Abstract
Motor rehabilitation can be considered as a learning process in which lost skills should be restored, and new ones should be acquired on the basis of physical training. But is exercise always necessary to achieve these goals? Many authors have shown that motor imagery and observation lead to the activation of the same brain areas as their physical counterparts, and that they can cause the same plastic changes in the motor system as real physical training. The review presents data on the use of motor imagery and observation as a substitute for physical action in motor rehabilitation, on the community of their neural substrates, as well as on the behavioral and neurophysiological use of these methods in healthy people and in clinical practice.
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REFERENCES
Mulder, T., Motor imagery and action observation: cognitive tools for rehabilitation, J. Neural. Transm., 2007, vol. 114, no. 10, p. 1265.
Jeannerod, M., Neural simulation of action: a unifying mechanism for motor cognition, NeuroImage, 2001, vol. 14, p. S103.
Bisio, A., Bassolino, M., Pozzo, T., and Wenderoth, N., Boosting action observation and motor imagery to promote plasticity and learning, Neural Plast., 2018, vol. 2018, art. ID 8625861.
Mokienko, O.A., Chernikova, L.A., Frolov, A.A., and Bobrov, P.D., Motor imagery and its practical application, Neurosci. Behav. Physiol., 2014, vol. 44, no. 5, p. 483.
Mokienko, O.A., Lyukmanov, R.Kh., Chernikova, L.A., et al., Brain–computer interface: the first experience of clinical use in Russia, Hum. Physiol., 2016, vol. 42, no. 1, p. 24.
Frolov, A.A., Fedotova, I.R., Gusek, D., and Bobrov, P.D., Rhythmic brain activity and brain computer interface based on motor imagery, Usp. Fiziol. Nauk, 2017, vol. 48, no. 3, p. 72.
Bobrova, E.V., Reshetnikova, V.V., Frolov, A.A., and Gerasimenko, Yu.P., Use of imaginary lower limb movements to control brain–computer interface systems, Neurosci. Behav. Physiol., 2020, vol. 50, no. 3, p. 585.
Svishchev, I.D., The functioning of mirror neurons in the brain during learning the motor actions of the judaist, Ekstremal’naya Deyat. Chel., 2019, no. 1, p. 38.
Filimon, F., Rieth, C.A., Sereno, M.I., and Cottrell, G.W., Observed, executed, and imagined action representations can be decoded from ventral and dorsal areas, Cereb. Cortex, 2015, vol. 25, no. 9, p. 3144.
Simos, P.G., Kavroulakis, E., Maris, T., et al., Neural foundations of overt and covert actions, NeuroImage, 2017, vol. 152, p. 482.
Di Rienzo, F., Debarnot, U., Daligault, S., et al., Online and offline performance gains following motor imagery practice: a comprehensive review of behavioral and neuroimaging studies, Front. Hum. Neurosci., 2016, vol. 10, p. 315.
Kaplan, A.Ya., Neurophysiological foundations and practical realizations of the brain–machine interfaces in the technology in neurological rehabilitation, Hum. Physiol., 2016, vol. 42, no. 1, p. 103.
Boulton, H. and Mitra, S., Incomplete inhibition of central postural commands during manual motor imagery, Brain Res., 2015, vol. 1624, p. 321.
Malouin, F., Jackson, P.L., and Richards, C.L., Towards the integration of mental practice in rehabilitation programs. A critical review, Front. Hum. Neurosci., 2013, vol. 7, p. 576.
García Carrasco, D. and Aboitiz Cantalapiedra, J., Effectiveness of motor imagery or mental practice in functional recovery after stroke: a systematic review, Neurology, 2016, vol. 31, no. 1, p. 43.
Gentili, R. and Papaxanthis, C., Laterality effects in motor learning by mental practice in right-handers, Neuroscience, 2015, vol. 297, p. 231.
Sobierajewicz, J., Przekoracka-Krawczyk, A., Jaśkowski, W., et al., The influence of motor imagery on the learning of a fine hand motor skill, Exp. Brain Res., 2017, vol. 235, no. 1, p. 305.
Di Rienzo, F., Collet, C., Hoyek, N., and Guillot, A., Impact of neurologic deficits on motor imagery: a systematic review of clinical evaluations, Neuropsychol. Rev., 2014, vol. 24, no. 2, p. 116.
Mateo, S., Di Rienzo, F., Reilly, K., et al., Improvement of grasping after motor imagery in C6–C7 tetraplegia: a kinematic and MEG pilot study, Restor. Neurol. Neurosci., 2015, vol. 33, no. 4, p. 543.
Caligiore, D., Mustile, M., Spalletta, G., and Baldassarre, G., Action observation and motor imagery for rehabilitation in Parkinson’s disease: a systematic review and an integrative hypothesis, Neurosci. Biobehav. Rev., 2017, vol. 72, p. 210.
Beyaert, C., Vasa, R., and Frykberg, G.E., Gait post-stroke: pathophysiology and rehabilitation strategies, Neurophysiol. Clin., 2015, vol. 45, nos. 4–5, p. 335.
Morawietz, C. and Moffat, F., Effects of locomotor training after incomplete spinal cord injury: a systematic review, Arch. Phys. Med. Rehabil., 2013, vol. 94, no. 11, p. 2297.
Mateo, S., Di Rienzo, F., Bergeron, V., et al., Motor imagery reinforces brain compensation of reach-to-grasp movement after cervical spinal cord injury, Front. Behav. Neurosci., 2015, vol. 9, p. 234.
Pelletier, R., Higgins, J., and Bourbonnais, D., Addressing neuroplastic changes in distributed areas of the nervous system associated with chronic musculoskeletal disorders, Phys. Ther., 2015, vol. 95, no. 11, p. 1582.
Ruffino, C., Papaxanthis, C., and Lebon, F., Neural plasticity during motor learning with motor imagery practice: review and perspectives, Neuroscience, 2017, vol. 341, p. 61.
MacIver, K., Lloyd, D.M., Kelly, S., et al., Phantomlimb pain, cortical reorganization and the therapeutic effect of mental imagery, Brain, 2008, vol. 131, no. 8, p. 2181.
Di Rienzo, F., Guillot, A., Mateo, S., et al., Neuroplasticity of prehensile neural networks after quadriplegia, Neuroscience, 2014, vol. 274, p. 82.
Molina, M., Tijus, C., and Jouen, F., The emergence of motor imagery in children, J. Exp. Child Psychol., 2008, vol. 99, no. 3, p. 196.
Spruijt, S., van der Kamp, J., and Steenbergen, B., Current insights in the development of children’s motor imagery ability, Front. Psychol., 2015, vol. 6, p. 787.
Kalicinski, M., Kempe, M., and Bock, O., Motor imagery: effects of age, task complexity, and task setting, Exp. Aging Res., 2015, vol. 41, no. 1, p. 25.
van der Meulen, M., Allali, G., Rieger, S.W., et al., The influence of individual motor imagery ability on cerebral recruitment during gait imagery, Hum. Brain Mapp., 2014, vol. 35, no. 2, p. 455.
Malouin, F., Richards, C.L., Durand, A., et al., Effects of practice, visual loss, limb amputation, and disuse on motor imagery vividness, Neurorehabil. Neural Repair, 2009, vol. 23, no. 5, p. 449.
Debarnot, U., Sperduti, M., Di Rienzo, F., and Guillot, A., Experts bodies, experts’ minds: How physical and mental training shape the brain, Front. Hum. Neurosci., 2014, vol. 8, p. 280.
Guillot, A., Di Rienzo, F., Macintyre, T., et al., Imagining is not doing but involves specific motor commands: a review of experimental data related to motor inhibition, Front. Hum. Neurosci., 2012, vol. 6, art. ID 247.
Harris, J.E. and Hebert, A., Utilization of motor imagery in upper limb rehabilitation: a systematic scoping review, Clin. Rehabil., 2015, vol. 29, no. 11, p. 1092.
Eaves, D.L., Riach, M., Holmes, P.S., and Wright, D.J., Motor imagery during action observation: a brief review of evidence, theory and future research opportunities, Front. Neurosci., 2016, vol. 10, p. 514.
Stins, J.F., Schneider, I.K., Koole, S.L., and Beek, P.J., The influence of motor imagery on postural sway: differential effects of type of body movement and person perspective, Adv. Cognit. Psychol., 2015, vol. 11, no. 3, p. 77.
Collet, C., Di Rienzo, F., El Hoyek, N., and Guillot, A., Autonomic nervous system correlates in movement observation and motor imagery, Front. Hum. Neurosci., 2013, vol. 7, art. ID 415.
Bunno, Y., Suzuki, T., and Iwatsuki, H., Motor imagery muscle contraction strength influences spinal motor neuron excitability and cardiac sympathetic nerve activity, J. Phys. Ther. Sci., 2015, vol. 27, no. 12, p. 3793.
Takemi, M., Masakado, Y., Liu, M., and Ushiba, J., Sensorimotor event-related desynchronization represents the excitability of human spinal motoneurons, Neuroscience, 2015, vol. 297, p. 58.
Williams, J., Pearce, A., Loporto, M., et al., The relationship between corticospinal excitability during motor imagery and motor imagery ability, Behav. Brain Res., 2012, vol. 226, no. 2, p. 369.
Bock, O., Schott, N., Papaxanthis, C., Motor imagery: lessons learned in movement science might be applicable for spaceflight, Front. Syst. Neurosci., 2015, vol. 9, art. ID 75.
Kumar, V.K., Chakrapani, M., and Kedambadi, R., Motor imagery training on muscle strength and gait performance in ambulant stroke subjects: a randomized clinical trial, J. Clin. Diagn. Res., 2016, vol. 10, no. 3, p. YC01.
Grosprêtre, S., Lebon, F., Papaxanthis, C., and Martin, A., New evidence of corticospinal network modulation induced by motor imagery, J. Neurophysiol., 2016, vol. 115, no. 3, p. 1279.
Takemi, M., Masakado, Y., Liu, M., and Ushiba, J., Event-related desynchronization reflects down-regulation of intracortical inhibition in human primary motor cortex, J. Neurophysiol., 2013, vol. 110, no. 5, p. 1158.
Cattaneo, L. and Rizzolatti, G., The mirror neuron system, Arch. Neurol., 2009, vol. 66, no. 5, p. 557.
Lebedeva, N.N., Zufman, A.I., and Mal’tsev, V.Yu., Mirror neuron system as a key to learning, personality formation and understanding of another’s mind, Usp. Fiziol. Nauk, 2017, vol. 48, no. 4, p. 16.
Bazyan, A.S., Mirror neurons, psychological role, features of functioning and emotionally saturated cognitive map of the brain, Usp. Fiziol. Nauk, 2019, vol. 50, no. 2, p. 42.
Rizzolatti, G. and Craighero, L., The mirror-neuron system, Annu. Rev. Neurosci., 2004, vol. 27, no. 1, p. 169.
Mukamel, R., Ekstrom, A.D., Kaplan, J., et al., Single-neuron responses in humans during execution and observation of actions, Curr. Biol., 2010, vol. 20, no. 8, p. 750.
Naish, K.R., Houston-Price, C., Bremner, A.J., and Holmes, N.P., Effects of action observation on corticospinal excitability: muscle specificity, direction, and timing of the mirror response, Neuropsychology, 2014, vol. 64, p. 331.
Barchiesi, G. and Cattaneo, L., Motor performance, Neuropsychology, 2015, vol. 69, p. 93.
Rizzolatti, G. and Rozzi, S., The mirror mechanism in the parietal lobe, Handb. Clin. Neurol., 2018, vol. 151, p. 555.
Rizzolatti, G., Fabbri-Destro, M., and Cattaneo, L., Mirror neurons and their clinical relevance, Nat. Clin. Pract. Neurol., 2009, vol. 5, no. 1, p. 24.
Gatti R., Rocca M.A., Fumagalli S., et al., The effect of action observation/execution on mirror neuron system recruitment: an fMRI study in healthy individuals, Brain Imaging Behav., 2017, vol. 11, no. 2, p. 565.
Calvo-Merino, B., Grezes, J., Glaser, D.E., et al., Seeing or doing? Influence of visual and motor familiarity in action observation, Curr. Biol., 2006, vol. 16, no. 19, p. 1905.
Agnew, Z.K., Wise, R.J., and Leech, R., Dissociating object directed and nonobject directed action in the human mirror system; implications for theories of motor simulation, PloS One, 2012, vol. 7, no. 4, p. e32517.
Plata Bello, J., Modrono, C., Marcano, F., and Gonzalez-Mora, J.L., Observation of simple intransitive actions: the effect of familiarity, PloS One, 2013, vol. 8, no. 9, p. e74485.
Buccino, G., Binkofski, F., Fink, G.R., et al., Action observation activates premotor and parietal areas in a somatotopic manner: an fMRI study, Eur. J. Neurosci., 2001, vol. 13, p. 400.
Gallese, V., Fadiga, L., Fogassi, L., and Rizzolatti, G., Action recognition in the premotor cortex, Brain, 1996, vol. 119, no. 2, p. 593.
Roberts, J.W., Bennett, S.J., Elliott, D., and Hayes, S.J., Top-down and bottom-up processes during observation: implications for motor learning, Eur. J. Sport Sci., 2014, vol. 14, suppl. 1, p. S250.
Ge, S., Liu, H., Lin, P., et al., Neural basis of action observation and understanding from first- and third-person perspectives: an fMRI study, Front. Behav. Neurosci., 2018, vol. 12, p. 283.
Angelini, M., Fabbri-Destro, M., Lopomo, N.F., et al., Perspective-dependent reactivity of sensorimotor mu rhythm in alpha and beta ranges during action observation: an EEG study, Sci. Rep., 2018, vol. 20, no. 8, p. 12429.
Hager, B.M., Yang, A.C., and Gutsell, J.N., Measuring brain complexity during neural motor resonance, Front. Neurosci., 2018, vol. 12, p. 758.
Bassolino, M., Sandini, G., and Pozzo, T., Activating the motor system through action observation: is this an efficient approach in adults and children? Dev. Med. Child. Neurol., 2015, vol. 57, suppl. 2, p. 42.
Borges, L.R., Fernandes, A.B., Melo, L.P., et al., Action observation for upper limb rehabilitation after stroke, Cochrane Database Syst. Rev., 2018, vol. 10, no. 10, art. ID CD011887.
Mattar, A.G. and Gribble, P.L., Motor learning by observation, Neuron, 2005, vol. 46, no. 1, p. 153.
McGregor, H.R., Cashaback, J.G.A., and Gribble, P.L., Somatosensory perceptual training enhances motor learning by observing, J. Neurophysiol., 2018, vol. 120, no. 6, p. 3017.
McGarry, L.M., Russo, F.A., Schalles, M.D., and Pineda, J., Audio-visual facilitation of mu rhythm, Exp. Brain Res., 2012, vol. 218, no. 4, p. 527.
Buccino, G., Action observation treatment: a novel tool in neurorehabilitation, Philos. Trans. R. Soc., B, 2014, vol. 369, no. 1644, art. ID 20130185.
Sarasso, E., Gemma, M., Agosta, F., et al., Action observation training to improve motor function recovery: a systematic review, Arch. Physiother., 2015, vol. 5, p. 14.
Buccino, G., Molinaro, A., Ambrosi, C., et al., Action observation treatment improves upper limb motor functions in children with cerebral palsy: a combined clinical and brain imaging study, Neural Plast., 2018, vol. 2018, p. 4843985.
Grezes, J. and Decety, J., Functional anatomy of execution, mental simulation, observation, and verb generation of actions: a meta-analysis, Hum. Brain Mapp., 2001, vol. 12, p. 1.
Caspers, S., Zilles, K., Laird, A.R., and Eickhoff, S.B., ALE meta-analysis of action observation and imitation in the human brain, NeuroImage, 2010, vol. 50, no. 3, p. 1148.
Molenberghs, P., Cunnington, R., and Mattingley, J.B., Brain regions with mirror properties: a meta-analysis of 125 human fMRI studies, Neurosci. Biobehav. Rev., 2012, vol. 36, no. 1, p. 341.
Hetu, S., Gregoire, M., Saimpont, A., et al., The neural network of motor imagery: an ALE meta-analysis, Neurosci. Biobehav. Rev., 2013, vol. 37, no. 5, p. 930.
Hardwick, R.M., Caspers, S.B., Eickhoff, S., and Swinnen, S.P., Neural correlates of action: comparing meta-analyses of imagery, observation, and execution, Neurosci. Biobehav. Rev., 2018, vol. 94, p. 31.
Savaki, H.E. and Raos, V., Action perception and motor imagery: mental practice of action, Prog. Neurobiol., 2019, vol. 175, p. 107.
Filimon, F., Nelson, J.D., Hagler, D.J., and Sereno, M.I., Human cortical representations for reaching: mirror neurons for execution, observation, and imagery, NeuroImage, 2007, vol. 37, no. 4, p. 1315.
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The study was supported by the Program of Basic Scientific Research of State Academies for 2013–2020 (SP-14, section 63) and the Program of Basic Research of the Presidium of the Russian Academy of Sciences on topic 1.43 “Fundamentals of the Technology of Physiological Adaptations.”
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Translated by E. Babchenko
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Stolbkov, Y.K., Gerasimenko, Y.P. Cognitive Motor Rehabilitation: Imagination and Observation of Motor Actions. Hum Physiol 47, 104–112 (2021). https://doi.org/10.1134/S0362119720060110
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DOI: https://doi.org/10.1134/S0362119720060110