2024
The involvement of the cerebellar vermis across the psychotic-affective spectrum in enriched samples of recent-onset schizophrenia, bipolar disorder, and major depressive disorder
Xiao Y, Kandala S, Huang J, Liu J, McGonigle T, Barch D, Tang Y, Fan G, Wang F, Womer F. The involvement of the cerebellar vermis across the psychotic-affective spectrum in enriched samples of recent-onset schizophrenia, bipolar disorder, and major depressive disorder. Journal Of Psychiatric Research 2024 DOI: 10.1016/j.jpsychires.2024.11.023.Peer-Reviewed Original ResearchBipolar disorderFunctional connectivityVermis volumeDepressive disorderCognitive measuresSpectrum of schizophreniaRecent-onset schizophreniaCerebellar vermisBrain functional connectivityPsychotic psychopathologyTotal vermisMDDSchizophreniaSubcortical regionsVisual learningFrontotemporal regionsPosterior vermisExploratory analysisDisordersCanonical correlationVermisFunctional alterationsNo significant associationSubregionsSignificant diagnosesExploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
Li L, Zhang L, Cao P, Yang J, Wang F, Zaiane O. Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. Lecture Notes In Computer Science 2024, 15002: 195-205. DOI: 10.1007/978-3-031-72069-7_19.Peer-Reviewed Original ResearchBrain functional modulesState-of-the-art performanceMajor depressive disorderTransformer-based frameworkSelf-attention mechanismState-of-the-artEnd-to-endSpatio-temporal representationBrain disorder diagnosisBipolar disorderBrain disordersDiagnosis of major depressive disorderPatterns of brain activityClustering strategyDynamic brain functionAssociated with brain disordersDepressive disorderExperimental resultsDisorder diagnosisBrain activitySpatio-temporal characteristicsBrain functionFunctional modulesDisordersSpatio-temporal patternsEnhancing Early Diagnosis of Bipolar Disorder in Adolescents through Multimodal Neuroimaging
Wu J, Lin K, Lu W, Zou W, Li X, Tan Y, Yang J, Zheng D, Liu X, Lam B, Xu G, Wang K, McIntyre R, Wang F, So K, Wang J. Enhancing Early Diagnosis of Bipolar Disorder in Adolescents through Multimodal Neuroimaging. Biological Psychiatry 2024 PMID: 39069165, DOI: 10.1016/j.biopsych.2024.07.018.Peer-Reviewed Original ResearchAt-risk adolescentsBipolar disorderBehavioral assessmentBD patientsDiagnosis of bipolar disorderEarly diagnosis of bipolar disordersSevere neuropsychiatric conditionMultimodal MRIAt-riskBehavioral attributesEnhancing early diagnosisSubthreshold symptomsClinical interviewPsychiatric symptomsNeuropsychiatric conditionsStructural equation modelingMultimodal neuroimagingGlobal functioningBrain healthBD diagnosisBD DiagnosticsAdvanced imaging techniquesSubgroup distinctionsAdolescentsRetrospective cohortCharacterizing 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 cortexTowards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis
Jin Z, Wen G, Cao P, Liu L, Yang J, Zhu X, Zaiane O, Wang F. Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. 2024, 00: 2270-2274. DOI: 10.1109/icassp48485.2024.10446417.Peer-Reviewed Original ResearchState-of-the-art methodsRepresentation learning frameworkSupervised learning schemeSelf-attention mechanismState-of-the-artNetwork learning methodReconstruction lossContrastive lossPoor generalizationLearning schemeLearning frameworkGraph structureLearning methodsTopological informationLearning modelsCross-decodingDiagnosis resultsBrain network analysisDynamic brain network analysisMajor depressive disorderAutism spectrum disorderInformationDynamic brain networksBipolar disorderDecodingState- 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
2009
Functional and Structural Connectivity Between the Perigenual Anterior Cingulate and Amygdala in Bipolar Disorder
Wang F, Kalmar JH, He Y, Jackowski M, Chepenik LG, Edmiston E, Tie K, Gong G, Shah MP, Jones M, Uderman J, Constable RT, Blumberg HP. Functional and Structural Connectivity Between the Perigenual Anterior Cingulate and Amygdala in Bipolar Disorder. Biological Psychiatry 2009, 66: 516-521. PMID: 19427632, PMCID: PMC2830492, DOI: 10.1016/j.biopsych.2009.03.023.Peer-Reviewed Original ResearchConceptsPerigenual anterior cingulate cortexHealthy comparison subjectsBipolar disorderFunctional magnetic resonance imagingDiffusion tensor imagingFunctional connectivityWhite matterFractional anisotropyHC groupPerigenual anterior cingulateAnterior cingulate cortexMagnetic resonance imagingGray matter structuresRegional fractional anisotropyWhite matter connectivityEmotional processingFunctional connectivity measuresSignificant positive associationBD groupComparison subjectsAnterior cingulateCingulate cortexResonance imagingSignificant associationBrain regions
2008
Abnormal anterior cingulum integrity in bipolar disorder determined through diffusion tensor imaging
Wang F, Jackowski M, Kalmar JH, Chepenik LG, Tie K, Qiu M, Gong G, Pittman BP, Jones MM, Shah MP, Spencer L, Papademetris X, Constable RT, Blumberg HP. Abnormal anterior cingulum integrity in bipolar disorder determined through diffusion tensor imaging. The British Journal Of Psychiatry 2008, 193: 126-129. PMID: 18669996, PMCID: PMC2732002, DOI: 10.1192/bjp.bp.107.048793.Peer-Reviewed Original ResearchConceptsBipolar disorderWhite matter connectionsFractional anisotropyAnterior cingulumPosterior cingulumAbnormal white matter integrityWhite matter abnormalitiesBipolar disorder groupAnterior cingulate cortexDiffusion tensorWhite matter integrityHealthy groupCingulate cortexNeural systemsHealthy participantsDisorder groupDisordersAbnormalitiesCingulumConvergent evidenceGroupParticipantsEmotional regulation