Brain Connectomics Improve the Prediction of High‐Risk Depression Profiles in the First Year following Breast Cancer Diagnosis
Liang M, Chen P, Tang Y, Tang X, Molassiotis A, Knobf M, Liu M, Hu G, Sun Z, Yu Y, Ye Z. Brain Connectomics Improve the Prediction of High‐Risk Depression Profiles in the First Year following Breast Cancer Diagnosis. Depression And Anxiety 2024, 2024: 1-11. DOI: 10.1155/2024/3103115.Peer-Reviewed Original ResearchBreast cancer diagnosisLatent growth mixture modelingMultivoxel pattern analysisDepression profilesCancer diagnosisBrain connectomeBaseline resting-state functional magnetic resonance imagingResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingAssessment of depressionFrontal medial cortexBrain connectivity patternsGrowth mixture modelingDepression trajectoriesFrontal poleBrain areasRs-fMRIBreast cancerConnectivity patternsHigh riskLow riskBrainConnectomeMagnetic resonance imagingMedial cortexA Longitudinal Correlational Study of Psychological Resilience, Depression Disorder, and Brain Functional–Structural Hybrid Connectome in Breast Cancer
Liang M, Zhou J, Chen P, Song Y, Li S, Liang Y, Hu G, Hu Q, Sun Z, Yu Y, Molassiotis A, Knobf M, Ye Z. A Longitudinal Correlational Study of Psychological Resilience, Depression Disorder, and Brain Functional–Structural Hybrid Connectome in Breast Cancer. Depression And Anxiety 2024, 2024 DOI: 10.1155/2024/9294268.Peer-Reviewed Original ResearchDepressive disorderMultivoxel pattern analysisDiffusion tensor imagingPsychological resilienceRs-fMRICorrelational tractographyResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingLongitudinal correlational studyDSM-5Frontal poleBrain areasRisk of DDHigher psychological resilienceBreast cancerMediator variablesTensor imagingConnectomeBrainMagnetic resonance imagingDepressionDisordersPsychiatry physiciansPattern analysisResonance imaging