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Impact of Neurologic Deficits on Motor Imagery: A Systematic Review of Clinical Evaluations

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Abstract

Motor imagery (MI, the mental representation of an action without engaging in its actual execution) is a therapeutically relevant technique to promote motor recovery after neurologic disorders. MI shares common neural and psychological bases with physical practice. Interestingly, both acute and progressive neurologic disorders impact brain motor networks, hence potentially eliciting changes in MI capacities. How experimental neuroscientists and medical practitioners should assess and take into account these changes in order to design fruitful interventions is largely unresolved. Understanding how the psychometric, behavioral and neurophysiological correlates of MI are impacted by neurologic disorders is required. To address this brain-behavior issue, we conducted a systematic review of MI data in stroke, Parkinson’s disease, spinal cord injury, and amputee participants. MI evaluation methods are presented. Redundant MI profiles, primarily based on psychometric and behavioral evaluations, emerged in each clinical population. When present, changes in the psychometric and behavioral correlates of MI were highly congruent with the corresponding motor impairments. Neurophysiological recordings yielded specific changes in cerebral activations during MI, which mirrored structural and functional reorganizations due to neuroplasticity. In this view, MI capacities may not be deteriorated per se by neurologic diseases resulting in chronic motor incapacities, but adjusted to the current state of the motor system. Literature-driven orientations for future clinical research are provided.

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Notes

  1. Participants with motor deficits are usually requested to press an answer command with lesser or unaffected body parts, or on the basis of eye movements, so as to prevent a confounding effect of motor deficits on RTs.

  2. See data in PKD participants in Sabate et al. (2004), data in AMP participants in Malouin et al. (2009a), and data in STR participants in Decety and Boisson (1990).

  3. See data in participants with a right hemisphere STR in Sabate et al. (2004), data from the implicit MI task in Dominey et al. (1995).

  4. There are many examples in the MP literature of such tests with STR, PKD, SCI and AMP people.

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Acknowledgments

We gratefully acknowledge Audrey Fournié for her technical assistance in data collection.

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  1. Centre de Recherche et d’Innovation sur le Sport, EA 647, Performance Mentale, Motrice et du Matériel, Université de Lyon, Université Claude Bernard Lyon 1, 69622, Villeurbanne, France

    Franck Di Rienzo, Christian Collet, Nady Hoyek & Aymeric Guillot

  2. Institut Universitaire de France, 75000, Paris, France

    Aymeric Guillot

  3. Centre de Recherche et d’Innovation sur le Sport, Université de Lyon, Université Claude Bernard Lyon 1, 27-29 Boulevard du 11 Novembre 1918, 69622, Villeurbanne cedex, France

    Aymeric Guillot

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  1. Franck Di Rienzo
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Di Rienzo, F., Collet, C., Hoyek, N. et al. Impact of Neurologic Deficits on Motor Imagery: A Systematic Review of Clinical Evaluations. Neuropsychol Rev 24, 116–147 (2014). https://doi.org/10.1007/s11065-014-9257-6

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