2024
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer’s Disease and Cognitive Impairment
Kolla S, Falakshahi H, Abrol A, Fu Z, Calhoun V. Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer’s Disease and Cognitive Impairment. Sensors 2024, 24: 814. PMID: 38339531, PMCID: PMC10857295, DOI: 10.3390/s24030814.Peer-Reviewed Original ResearchConceptsGraph metricsFunctional network connectivityIndependent component analysisResting state fMRI dataData-driven methodologyNetwork connectivityNovel metricFunctional nodesNode sizeNodesLocal graph metricsMetricsNode dimensionsGraphAlzheimer's diseaseMild cognitive impairmentNetwork neuroscienceNeuroimaging researchNeuroimaging investigations
2023
Deep Generative Transfer Learning Predicts Conversion To Alzheimer’S Disease From Neuroimaging Genomics Data
Dolci G, Rahaman M, Galazzo I, Cruciani F, Abrol A, Chen J, Fu Z, Duan K, Menegaz G, Calhoun V. Deep Generative Transfer Learning Predicts Conversion To Alzheimer’S Disease From Neuroimaging Genomics Data. 2023, 00: 1-5. DOI: 10.1109/icasspw59220.2023.10193683.Peer-Reviewed Original ResearchInterpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment
Gao Y, Lewis N, Calhoun V, Miller R. Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. Computers In Biology And Medicine 2023, 161: 107005. PMID: 37211004, PMCID: PMC10365638, DOI: 10.1016/j.compbiomed.2023.107005.Peer-Reviewed Original ResearchConceptsMild cognitive impairmentDynamic functional network connectivityCognitive impairmentResting-state functional magnetic resonance imagingDementia interventionsFunctional magnetic resonance imagingAlzheimer's diseaseCognitive healthPatient deteriorationFunctional network connectivityCognitive abilitiesShort-term memoryRs-fMRIBrain connectivityResolved measurementsDynamic brain connectivityMagnetic resonance imaging
2022
Safety and biomarker effects of candesartan in non-hypertensive adults with prodromal Alzheimer’s disease
Hajjar I, Okafor M, Wan L, Yang Z, Nye J, Bohsali A, Shaw L, Levey A, Lah J, Calhoun V, Moore R, Goldstein F. Safety and biomarker effects of candesartan in non-hypertensive adults with prodromal Alzheimer’s disease. Brain Communications 2022, 4: fcac270. PMID: 36440097, PMCID: PMC9683395, DOI: 10.1093/braincomms/fcac270.Peer-Reviewed Original ResearchProdromal Alzheimer's diseaseMild cognitive impairmentCognitive effectsCognitive functionCognitive impairmentNon-hypertensive individualsAlzheimer's diseasePositive cognitive effectsAssociated with improved executive functionComposite cognitive scoreGlobal cognitive functionFunctional network connectivityImproving global cognitive functionBrain amyloid accumulationExecutive functionExploratory outcomesCognitive measuresSubcortical networksHippocampal volumeNon-hypertensive adultsFalse discovery rate correctionParahippocampal regionIntention-to-treat approachPlacebo-controlled trialNon-hypertensive participants