRI dataIndependent componentsBrain functional networksFMRI dataSubject-specific functional networksFunctional magnetic resonance imaging dataOptimal model orderSmartComponent analysis
2023
Age-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains
Anderson J, Calhoun V, Pearlson G, Hawkins K, Stevens M. Age-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains. Developmental Cognitive Neuroscience 2023, 64: 101318. PMID: 37875033, PMCID: PMC10618425, DOI: 10.1016/j.dcn.2023.101318.Peer-Reviewed Original ResearchConceptsExecutive function domainsResponse inhibitionWhite matter microstructureLower response inhibitionStructure-cognition relationshipsEF abilitiesBehavioral performanceCognitive imbalanceNeurocognitive testsFunction domainTest performanceYoung adulthoodFractional anisotropyBrain changesAge 12Young adultsSS performanceWhite matter FA valuesGreater relianceWhite matter changesWhite matter microstructural differencesSubjects ages 12White matter skeletonIndependent componentsMultivariate associations
2015
Independent component analysis of functional networks for response inhibition: Inter‐subject variation in stop signal reaction time
Zhang S, Tsai S, Hu S, Xu J, Chao HH, Calhoun VD, Li C. Independent component analysis of functional networks for response inhibition: Inter‐subject variation in stop signal reaction time. Human Brain Mapping 2015, 36: 3289-3302. PMID: 26089095, PMCID: PMC4545723, DOI: 10.1002/hbm.22819.Peer-Reviewed Original ResearchConceptsStop-signal reaction timeStop-signal taskCognitive controlSignal reaction timeResponse inhibitionStop successBeta weightsReaction timeCritical executive functionFunctional networksIndependent component analysisExecutive functionError trialsSignal taskComponent processesMotor preparationBrain networksBehavioral validityMotor regionsRace modelLinear modelingGeneral linear modelingLarge sampleIndependent componentsFMRI
2012
Inferring task-related networks using independent component analysis in magnetoencephalography
Luckhoo H, Hale J, Stokes M, Nobre A, Morris P, Brookes M, Woolrich M. Inferring task-related networks using independent component analysis in magnetoencephalography. NeuroImage 2012, 62: 530-541. PMID: 22569064, PMCID: PMC3387383, DOI: 10.1016/j.neuroimage.2012.04.046.Peer-Reviewed Original ResearchConceptsIndependent component analysisResting-state networksKnowledge of task structureCombination of independent component analysisTemporal down-samplingTask-related networksExtract resting-state networksDown-SamplingResting-state MEG dataOscillatory envelopeFunctional connectivity scoresTemporal independent component analysisNetworkTask structureMEG dataAnalysis of MEG dataHilbert transformIndependent componentsTaskInverse problemAnalysis frameworkFrequency rangeFunctional networksSpatial leakageResting-state
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