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. 2025 Jul 23:16:1567421.
doi: 10.3389/fneur.2025.1567421. eCollection 2025.

Combined action observation and motor imagery practice for upper limb recovery following stroke: a systematic review and meta-analysis

Affiliations

Combined action observation and motor imagery practice for upper limb recovery following stroke: a systematic review and meta-analysis

Dan Lin et al. Front Neurol. .

Abstract

Introduction: Optimal upper limb recovery requires high-dose physiotherapy; however, this essential component of rehabilitation is under-delivered. Mental practice represents an accessible and cost-effective adjunct to conventional therapy. We therefore evaluated the efficacy of an enhanced mental practice treatment (combined action observation and motor imagery, AO + MI) for promoting upper limb recovery post stroke.

Methods: Searching 10 databases, we identified 18 eligible studies (N = 336), comprising nine randomized controlled trials (RCTs) and nine non-randomized controlled trials (non-RCTs). RCTs were meta-analyzed using upper limb function outcomes (Fugl-Meyer Assessment for upper extremity, FMA-UE; Action Research Arm Test, ARAT). Non-RCTs (not eligible for meta-analysis) were narratively synthesized using upper limb and neuroimaging outcomes.

Results: Seven RCTs reported FMA-UE scores (n = 189), where the standardized mean difference (SMD) for AO + MI treatments was moderate (SMD = 0.58, 95%CI: 0.13-1.04, p = 0.02). Two additional RCTs reported ARAT scores. Meta-analyzing the combined FMA-UE and ARAT scores (n = 239) revealed SMD = 0.70 (95%CI: 0.32-1.09, p = 0.003). No significant correlations existed between the pooled effect size and several moderators (age, time since stroke, intervention duration, control condition, outcome measure and AO + MI arrangement), indicating consistent AO + MI practice effects. Overall, AO + MI significantly improved upper limb function across all nine RCTs, and all nine narratively synthesized studies, including neuroimaging outcomes. Limitations included inconsistent terminology, intervention design, clarity of reporting, and modality.

Discussion: AO + MI practice can promote upper limb recovery following stroke. AO + MI can therefore be used as a bridge between AO therapy (requiring little effort in early recovery), and the more cognitively demanding MI. Researchers must adopt standardized reporting protocols to further establish AO + MI practice efficacy.

Systematic review registration: The review was registered with PROSPERO under the registration number CRD42023418370. The registration is publicly accessible at the following URL: https://www.crd.york.ac.uk/PROSPERO/view/CRD42023418370.

Keywords: combined action observation and motor imagery; imitation learning; mental practice; mirror neurons; neuroplasticity; stroke rehabilitation; stroke survivors; upper limb recovery.

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Conflict of interest statement

Author JE was employed by company Kleijnen Systematic Reviews (KSR) Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

Figure 1
Figure 1
PRISMA flow diagram of study selection. The diagram illustrates the literature search and selection process, showing sources identified, records screened and excluded, and studies included in the final review.
Figure 2
Figure 2
ROB2 summary. Summary of Risk of Bias 2 (ROB2) assessments, showing methodological quality across domains: randomization, adherence to interventions, handling of missing data, outcome measurement, and selection of reported results.
Figure 3
Figure 3
ROBINS-I summary. Summary of the ROBINS-I (Risk of bias in non-randomized studies of interventions) assessment, showing risk of bias across key domains: confounding, participant selection, intervention classification, missing data, outcome measurement, and selective reporting.
Figure 4
Figure 4
Pooled mean treatment effects of AO + MI interventions on FMA-UE total score. Pooled mean treatment effects of AO + MI (Action Observation and Motor Imagery) interventions on the FMA-UE (Fugl-Meyer Assessment for Upper Extremity) total score, based on results from multiple studies. Standardized mean differences (Cohen’s d, SMD_d) between intervention and control groups are presented with confidence intervals indicating precision.
Figure 5
Figure 5
Pooled mean treatment effects of AO + MI interventions on combined FMA-UE and ARAT score. Pooled mean treatment effects of AO + MI (Action Observation and Motor Imagery) interventions on combined FMA-UE (Fugl-Meyer Assessment for Upper Extremity) and ARAT (Action Research Arm Test) total scores. Standardized mean differences (SMD, Cohen’s d) with confidence intervals summarize the impact of AO + MI interventions on upper limb motor function across multiple studies.
Figure 6
Figure 6
Estimated regression slopes and effect sizes in AO + MI interventions for upper limb function. Bubble size represents study weight, with larger bubbles representing studies with greater influence in the analysis. SMD_d = Cohen’s d. (A) 1 = early subacute (7 days to 3 months after stroke), 3 = late subacute (3–6 months after stroke), 6 = chronic (6 months or more after stroke). (B) Age is measured in years. (C) Intervention duration is measured in weeks. (D) 1 = synchronous AO + MI, 2 = asynchronous AO + MI. (E) 0 = non-BCI study, 1 = BCI study. (F) 0 = conventional therapy, 1 = AO, 2 = MI, 3 = asynchronous AO + MI. (G) 1 = FMA_UE, 2 = ARAT.
Figure 7
Figure 7
Funnel plot. This funnel plot visualizes the effect sizes of studies against their precision (standard error) in a meta-analysis. The x-axis represents the standardized mean differences (Cohen’s d, SMD_d = Cohen’s d), while the y-axis shows the precision of each study (inverse of standard error). A symmetric funnel indicates no publication bias, while asymmetry may suggest potential publication bias or heterogeneity among studies.

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