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22-01-2024 | Research

A theoretical perspective on action consequences in action imagery: internal prediction as an essential mechanism to detect errors: a commentary on Rieger et al. 2023

Auteur: Florent Lebon

Gepubliceerd in: Psychological Research | Uitgave 6/2024

Abstract

In this position paper, the authors support with recent behavioral findings the theory of internal simulations during motor imagery, initiated in the 90’s. In this commentary, I will provide additional evidence from other research groups to support this theory and discuss the neurophysiological basis of inhibition (surround inhibition, inhibition within the primary cortex) and internal models (including the cerebellum).

vorige artikel Action imagery as active inference: a commentary on Rieger et al. (2023)

volgende artikel Motor imagery, forward models and the cerebellum: a commentary on Rieger et al., 2023

Aoyama, T., Kaneko, F., Ohashi, Y., & Nagata, H. (2016). Surround inhibition in motor execution and motor imagery. Neuroscience Letters, 629, 196–201. https://doi.org/10.1016/j.neulet.2016.07.012CrossRefPubMed

Bart, V. K. E., Koch, I., & Rieger, M. (2021a). Expectations affect the contribution of tonic global inhibition, but not of phasic global inhibition to motor imagery. Journal of Experimental Psychology: Human Perception and Performance, 47, 1621–1646. https://doi.org/10.1037/xhp0000961CrossRefPubMed

Bart, V. K. E., Koch, I., & Rieger, M. (2021b). Decay of inhibition in motor imagery. Quarterly Journal of Experimental Psychology, 74, 77–94. https://doi.org/10.1177/1747021820949388CrossRef

Bart, V. K. E., Koch, I., & Rieger, M. (2021c). Inhibitory mechanisms in motor imagery: Disentangling different forms of inhibition using action mode switching. Psychological Research Psychologische Forschung, 85, 1418–1438. https://doi.org/10.1007/s00426-020-01327-yCrossRefPubMed

Battaglia, F., Quartarone, A., Ghilardi, A. M. F., Dattola, R., Bagnato, S., Rizzo, V., Morgante, L., & Girlanda, P. (2006). Unilateral cerebellar stroke disrupts movement preparation and motor imagery. Clinincal Neurophysiology, 117, 1009–1016. https://doi.org/10.1016/j.clinph.2006.01.008CrossRef

Decety, J. (1996). The neurophysiological basis of motor imagery. Behavioural Brain Research, 77, 45–52. https://doi.org/10.1016/0166-4328(95)00225-1CrossRefPubMed

Guillot, A., Hoyek, N., Louis, M., & Collet, C. (2012). Understanding the timing of motor imagery: Recent findings and future directions. International Review of Sport and Exercise Psychology, 5, 3–22. https://doi.org/10.1080/1750984X.2011.623787CrossRef

Izawa, J., Criscimagna-Hemminger, S. E., & Shadmehr, R. (2012). Cerebellar contributions to reach adaptation and learning sensory consequences of action. Journal of Neuroscience, 32, 4230–4239. https://doi.org/10.1523/JNEUROSCI.6353-11.2012CrossRefPubMed

Jeannerod, M. (1994). The representing brain: Neural correlates of motor intention and imagery. Behavioral and Brain Sciences, 17, 187–245. https://doi.org/10.1017/S0140525X00034026CrossRef

Jeannerod, M. (2001). Neural simulation of action: A unifying mechanism for motor cognition. NeuroImage, 14, S103–S109. https://doi.org/10.1006/nimg.2001.0832CrossRefPubMed

Neige, C., Ciechelski, V., & Lebon, F. (2022). The recruitment of indirect waves within primary motor cortex during motor imagery: A directional transcranial magnetic stimulation study. European Journal of Neuroscience, 56, 6187–6200. https://doi.org/10.1111/ejn.15843CrossRefPubMed

Neige, C., RannaudMonany, D., Stinear, C. M., Byblow, W. D., Papaxanthis, C., & Lebon, F. (2020). Unravelling the modulation of intracortical inhibition during motor imagery: An adaptive threshold-hunting study. Neuroscience, 434, 102–110. https://doi.org/10.1016/j.neuroscience.2020.03.038CrossRefPubMed

Ptak, R., Schnider, A., & Fellrath, J. (2017). The dorsal frontoparietal network: A core system for emulated action. Trends in Cognitive Sciences, 21, 589–599. https://doi.org/10.1016/j.tics.2017.05.002CrossRefPubMed

RannaudMonany, D., Lebon, F., Dupont, W., & Papaxanthis, C. (2022). Mental practice modulates functional connectivity between the cerebellum and the primary motor cortex. iScience, 25, 104397. https://doi.org/10.1016/j.isci.2022.104397CrossRef

Ruffino, C., Papaxanthis, C., & Lebon, F. (2017). Neural plasticity during motor learning with motor imagery practice: Review and perspectives. Neuroscience, 341, 61–78. https://doi.org/10.1016/j.neuroscience.2016.11.023CrossRefPubMed

Schubotz, R. I. (2007). Prediction of external events with our motor system: Towards a new framework. Trends in Cognitive Sciences, 11, 211–218. https://doi.org/10.1016/j.tics.2007.02.006CrossRefPubMed

Tanaka, H., Matsugi, A., & Okada, Y. (2018). The effects of imaginary voluntary muscle contraction and relaxation on cerebellar brain inhibition. Neuroscience Research, 133, 15–20. https://doi.org/10.1016/j.neures.2017.11.004CrossRefPubMed

Titel: A theoretical perspective on action consequences in action imagery: internal prediction as an essential mechanism to detect errors: a commentary on Rieger et al. 2023
Auteur: Florent Lebon
Publicatiedatum: 22-01-2024
Uitgeverij: Springer Berlin Heidelberg
Gepubliceerd in: Psychological Research / Uitgave 6/2024
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI: https://doi.org/10.1007/s00426-023-01918-5

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