Skip to main content

Advertisement

Log in

Inhibitory mechanisms in motor imagery: disentangling different forms of inhibition using action mode switching

  • Original Article
  • Published:
Psychological Research Aims and scope Submit manuscript

Abstract

In motor imagery, probably several inhibitory mechanisms prevent actual movements: global inhibition, effector-specific inhibition, and inhibition retrieved during target processing. We investigated factors that may influence those mechanisms. In an action mode switching paradigm, participants imagined and executed movements from home buttons to target buttons. We analysed sequential effects. Activation (due to execution) or inhibition (due to imagination) in the previous trial should affect performance in the subsequent trial, enabling conclusions about inhibitory mechanisms in motor imagery. In Experiment 1, evidence for global and effector-specific inhibition was observed. Evidence for inhibition retrieved during target processing was inconclusive. Data patterns were similar when start and end of the imagined movements were indicated with an effector that was part of the imagined movement (hand) and with a different effector (feet). In Experiment 2, we ruled out that the use of biological stimuli (left/right hands in Experiment 1) to indicate the effector causes sequential effects attributed to effector-specific inhibition, by using uppercase letters (R, L). As in Experiment 1, evidence for effector-specific inhibition was observed. In conclusion, we could reliably disentangle several inhibitory mechanisms in motor imagery.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. In execution trials of the foot group we have data from the release and press of the foot buttons and from the release and press of the home buttons. We compared the data from foot buttons and home buttons for RTs and MTs. No significant differences between the data from foot buttons and home buttons were observed. In imagination trials of the foot group the home buttons were not released. Thus, we used the data from foot buttons to calculate RTs and MTs in all conditions to ensure comparability between imagination and execution.

References

  • Adam, J. J., & Koch, I. (2014). Response-repetition effects depend on motor set: Evidence for anatomical coding in response selection. Human Movement Science, 33, 172–184.

    Article  PubMed  Google Scholar 

  • Alkadhi, H., Brugger, P., Boendermaker, S. H., Crelier, G., Curt, A., Hepp-Reymond, M. C., et al. (2005). What disconnection tells about motor imagery: Evidence from paraplegic patients. Cerebral Cortex, 15(2), 131–140.

    Article  PubMed  Google Scholar 

  • Aron, A. R., & Verbruggen, F. (2008). Stop the presses: Dissociating a selective from a global mechanism for stopping. Psychological Science, 19(11), 1146–1153.

    Article  PubMed  Google Scholar 

  • Bertelson, P. (1965). Serial choice reaction-time as a function of response versus signal-and-response repetition. Nature, 206, 217–218.

    Article  PubMed  Google Scholar 

  • Berthoz, A. (1996). The role of inhibition in the hierarchical gating of executed and imagined movements. Cognitive Brain Research, 3(2), 101–113.

    Article  PubMed  Google Scholar 

  • Boisgontier, M. P., Wittenberg, G. F., Fujiyama, H., Levin, O., & Swinnen, S. P. (2014). Complexity of central processing in simple and choice multilimb reaction-time tasks. PLoS ONE, 9(2), e90457.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brass, M., Bekkering, H., Wohlschläger, A., & Prinz, W. (2000). Compatibility between observed and executed finger movements: comparing symbolic, spatial, and imitative cues. Brain and Cognition, 44(2), 124–143.

    Article  PubMed  Google Scholar 

  • Brunamonti, E., Ferraina, S., & Paré, M. (2012). Controlled movement processing: Evidence for a common inhibitory control of finger, wrist, and arm movements. Neuroscience, 215, 69–78.

    Article  PubMed  Google Scholar 

  • Chan, A. H., & Chan, K. W. (2010). Three-dimensional spatial stimulus–response (S–R) compatibility for visual signals with hand and foot controls. Applied Ergonomics, 41(6), 840–848.

    Article  PubMed  Google Scholar 

  • Coxon, J. P., Stinear, C. M., & Byblow, W. D. (2007). Selective inhibition of movement. Journal of Neurophysiology, 97(3), 2480–2489.

    Article  PubMed  Google Scholar 

  • Dahm, S. F., & Rieger, M. (2016a). Is there symmetry in motor imagery? Exploring different versions of the mental chronometry paradigm. Attention, Perception, & Psychophysics, 78(6), 1794–1805.

    Article  Google Scholar 

  • Dahm, S. F., & Rieger, M. (2016b). Cognitive constraints on motor imagery. Psychological Research Psychologische Forschung, 80(2), 235–247.

    Article  PubMed  Google Scholar 

  • De Jong, R., Coles, M. G., Logan, G. D., & Gratton, G. (1990). In search of the point of no return: the control of response processes. Journal of Experimental Psychology: Human Perception and Performance, 16(1), 164–182.

    PubMed  Google Scholar 

  • Decety, J., & Grèzes, J. (1999). Neural mechanisms subserving the perception of human actions. Trends in Cognitive Sciences, 3(5), 172–178.

    Article  PubMed  Google Scholar 

  • Decety, J., & Jeannerod, M. (1996). Mentally simulated movements in virtual reality: does Fitt's law hold in motor imagery? Behavioural Brain Research, 72(1), 127–134.

    Google Scholar 

  • Decety, J., Jeannerod, M., & Prablanc, C. (1989). The timing of mentally represented actions. Behavioural Brain Research, 34(1–2), 35–42.

    Article  PubMed  Google Scholar 

  • Decety, J., & Michel, F. (1989). Comparative analysis of actual and mental movement times in two graphic tasks. Brain and Cognition, 11(1), 87–97.

    Article  PubMed  Google Scholar 

  • Di Rienzo, F., Collet, C., Hoyek, N., & Guillot, A. (2012). Selective effect of physical fatigue on motor imagery accuracy. PLoS ONE, 7(10), e47207.

    Article  PubMed  PubMed Central  Google Scholar 

  • Georgopoulos, A. P. (2000). Neural aspects of cognitive motor control. Current Opinion in Neurobiology, 10(2), 238–241.

    Article  PubMed  Google Scholar 

  • Glover, S., & Baran, M. (2017). The motor-cognitive model of motor imagery: Evidence from timing errors in simulated reaching and grasping. Journal of Experimental Psychology: Human Perception and Performance, 43(7), 1359–1375.

    PubMed  Google Scholar 

  • Greenhouse, I., Oldenkamp, C. L., & Aron, A. R. (2011). Stopping a response has global or nonglobal effects on the motor system depending on preparation. Journal of Neurophysiology, 107(1), 384–392.

    Article  PubMed  PubMed Central  Google Scholar 

  • Guillot, A., & Collet, C. (2005). Duration of mentally simulated movement: A review. Journal of Motor Behavior, 37(1), 10–20.

    Article  PubMed  Google Scholar 

  • Guillot, A., Debarnot, U., Louis, M., Hoyek, N., & Collet, C. (2010). Motor imagery and mo- tor performance: evidence from the sport science literature. In A. Guillot & C. Collet (Eds.), The Neurophysiological Foundations of Mental and Motor Imagery (pp. 215–226). New York: Oxford University Press.

    Chapter  Google Scholar 

  • Guillot, A., Di Rienzo, F., MacIntyre, T., Moran, A., & Collet, C. (2012). Imagining is not doing but involves specific motor commands: a review of experimental data related to motor inhibition. Frontiers in Human Neuroscience, 6, 247.

    Article  PubMed  PubMed Central  Google Scholar 

  • 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(1), 3–22.

    Article  Google Scholar 

  • Hommel, B. (1998). Event files: Evidence for automatic integration of stimulus-response episodes. Visual Cognition, 5, 183–216.

    Article  Google Scholar 

  • Horner, A. J., & Henson, R. N. (2008). Priming, response learning and repetition suppression. Neuropsychologia, 46(7), 1979–1991.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jeannerod, M. (1994). The representing brain: Neural correlates of motor intention and imagery. Behavioral and Brain Sciences, 17, 187–245.

    Article  Google Scholar 

  • Jeannerod, M. (2001). Neural simulation of action: A unifying mechanism for motor cognition. NeuroImage, 14, 103–109.

    Article  Google Scholar 

  • Kasess, C. H., Windischberger, C., Cunnington, R., Lanzenberger, R., Pezawas, L., & Moser, E. (2008). The suppressive influence of SMA on M1 in motor imagery revealed by fMRI and dynamic causal modeling. NeuroImage, 40(2), 828–837.

    Article  PubMed  Google Scholar 

  • Kiesel, A., Steinhauser, M., Wendt, M., Falkenstein, M., Jost, K., Philipp, A. M., et al. (2010). Control and interference in task switching—A review. Psychological Bulletin, 136(5), 849–874.

    Article  PubMed  Google Scholar 

  • Kleinsorge, T. (1999). Response repetition benefits and costs. Acta Psychologica, 103(3), 295–310.

    Article  PubMed  Google Scholar 

  • Koch, I., Poljac, E., Müller, H., & Kiesel, A. (2018). Cognitive structure, flexibility, and plasticity in human multitasking—An integrative review of dual-task and task-switching research. Psychological Bulletin, 144, 557–583.

    Article  PubMed  Google Scholar 

  • Kornblum, S., & Lee, J. W. (1995). Stimulus-response compatibility with relevant and irrelevant stimulus dimensions that do and do not overlap with the response. Journal of Experimental Psychology: Human Perception and Performance, 21(4), 855–875.

    PubMed  Google Scholar 

  • Kraeutner, S., Gionfriddo, A., Bardouille, T., & Boe, S. (2014). Motor imagery-based brain activity parallels that of motor execution: Evidence from magnetic source imaging of cortical oscillations. Brain Research, 1588, 81–91.

    Article  PubMed  Google Scholar 

  • Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863.

    Article  PubMed  PubMed Central  Google Scholar 

  • Leeb, R., Keinrath, C., Friedman, D., Guger, C., Scherer, R., Neuper, C., et al. (2006). Walking by thinking: the brainwaves are crucial, not the muscles. Presence: Teleoperators and Virtual Environments, 15(5), 500–514.

    Article  Google Scholar 

  • Logan, G. D. (1990). Repetition priming and automaticity: Common underlying mechanisms? Cognitive Psychology, 22(1), 1–35.

    Article  Google Scholar 

  • Los, S. A. (1996). On the origin of mixing costs: Exploring information processing in pure and mixed blocks of trials. Acta Psychologica, 94(2), 145–188.

    Article  Google Scholar 

  • Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134–140.

    Article  PubMed  Google Scholar 

  • Munzert, J. (2008). Does level of expertise influence imagined durations in open skills? Played versus imagined durations of badminton sequences. International Journal of Sport and Exercise Psychology, 6(1), 24–38.

    Article  Google Scholar 

  • O’Shea, H., & Moran, A. (2017). Does motor simulation theory explain the cognitive mechanisms underlying motor imagery? A critical review. Frontiers in Human Neuroscience, 11, 72.

    Article  PubMed  PubMed Central  Google Scholar 

  • O’Shea, H., & Moran, A. (2018). To go or not to go? Pupillometry elucidates inhibitory mechanisms in motor imagery. Journal of Cognitive Psychology, 30(4), 466–483.

    Article  Google Scholar 

  • Oldfield, R. C. (1971). The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia, 9(1), 97–113.

    Article  PubMed  Google Scholar 

  • Papaxanthis, C., Pozzo, T., Skoura, X., & Schieppati, M. (2002). Does order and timing in performance of imagined and actual movements affect the motor imagery process? The duration of walking and writing task. Behavioural Brain Research, 134(1–2), 209–215.

    Article  PubMed  Google Scholar 

  • Porro, C. A., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., et al. (1996). Primary motor and sensory cortex activation during motor performance and motor imagery: A functional magnetic resonance imaging study. Journal of Neuroscience, 16(23), 7688–7698.

    Article  PubMed  Google Scholar 

  • Rieger, M., Dahm, S. F., & Koch, I. (2017). Inhibition in motor imagery: A novel action mode switching paradigm. Psychonomic Bulletin & Review, 24, 459–466.

    Article  Google Scholar 

  • Rieger, M., & Gauggel, S. (1999). Inhibitory after-effects in the stop signal paradigm. British Journal of Psychology, 90(4), 509–518.

    Article  Google Scholar 

  • Rieger, M., & Massen, C. (2014). Tool characteristics in imagery of tool actions. Psychological Research Psychologische Forschung, 78(1), 10–17.

    Article  PubMed  Google Scholar 

  • Roland, P. E. (1984). Organization of motor control by the normal human brain. Human Neurobiology, 2(4), 205–216.

    PubMed  Google Scholar 

  • Scheil, J., & Liefooghe, B. (2018). Motor command inhibition and the representation of response mode during motor imagery. Acta Psychologica, 186, 54–62.

    Article  PubMed  Google Scholar 

  • Schmidt, J. R., & Liefooghe, B. (2016). Feature integration and task switching: Diminished switch costs after controlling for stimulus, response, and cue repetitions. PLoS ONE, 11(3), e0151188.

    Article  PubMed  PubMed Central  Google Scholar 

  • Soetens, E., Boer, L. C., & Hueting, J. E. (1985). Expectancy or automatic facilitation? Separating sequential effects in two-choice reaction time. Journal of Experimental Psychology: Human Perception and Performance, 11(5), 598–616.

    Google Scholar 

  • Solodkin, A., Hlustik, P., Chen, E. E., & Small, S. L. (2004). Fine modulation in network activation during motor execution and motor imagery. Cerebral Cortex, 14(11), 1246–1255.

    Article  PubMed  Google Scholar 

  • Stoet, G., & Hommel, B. (1999). Action planning and the temporal binding of response codes. Journal of Experimental Psychology: Human Perception and Performance, 25(6), 1625–1640.

    Google Scholar 

  • Swinnen, S. P., Serrien, D. J., Walter, C. B., & Philippaerts, R. (1995). The organization of patterns of multilimb coordination as revealed through reaction time measures. Experimental Brain Research, 104(1), 153–162.

    Article  PubMed  Google Scholar 

  • Thomas, P. K., Sears, T. A., & Gilliatt, R. W. (1959). The range of conduction velocity in normal motor nerve fibres to the small muscles of the hand and foot. Journal of Neurology, Neurosurgery, and Psychiatry, 22(3), 175–181.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tipper, S. P. (2001). Does negative priming reflect inhibitory mechanisms? A review and integration of conflicting views. The Quarterly Journal of Experimental Psychology: Section A, 54(2), 321–343.

    Article  Google Scholar 

  • Verbruggen, F., McAndrew, A., Weidemann, G., Stevens, T., & McLaren, I. P. (2016). Limits of executive control sequential effects in predictable environments. Psychological Science, 27(5), 748–757.

    Article  PubMed  Google Scholar 

  • Vervaeck, K. R., & Boer, L. C. (1980). Sequential effects in two-choice reaction time: Subjective expectancy and automatic after-effect at short response-stimulus intervals. Acta Psychologica, 44(2), 175–190.

    Article  Google Scholar 

  • Waldert, S., Preissl, H., Demandt, E., Braun, C., Birbaumer, N., Aertsen, A., et al. (2008). Hand movement direction decoded from MEG and EEG. Journal of Neuroscience, 28(4), 1000–1008.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Alexander Bäuerle, Magdalena Jäger, and Melissa Gapp for their help with data collection.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

MR devised the basic ideas. All authors contributed to the conception, the design, and the methodology. Material preparation, data collection, and analysis were performed by VKEB. The first draft of the manuscript was written by VKEB. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Victoria K. E. Bart.

Ethics declarations

Conflict of interest

We declare that we have no conflict of interest. We have full control of all primary data and we agree to allow the journal to review our data if requested.

Statement of human rights

All procedures performed in the present study were in accordance with the ethical standards of the institutional research committee (research committee for scientific and ethical questions, RCSEQ, Hall in Tyrol) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Data availability statement

The data are available at the open science framework, https://osf.io/edx5n/.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOC 166 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00426-020-01327-y

Navigation