ArticleTranslational psychiatry2022
Structural disconnection-based prediction of poststroke depression.
Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- Depression is an independent risk factor for stroke reccurence and cognitive impairment in stroke patients.Translational psychiatry · 2025Trial
- Symptom Network and Lesion Mapping of Post-Stroke Depression, Cognitive Impairment, and Dysfunction: A Multicenter Cohort Study.Brain and behavior · 2026Observational
- Polygenic risk for depression is associated with post-stroke depression and stroke.IBRO neuroscience reports · 2026Article
- Post-Stroke Depression Is Associated With Shared Neurodevelopmental Risk and Circuit Disruption.Brain and behavior · 2026Article
- A deep-learning model for predicting post-stroke cognitive impairment based on brain network damage.Quantitative imaging in medicine and surgery · 2025Article
- Genetic Polymorphisms and Gene-Environment Interactions in Persistent Post-Stroke Depression.Neuropsychiatric disease and treatment · 2025Article
- Structural Disconnections Caused by White Matter Hyperintensities in Post-Stroke Spatial Neglect.Human brain mapping · 2024Article
- The need for hemispheric separation in pairwise structural disconnection studies.Human brain mapping · 2023Article
- Psychopathological network for early-onset post-stroke depression symptoms.BMC psychiatry · 2023Article
- Neuroanatomy of post-stroke depression: the association between symptom clusters and lesion location.Brain communications · 2023Article
- Neuroimaging mechanisms of acupuncture on functional reorganization for post-stroke motor improvement: a machine learning-based functional magnetic resonance imaging study.Frontiers in neuroscience · 2023Article
- Associations of lesion location, structural disconnection, and functional diaschisis with depressive symptoms post stroke.Frontiers in neurology · 2023Article
- Predictive microbial feature analysis in patients with depression after acute ischemic stroke.Frontiers in aging neuroscience · 2023Article
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Poststroke depression (PSD) is a common complication of stroke. Brain network disruptions caused by stroke are potential biological determinants of PSD but their conclusive roles are unavailable. Our study aimed to identify the strategic structural disconnection (SDC) pattern for PSD at three months poststroke and assess the predictive value of SDC information. Our prospective cohort of 697 first-ever acute ischemic stroke patients were recruited from three hospitals in central China. Sociodemographic, clinical, psychological and neuroimaging data were collected at baseline and depression status was assessed at three months poststroke. Voxel-based disconnection-symptom mapping found that SDCs involving bilateral temporal white matter and posterior corpus callosum, as well as white matter next to bilateral prefrontal cortex and posterior parietal cortex, were associated with PSD. This PSD-specific SDC pattern was used to derive SDC scores for all participants. SDC score was an independent predictor of PSD after adjusting for all imaging and clinical-sociodemographic-psychological covariates (odds ratio, 1.25; 95% confidence interval, 1.07, 1.48; P = 0.006). Split-half replication showed the stability and generalizability of above results. When added to the clinical-sociodemographic-psychological prediction model, SDC score significantly improved the model performance and ranked the highest in terms of predictor importance. In conclusion, a strategic SDC pattern involving multiple lobes bilaterally is identified for PSD at 3 months poststroke. The SDC score is an independent predictor of PSD and may improve the predictive performance of the clinical-sociodemographic-psychological prediction model, providing new evidence for the brain-behavior mechanism and biopsychosocial theory of PSD.
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