ArticleFrontiers in neurology2023
Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effect of exercise-based interventions on stroke rehabilitation: an umbrella review of systematic reviews and meta-analyses.Journal of neuroengineering and rehabilitation · 2025Pooled it
- A bibliometric analysis of electroencephalogram research in stroke: current trends and future directions.Frontiers in neurology · 2025Pooled it
- Comparative efficacy and mechanistic insights of non-invasive neuromodulation and motor rehabilitation on functional reorganization of the supplementary motor area in subacute stroke: a narrative review.Frontiers in physiology · 2026Review
- Effectiveness of Telerehabilitation-Based Therapeutic Exercise on Functional Capacity in Chronic Stroke: Study Protocol for a Multicenter Randomized Controlled Trial.Life (Basel, Switzerland) · 2025Article
- Functional brain network analysis in patients with upper-limb spasticity after stroke.Frontiers in human neuroscience · 2025Article
- Utilization of physiotherapy services and associated factors among stroke survivors attending hospitals in Gondar Town, Northwest Ethiopia.Archives of physiotherapyArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The activation patterns and functional network characteristics between stroke survivors and healthy individuals based on resting-or task-state neuroimaging and neurophysiological techniques have been extensively explored. However, the discrepancy between stroke patients at different recovery stages remains unclear. Objective: To investigate the changes in brain connectivity and network topology between subacute and chronic patients, and hope to provide a basis for rehabilitation strategies at different stages after stroke. Methods: Fifteen stroke survivors were assigned to the subacute group (SG, Results: Functional connectivity analyses showed significant interactions on frontal, parietal and occipital lobes connections in each frequency band, particularly in the delta band. The coupling strength of premotor cortex, M1, S1 and several connections linked to frontal, parietal, and occipital lobes in subacute subjects were lower than in chronic subjects in low alpha, high alpha, low beta, and high beta bands. Nodal clustering coefficient (CC) analyses revealed that the CC in chronic subjects was higher than in subacute subjects in the ipsilesional S1 and occipital area, contralesional dorsolateral prefrontal cortex and parietal area. Characteristic path length (CPL) analyses showed that CPL in subacute subjects was lower than in chronic subjects in low beta, high beta, and gamma bands. There were no significant differences between subacute and chronic subjects for small-world property. Conclusion: Subacute stroke survivors were characterized by higher transfer efficiency of the entire brain network and weak local nodal effects. Transfer efficiency was reduced, the local nodal role was strengthened, and more neural resources needed to be mobilized to perform motor tasks for chronic survivors. Overall, these results may help to understand the remodeling pattern of the brain network for different post-stroke stages on task conditions and the mechanism of spontaneous recovery.
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