Evidence map›Paper›PMID 40291301›Full record

ArticleCureus2025

Harnessing Mirror Neurons: Improving Balance and Quality of Life After a Stroke.

Preeti Sharma, Zeeshan Ali, Sudhan S George

Abstract read
In one paragraph

Article in Cureus, 2025. 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

3 authors.

Preeti SharmaDepartment of Physiotherapy, Krupanidhi College of Physiotherapy, Bengaluru, IND.
Zeeshan AliDepartment of Physiology, Krupanidhi College of Physiotherapy, Bengaluru, IND.
Sudhan S GeorgeDepartment of Physiotherapy, Krupanidhi College of Physiotherapy, Bengaluru, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAction observation engages brain motor networks, and action imitation helps neurological and musculoskeletal problem patients improve motor learning and functional recovery. In this study, we focused on identifying the impact of action observation training (AOT) on balance and quality of life (QOL) in hemiparetic stroke patients.

methodA quasi-experimental study in Bengaluru (from December 2021 to July 2022) involved 60 hemiparetic patients randomly divided into two groups. Group A received 30 minutes of AOT alongside standard physiotherapy, while Group B received conventional therapy. Sessions focused on balance exercises, and outcomes were assessed using the Berg Balance Scale (BBS) and the Stroke-Specific Quality of Life (ss-QOL) scale. Statistical analyses, including paired and independent t-tests, highlighted significant differences, ensuring methodological rigor and ethical compliance.

resultsThe findings show a significant difference in the pretest BBS scores between the experimental and control groups (p = 0.010), with the experimental group having a lower baseline. However, there was no significant difference in posttest BBS scores (p = 0.431). Both groups showed significant improvements in their BBS and ss-QOL scores (p < 0.05). The experimental group showed a larger improvement in BBS (p = 0.001), while ss-QOL improvements were not statistically significant (p = 0.732).

conclusionThe study concluded that the experimental and control groups demonstrated significant improvements in balance and QOL after the intervention, with the experimental group showing significantly larger improvements in balance, compared to control group.

Indexed as

action observationbalancebbs scoremirror neuronquality of lifess-qol

Identifiers

PMID40291301
PMCPMC12033970

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.