Evidence map›Paper›PMID 42817934›Full record

SynthesisF1000Research2026

Robotic Training and Neural Reorganization in Stroke: A Systematic Review.

Iyyappan Manickavasagam, Vignesh Srinivasan, Satheeskumar Durairaj, Animesh Hazari, Praveen Kumar Kanadakurti

Abstract readSystematic Review
In one paragraph

Synthesis in F1000Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Iyyappan ManickavasagamSaveetha College of Physiotherapy, Saveetha Institute of Medical & Technical Science (SIMATS), SIMATS Deemed University, Chennai, Tamil Nadu, India.
Vignesh SrinivasanSaveetha College of Physiotherapy, Saveetha Institute of Medical & Technical Science (SIMATS), SIMATS Deemed University, Chennai, Tamil Nadu, India.
Satheeskumar DurairajCollege of Health Sciences, Gulf Medical University, Ajman, Ajman, United Arab Emirates.ORCID https://orcid.org/0000-0002-6962-8168
Animesh HazariCollege of Health Sciences, Gulf Medical University, Ajman, Ajman, United Arab Emirates.ORCID https://orcid.org/0000-0002-3936-5029
Praveen Kumar KanadakurtiCollege of Health Sciences, Gulf Medical University, Ajman, Ajman, United Arab Emirates.ORCID https://orcid.org/0000-0003-2669-4488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke is a primary contributor to global adult morbidity, frequently resulting in debilitating gait disturbances that impede independence. While standard neurorehabilitation remains essential, the advent of robot-assisted gait training (RAGT) provides a platform for high-intensity, reproducible interventions designed to stimulate neuroplasticity. This systematic review evaluated the literature from 2015 to 2025 to determine the influence of RAGT on neural reorganization and functional outcomes in stroke survivors. Methodology: A systematic search of MEDLINE, PubMed, Scopus, and Cochrane Library was performed for studies published between 2015 and 2025. The inclusion criteria were randomized controlled trials, systematic reviews, and meta-analyses investigating RAGT in acute, subacute, and chronic stroke patients. The evaluation metrics included clinical functional scales (e.g., the Berg Balance Scale and the 10-Meter Walk Test) and neurophysiological markers (e.g., fMRI, fNIRS, QEEG, and BDNF). Results: Analysis of 23 randomized trials and multiple meta-analyses indicated that RAGT combined with conventional therapy yielded significant improvements in gait speed (standardized mean difference [SMD] = 0.47) and balance (mean difference [MD] = 4.58). Neuroimaging revealed increased activation of the primary motor cortex and supplementary motor areas. Electrophysiological data confirmed reductions in the Power Ratio Index, suggesting normalized cortical activity. End-effector systems have demonstrated superior efficacy in the subacute phase compared to exoskeletons. Conclusion: RAGT serves as a potent driver of cortical and spinal neuroplasticity by facilitating high-repetition task-specific stimuli. Early intervention during the subacute phase maximizes functional recovery. Future research should prioritize standardizing the dosing and longitudinal monitoring of neural connectivity.

Indexed as

Neuronal PlasticityRoboticsStrokeStroke RehabilitationGaitHumansRecovery of FunctionExoskeleton Device; Recovery of Function; Locomotion; Motor Skills; Neuroplasticity.

Identifiers

PMID42817934
PMCPMC13620352

What OpenQuestion holds

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Registered trials

None linked

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 OpenQuestion graph.