Exploring 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 patternsEpigenetic molecular underpinnings of brain structural-functional connectivity decoupling in patients with major depressive disorder
Tang L, Zhao P, Pan C, Song Y, Zheng J, Zhu R, Wang F, Tang Y. Epigenetic molecular underpinnings of brain structural-functional connectivity decoupling in patients with major depressive disorder. Journal Of Affective Disorders 2024, 363: 249-257. PMID: 39029702, DOI: 10.1016/j.jad.2024.07.110.Peer-Reviewed Original ResearchMajor depressive disorderMajor depressive disorder patientsStructural-functional connectivityHPA axisDepressive disorderIncreased susceptibility to MDDSusceptibility to major depressive disorderMajor depressive disorder treatmentHealthy controlsStress-related disordersBrain network dynamicsMultimodal neuroimaging dataGender-matched healthy controlsSubcortical regionsNeuroimaging dataChronic stressCortical regionsNodal levelMedical statusFunctional networksCRHR1FKBP5CpG sitesDisordersMolecular underpinningsFrom Connectivity to Controllability: Unraveling the Brain Biomarkers of Major Depressive Disorder
Pan C, Ma Y, Wang L, Zhang Y, Wang F, Zhang X. From Connectivity to Controllability: Unraveling the Brain Biomarkers of Major Depressive Disorder. Brain Sciences 2024, 14: 509. PMID: 38790487, PMCID: PMC11119370, DOI: 10.3390/brainsci14050509.Peer-Reviewed Original ResearchMajor depressive disorderFunctional magnetic resonance imagingDepressive disorderTreatment of Major Depressive DisorderBiomarkers of major depressive disorderBrain functional networksDevelopment of precision medicine strategiesBrain regionsNetwork topology perspectiveNetwork neuroscienceBrain biomarkersBrain's abilityBrain statesPersonalized interventionsFunctional networksBrainMagnetic resonance imagingEfficacy of treatmentDisordersResonance imagingTopological perspectivePathological profileComplex dynamicsNeuroscienceLearningTowards 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 disorderDecoding