Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders.
Zheng J, Zong X, Tang L, Guo H, Zhao P, Womer F, Zhang X, Tang Y, Wang F. Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders. Psychological Medicine 2024, 54: 2774-2784. PMID: 38804091, DOI: 10.1017/s0033291724000886.Peer-Reviewed Original ResearchGray matter volumeMood disordersGenetic vulnerabilityDepressive disorderHeterogeneity of mood disordersRegional gray matter volumeDrug-free patientsClinical behaviorIncreased genetic vulnerabilityGenetic riskSevere depressive symptomsClinical manifestationsBipolar disorderDrug-naiveFrontal cortexPolygenic risk scoresMatter volumeDepressive symptomsNeurocognitive assessmentCognitive impairmentPrimary motor cortexBehavioral termsDisordersHealthy controlsMotor cortexState- and trait-related dysfunctions in bipolar disorder across different mood states: a graph theory study
Chen Y, Zhao P, Pan C, Chang M, Zhang X, Duan J, Wei Y, Tang Y, Wang F. State- and trait-related dysfunctions in bipolar disorder across different mood states: a graph theory study. Journal Of Psychiatry And Neuroscience 2024, 49: e11-e22. PMID: 38238036, PMCID: PMC10803102, DOI: 10.1503/jpn.230069.Peer-Reviewed Original ResearchConceptsDepressed BDBipolar disorderEuthymic BDMood statesManic BDDiffusion-tensor imagingHealthy controlsGenetic riskWhite matter networksGlobal efficiencyFrontolimbic circuitsCross-sectional natureStructural topological propertiesGraph theory approachSecondary analysisMedication effectsLocal network changesMoodLocal efficiencyClinical variablesEpisode countsNetwork changesDisordersStructural networkHigh-risk individuals