ArticleJournal of affective disorders reports2021
Depression over Time in Persons with Stroke: A Network Analysis Approach.
Article in Journal of affective disorders reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Exploring the occurence and risk factors of post-stroke depression among stroke survivors in Africa: a comprehensive systematic review and meta-analysis.BMC public health · 2025Pooled it
- Network analysis of social isolation, loneliness, depression and anxiety among post-discharge rehabilitation patients.Frontiers in psychiatry · 2026Article
- Network analysis of mutuality and depression symptoms in stroke survivors in China.Scientific reports · 2025Article
- Anticipating depression trajectories by measuring plasticity and change through symptom network dynamics.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- What Impacts What: Clinicians' Perspectives of Causality in Aphasia Rehabilitation.American journal of speech-language pathology · 2024Article
- A network analysis of exhaustion disorder symptoms throughout treatment.BMC psychiatry · 2024Article
- Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.Psychiatry and clinical neurosciences · 2024Article
- Early poststroke clinically significant fatigue predicts functional independence: a prospective longitudinal study.Frontiers in neurology · 2024Article
- Psychopathological network for early-onset post-stroke depression symptoms.BMC psychiatry · 2023Article
- Complexity of Participation Post-Stroke: Longitudinal Assessment of Community Participation, Positive Affect, Social Support and Functional Independence.Journal of rehabilitation medicine · 2022Article
- Review
- Neural Substrates of Poststroke Depression: Current Opinions and Methodology Trends.Frontiers in neuroscience · 2022Review
- Exploring the Complexity of Aphasia With Network Analysis.Journal of speech, language, and hearing research : JSLHR · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundNetwork analysis has been used to elucidate the relationships among depressive symptoms, but this approach has not been typically used in persons with stroke.
methodUsing a sample of 835 persons with stroke from Stroke Recovery in Underserved Populations 2005-2006 dataset, this study used network analysis to (1) examine changes in relationships between depressive symptoms over time, and (2) test whether baseline network characteristics were prognostic for depression persistence. Network analysis was performed on depressive symptoms collected at discharge from inpatient rehabilitation and at 3-months and 12-months post-discharge.
resultsThe depressive symptom network at discharge was less connected than at both post-discharge follow-ups. Trouble focusing and feeling good as others were the most predictable symptoms at post-discharge, even though they were less connected to other depressive symptoms. Among participants with elevated baseline depression severity, those whose depression persisted 12 months later had more strongly connected networks at discharge than those who recovered 12 months later. LIMITATIONS: This study was unable to determine the directionality of edges. The depression scale was administered differently across time points.
conclusionThese results suggest that baseline network connectivity can predict the course of post-stroke depression, similar to non-stroke populations. More broadly, the study highlights the importance of examining relationships between individual depressive symptoms rather than only sum-scores.
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Registered trials
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