Comparative Analysis of Kinesthetic, Visual, and Hybrid Motor Imagery: Neural Mechanisms and Functional Implications

Motor Imagery (MI), the mental simulation of movement without overt physical execution, is a critical tool in neurorehabilitation and athletic training. However, MI is not a monolithic construct; it encompasses distinct modalities—Kinesthetic Motor Imagery (KMI), Visual Motor Imagery (VMI), and Hybrid Motor Imagery (HMI)—each engaging unique neural circuits. This professional thesis conducts a comparative analysis of these modalities, focusing on their underlying neurophysiological mechanisms and resulting functional implications. Utilizing findings from fMRI, EEG, and MEG studies, we demonstrate that KMI, characterized by a first-person perspective focused on proprioceptive feedback, recruits the core motor execution network (M1, SMA, PMC) more profoundly, evidenced by significant Mu rhythm desynchronization. VMI, conversely, particularly the third-person external perspective, relies more heavily on visual association areas and the posterior parietal cortex. Hybrid Imagery (HMI) integrates these elements, potentially optimizing vividness and engagement. This analysis concludes that while KMI offers superior direct functional congruence for motor learning and Brain-Computer Interface (BCI) applications due to its tight coupling with efferent pathways, the optimal therapeutic strategy necessitates a personalized approach, integrating HMI or VMI to maximize vividness and accommodate individual imagery capacities.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-12
DOI
https://doi.org/10.5281/zenodo.17333297
Primary Topic
Multidisciplinary Research Papers Compilation
Type
article
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article

Comparative Analysis of Kinesthetic, Visual, and Hybrid Motor Imagery: Neural Mechanisms and Functional Implications

Zenodo (CERN European Organization for Nuclear Research)
Multidisciplinary Research Papers Compilation
article

Comparative Analysis of Kinesthetic, Visual, and Hybrid Motor Imagery: Neural Mechanisms and Functional Implications

article en

Abstract

Motor Imagery (MI), the mental simulation of movement without overt physical execution, is a critical tool in neurorehabilitation and athletic training. However, MI is not a monolithic construct; it encompasses distinct modalities—Kinesthetic Motor Imagery (KMI), Visual Motor Imagery (VMI), and Hybrid Motor Imagery (HMI)—each engaging unique neural circuits. This professional thesis conducts a comparative analysis of these modalities, focusing on their underlying neurophysiological mechanisms and resulting functional implications. Utilizing findings from fMRI, EEG, and MEG studies, we demonstrate that KMI, characterized by a first-person perspective focused on proprioceptive feedback, recruits the core motor execution network (M1, SMA, PMC) more profoundly, evidenced by significant Mu rhythm desynchronization. VMI, conversely, particularly the third-person external perspective, relies more heavily on visual association areas and the posterior parietal cortex. Hybrid Imagery (HMI) integrates these elements, potentially optimizing vividness and engagement. This analysis concludes that while KMI offers superior direct functional congruence for motor learning and Brain-Computer Interface (BCI) applications due to its tight coupling with efferent pathways, the optimal therapeutic strategy necessitates a personalized approach, integrating HMI or VMI to maximize vividness and accommodate individual imagery capacities.

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Technology Madras (IN), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 34%
Multidisciplinary Research Papers Compilation
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