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EDITORIAL article

Front. Neurol., 03 November 2025

Sec. Neurorehabilitation

Volume 16 - 2025 | https://doi.org/10.3389/fneur.2025.1698611

This article is part of the Research TopicCognitive Strategies in motor learning and RehabilitationView all 11 articles

Editorial: Cognitive strategies in motor learning and rehabilitation

  • 1School of Biomedical, Nutritional and Sport Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom
  • 2University of Parma, Parma, Italy
  • 3Division of Neuroscience, San Raffaele Hospital (IRCCS), Milan, Italy
  • 4Università Vita-Salute San Raffaele, Milan, Italy

Aims and context

Recent experimental evidence shows the motor system has evolved beyond its role as a simple executor of movement. Increasingly, it is viewed as an active participant in the perceptual-cognitive processes relating to action observation (AO), action understanding, motor imagery (MI), and verbal or symbolic representations of movement. This broader framework has led to the conceptualization of action re-enactment. This refers to the internal activation of motor-related neural structures in the absence of overt movement.

This Research Topic aims at providing a state-of-the-art overview of how cognitive strategies, such as AO and MI, are being deployed to understand and enhance motor performance across diverse populations. The contributions presented here span clinical and non-clinical domains, integrating theoretical, empirical, and applied perspectives. Methodologies range from neuroimaging and behavioral studies to systematic reviews, meta analyses, and intervention protocols. Collectively, these studies underscore the versatility of cognitive-motor strategies and their potential for improving functional outcomes, from skill acquisition to neurorehabilitation.

Based on studies examining both the neurophysiological mechanisms that support cognitive-motor functions and their practical applications in training and therapy, the present collection of articles investigates how action re-enactment can support motor competence, whether in healthy individuals acquiring new skills or in patients recovering lost abilities due to neurological or developmental conditions. Several of these papers explore the integration of these strategies with other modalities, such as motivation-enhancing rewards or traditional physical therapies. This includes randomized controlled trials, pilot studies, systematic reviews, meta analyses, and experimental neuroimaging. Importantly, the research touches on multiple life stages, from children with neurodevelopmental disorders to older adults with degenerative conditions, offering a broad view of how cognitive strategies adapt across contexts.

Thematic contributions

Motor learning in non-clinical contexts

While much of the research on cognitive motor strategies is clinical, cognitive motor strategies are increasingly recognized for their role in enhancing skill acquisition in healthy individuals, offering insights into the broader educational and training potential of action re-enactment. Paolini et al. explore this with a novel study on musical skill acquisition. They demonstrate that action observation training (AOT), in which learners observe expert motor actions, can enhance both the accuracy and expressiveness of musical performance in novices. This study broadens the conceptual and applied horizons of AOT, showing its value for fine motor learning in everyday and educational settings.

Cognitive strategies in stroke rehabilitation

Stroke rehabilitation remains a critical focus for cognitive motor research, where advances in mental simulation techniques and neuroimaging are reshaping how we understand and promote recovery.

Stroke rehabilitation remains a critical application for cognitive strategies. In a robust meta-analysis, Lin et al. evaluate the efficacy of combining action observation and motor imagery (AO + MI) to enhance upper-limb function post-stroke. Their findings reveal consistent and moderate-to-large improvements across randomized controlled trials, positioning AO + MI as a advantageous adjunct to conventional therapy.

Azri et al. complement this with a systematic review of task-based fMRI studies. They reveal how stroke survivors exhibit altered activation patterns, such as compensatory hyperactivation, and demonstrate that these patterns correlate with functional recovery, highlighting the potential of neuroimaging to track and guide rehabilitation.

Finally, Zhao et al. introduce an innovative protocol to assess the impact of reward-based strategies on stroke recovery. Their randomized controlled trial compares fixed vs. probabilistic rewards in motor training, aiming to optimize patient motivation and learning through reinforcement mechanisms.

Cognitive strategies and pediatric motor impairments

In pediatric populations with neurodevelopmental disorders, understanding the interplay between brain structure and motor cognition is essential for designing age-appropriate and condition-specific interventions.

Understanding motor impairments in neurodevelopmental disorders is a growing area of interest. Martinie et al. investigate feedforward control in children with cerebral palsy (CP), showing that deficits are linked to disrupted white matter tracts, particularly those involved in motor planning. Their results suggest that motor impairments in CP are not solely due to execution deficits but involve broader sensorimotor integration.

Galli et al. provide compelling evidence that children with autism spectrum disorder (ASD) can perform MI tasks comparably to their typically developing peers. These findings challenge strict interpretations of the Broken Mirror Hypothesis and support the feasibility of incorporating MI into therapeutic approaches for ASD.

Ron Baum et al. focus on attention deficit hyperactivity disorder (ADHD), arguing that impairments in motor planning and timing may stem from disruptions in internal motor representations. They advocate for MI as a targeted cognitive intervention to support motor function in affected children.

Cognitive-motor interventions in aging and neurodegeneration

Older adults and individuals with long-term physical impairments represent a growing target population for innovative action-based therapies that support both functional independence and quality of life.

Martin-Blazquez et al. present a randomized controlled study showing that AOT improves not only motor function but also cognitive outcomes in older adults with mild cognitive impairment (MCI). The intervention enhanced activities of daily living, balance, and cognition, regardless of whether the actions were observed from a therapist or peer.

Joung et al. contribute a pilot study evaluating an adapted dance program for adults with CP. Their findings show improvements in gait parameters and highlight the emotional and physical satisfaction expressed by participants. This points to dance, and possibly other embodied movement therapies, as a promising, enjoyable intervention for adult CP populations.

Complementary and integrative therapies in neurodegeneration

Li et al. propose a protocol to evaluate the safety and efficacy of traditional Chinese therapies in treating amyotrophic lateral sclerosis (ALS). Though still at the planning stage, this work signals a movement toward integrating culturally diverse, multimodal interventions within the framework of cognitive-motor rehabilitation.

Conclusions and future directions

The contributions in this Research Topic reveal the remarkable adaptability and effectiveness of cognitive strategies across contexts, from clinical rehabilitation to motor learning. They highlight the mechanisms by which action re-enactment facilitates motor recovery and skill acquisition, and they point toward promising future directions. These include integrating motivational frameworks, exploring home-based and technology-assisted interventions, and advancing standardized methods for cognitive-motor training.

To synthesize the translational pathways highlighted across this Research Topic, we introduce a conceptual “Translational Roadmap from Action Re-Enactment to Impact” (Figure 1). This framework illustrates how neural mechanisms underlying action re-enactment support cognitive strategies such as AO, MI, and AO + MI, which can be implemented through clinic-based and home-based interventions. Motivation, reward, and standardized dosing modulate their effectiveness, driving measurable motor outcomes. The roadmap is framed by principles of equity, rigor, and reproducibility to guide future research and practice toward inclusive and evidence-based translation.

Figure 1
Flowchart depicting a framework for motor outcomes. It consists of three main steps: Action Re-enactment, Neural Mechanisms, and Delivery. “Action Re-enactment” describes activating motor representations through observation, imagination, or symbolic action. “Neural Mechanisms” involves shared motor networks for strategies like Action Observation and Motor Imagery. “Delivery” explains interventions in clinics or at home using technology and feedback. Sidebars emphasize equity, reach, rigor, and reproducibility. An arrow highlights outcomes shaped by motivation, reward, and dosing for motor recovery, cognitive enhancement, and skill acquisition.

Figure 1. Translational roadmap from action re-enactment to impact. This conceptual framework integrates the key themes of the Research Topic. Action re-enactment provides the foundation for cognitive strategies, Action Observation (AO), Motor Imagery (MI), and their combination (AO + MI), supported by shared neural mechanisms. These strategies translate into applied interventions delivered both in clinical and home-based contexts, increasingly supported by technology. Motivation, reward, and standardized dosing shape their effectiveness, leading to enhanced motor and learning outcomes. Equity and reporting standards flank the translational pipeline, ensuring reach, rigor, and reproducibility across research and practice.

Future research should continue to clarify the neural substrates of action re-enactment, test combinations of interventions (e.g., AO + MI with reward), and extend findings to underserved populations. As this Research Topic illustrates, cognitive strategies grounded in the motor system offer a compelling, scalable path forward for both neuroscience and rehabilitation.

Author contributions

DE: Conceptualization, Writing – review & editing, Writing – original draft. CC: Writing – original draft, Writing – review & editing. AD: Writing – review & editing, Writing – original draft. GB: Writing – original draft, Conceptualization, Writing – review & editing.

Conflict of interest

The 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.

Generative AI statement

The author(s) declare that Gen AI was used in the creation of this manuscript. Generative AI was used in the preparation of this manuscript to help organise the papers included in this Research Topic into coherent themes.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: motor imagery, mirror neurons, action observation, mental practice, neurorehabilitation, action simulation, motor learning and control

Citation: Eaves DL, Costantino C, Demeco A and Buccino G (2025) Editorial: Cognitive strategies in motor learning and rehabilitation. Front. Neurol. 16:1698611. doi: 10.3389/fneur.2025.1698611

Received: 03 September 2025; Accepted: 13 October 2025;
Published: 03 November 2025.

Edited and reviewed by: Vignayanandam Ravindernath Muddapu, Azim Premji University, India

Copyright © 2025 Eaves, Costantino, Demeco and Buccino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Daniel L. Eaves, ZGFuaWVsLmVhdmVzQG5ld2Nhc3RsZS5hYy51aw==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.