Trial reportJournal of neuroengineering and rehabilitation2025
Effect of robot-assisted gait training combined with electroacupuncture on lower limb motor function and brain network characteristics in stroke: an EEG study.
Trial report in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Post-stroke lower limb rehabilitation: a comparative study between exoskeleton robots and traditional gait training.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Robot-assisted rehabilitation for post-stroke balance and postural control: an umbrella review and evidence map of systematic reviews.Frontiers in neurology · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundStroke survivors often experience residual motor dysfunction in their limbs. Additional physical rehabilitation therapies may further improve patients' functional outcomes. By combining direct interventions targeting the cerebral cortex or subcortical structures with indirect approaches that promote central nervous system reorganization, a closed-loop regulatory system can be established. This integrated approach may generate synergistic effects, thereby enhancing functional recovery outcomes.
methodsThis 3-week single-center randomized, single-masked study involved participants randomly assigned to either the electroacupuncture (EA) combined with robot-assisted gait training (RAGT) group (n = 22) or the RAGT alone group (n = 23). EA treatment was administered once daily for 30 min, 5 days per week, while RAGT treatment received the same duration of daily sessions. Baseline and endpoint assessments included the Fugl-Meyer lower extremity (FMA-LE) motor function assessment, functional ambulation category (FAC) scale, Berg Balance Scale (BBS) and electroencephalogram.
resultsAfter a 3-week intervention period, participants in both groups showed significant improvements in FMA-LE, FAC, and BBS scores compared to baseline levels. The EA combined RAGT group exhibited a reduction in the brain symmetry index within the alpha frequency band, along with enhanced coherence between the CZ electrode and the FCZ, FC2, and C1 electrodes. Furthermore, in the theta frequency band, a shortened average path length and improved global efficiency were observed.
conclusionBoth interventions can safely and effectively improve lower limb motor function, and EA combined with RAGT combination therapy may have an advantage in promoting neuroplasticity, which may involve reversing pathological frequency spectrum imbalance after stroke, enhancing functional connections between sensorimotor-related brain regions, and optimizing the topological properties of brain functional networks. Trial registration Chinese Clinical Trial Registry (Registration No.: ChiCTR2500102382).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.