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Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

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Published on: May 10, 2024

Motor imagery and aging.

Arnaud Saimpont¹, Francine Malouin, Béatrice Tousignant

¹École de Psychologie, Université Laval, Québec, Canada.

Journal of Motor Behavior

|February 12, 2013

Summary

Motor imagery (MI), the mental simulation of movement, shows preserved ability for simple tasks in older adults. Mental practice may offer a safe way to maintain or improve motor function in the elderly.

Area of Science:

Neuroscience
Gerontology
Motor Control

Background:

Motor imagery (MI) involves mentally simulating actions without physical execution.
Mental practice, using repeated imagined movements, enhances motor function in sports and rehabilitation.
Aging can lead to motor function impairments, suggesting potential benefits of MI for the elderly.

Purpose of the Study:

To review existing research on MI in healthy older adults (55+).
To examine psychophysical and neuroimaging data regarding MI in this demographic.
To highlight the potential of mental practice for preserving/improving motor function in aging individuals.

Main Methods:

Review of psychophysical studies on MI in adults aged 55 and older.
Analysis of neuroimaging and neurostimulation data investigating MI in older adults.

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Synthesis of findings to assess the efficacy and application of MI in elderly populations.

Main Results:

Older adults show largely preserved psychophysical abilities for imagining simple, usual movements.
Age-related alterations are observed in the mental simulation of complex, unusual movements.
Neuroimaging and neurostimulation data indicate sensorimotor system engagement during MI in older adults.

Conclusions:

MI is a viable cognitive tool for older adults, with preserved capacity for certain motor imagination tasks.
Mental practice presents a safe, accessible strategy for maintaining or enhancing motor function in the elderly.
Further research is recommended to optimize MI-based interventions for geriatric populations.