A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development
Wang Y, Qiao C, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. IEEE Transactions On Biomedical Engineering 2024, 71: 3390-3401. PMID: 38968024, PMCID: PMC11700232, DOI: 10.1109/tbme.2024.3423803.Peer-Reviewed Original ResearchDynamic effective connectivityEffective connectivityBrain developmentBrain developmental trajectoriesPhiladelphia Neurodevelopmental CohortLearning modelsNeurodevelopmental CohortBrain regionsDevelopmental trajectoriesSpatio-temporal dataInformation processing capabilitiesFuse informationCausal LearnerYoung adultsA Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
Zhang A, Zhang G, Cai B, Wilson T, Stephen J, Calhoun V, Wang Y. A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence. Network Neuroscience 2024, 8: 791-807. PMID: 39355441, PMCID: PMC11349030, DOI: 10.1162/netn_a_00384.Peer-Reviewed Original ResearchPhiladelphia Neurodevelopmental CohortEmotional circuitryFunctional connectivityBrain's emotional circuitryEmotion identification skillBrain network organizationIndividuals aged 8Emotional processingEmotion perceptionBrain circuitsNeurodevelopmental CohortFMRI dataCognitive developmentIdentification skillsEmotional changesAged 8Adolescent stageAdolescentsNetwork organizationGroup-specific patternsIntermodular connectionsEmotionsCircuit developmentAccurate performanceBrain
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