Skip to main content
SpringerLink
Log in

Dynamics of Parameters of Low-Amplitude Hand Movements in a Repetitive Motor-Cognitive Task

  • Published:
Neuroscience and Behavioral Physiology Aims and scope Submit manuscript

In contrast to the development of muscle adaptations associated with overstrain, insufficient stretching, overloading, and underloading, use of short-term courses of low-strain motor-cognitive training induces adaptation linked with neural rearrangements, studies of which are of great interest. This direction remains insufficiently studied as indicated, for example, by the fact that motor activity regimes in medical rehabilitation are selected empirically and the difficulty of prognostication and assessment of rehabilitation potential. In these studies, 25 healthy pretrained volunteers applied force to an immobile joystick with the hand to control a label on a screen with the aim of studying the ability to follow instructions and the force characteristics of low-amplitude control movements. A joystick attached to a force platform was used to assess measures of the trajectory of the center of pressure on the support, the vertical force, and the external result (the extent of following the instruction in terms of the mean duration of processing a single result) on performance of a standard task with visual feedback carried out three times with each hand sequentially over four days (short training course). Data were analyzed using standard mathematical methods. A stable level of following instructions was achieved extremely quickly – by the second session. Optimization of vertical pressure force occurred during the second course, while optimization of control in the plane of the support was more difficult. “Optimization” of motor control (for a given observation period) and adaptive processes proceeded nonuniformly for different aspects of control: achievement of optimal productivity, selection of vertical force, and manipulation of force in the plane of the support. The rapid improvements in results obtained from following instructions were presumptively linked with optimization of the strategy. The task of optimizing vertical force on the joystick was more difficult, while the most difficult was control of hand force in the plane of the support, which may be associated with the fact that this was linked with a later stage of training.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. J. P. Gill and H. J. Chiel, “Rapid adaptation to changing mechanical load by ordered recruitment of identified motor neurons,” eNeuro, pii: ENEURO.0016-20.2020, https://doi.org/10.1523/ENEURO.0016-20.2020.

  2. K. Takiyama, T. Sakurada, M. Shinya, et al., “Larger, but not better, motor adaptation ability inherent in medicated Parkinson’s disease patients revealed by a smart device- based study,” Sci. Rep., 10, No. 1, 7113 (2020), https://doi.org/10.1038/s41598-020-63717-x.

  3. K. M. Wisdom, S. L. Delp, and E. Kuhl, “Use it or lose it: multiscale skeletal muscle adaptation to mechanical stimuli,” Biomech. Model. Mechanobiol., 14, No. 2, 195–215 (2015), https://doi.org/10.1007/s10237-014-0607-3.

    Article  PubMed  Google Scholar 

  4. S. S. Grokhovskii and O. V. Kubryak, “The question of the ‘dose’ of motor rehabilitation after stroke: a review,” Fizioter. Balneol. Reabil., 17, No. 2, 66–71 (2018), https://doi.org/10.18821/1681-3456-2018-17-2-66-71.

  5. M. V. Romanova, O. V. Kubryak, E. V. Isakova, et al., “Objective evidence of impairments to balance and stability in patients with stroke in the early recovery period” Ann. Klin. Eksper. Nevrol., 8, No. 2, 12–15 (2014).

    Google Scholar 

  6. E. R. Dzheldubaeva, E. A. Biryukova, S. A. Makhin, et al., “Electromyogram maximum amplitudes in arm flexors and extensors in healthy volunteers in a series of the power joystick control training sessions,” Neurosci. Behav. Physiol., 106, No. 1, 44–54 (2020), https://doi.org/10.31857/S0869813920010069.2020.

  7. P. K. Anokhin, General Principles of Compensation for Impaired Functions and Their Physiological Basis, APN RSFSR, Moscow (1955).

  8. R. Khan, J. Plahouras, B. C. Johnston, et al., “Virtual reality simulation training for health professions trainees in gastrointestinal endoscopy,” Cochrane Database Syst. Rev., 8, No. 8, CD008237 (2018), https://doi.org/10.1002/14651858.CD008237.pub3.

  9. T. Stockel, T. J. Carroll, J. J. Summers, and M. R. Hinder, “Motor learning and cross-limb transfer rely upon distinct neural adaptation processes,” J. Neurophysiol, 116, No. 2, 575–586 (2016).

    Article  Google Scholar 

  10. V. A. Selionov, I. A. Solopova, and D. S. Zhvanskii, “Activation of inter-limb connections increases motor output in the legs in healthy subjects: a study in conditions of unloading the arms and legs,” Fiziol. Cheloveka, 42, No. 1, 52–63 (2016).

    CAS  PubMed  Google Scholar 

  11. C. Leone, P. Feys, L. Moumdjian, et al., “Cognitive-motor dual-task interference: A systematic review of neural correlates,” Neurosci. Biobehav. Rev., 75, 348–360 (2017), https://doi.org/10.1016/j.neubiorev.2017.01.010.

    Article  PubMed  Google Scholar 

  12. L. A. Javoronkova, O. A. Maksakova, T. P. Shevcova, et al., “Dual objectives are an indicator of the characteristics of cognitive deficits in patients after traumatic brain injury,” Neurosci. Behav. Physiol., 119, No. 8, 46–52 (2019), https://doi.org/10.17116/jnevro201911908146.

  13. H. Ohashi, R. Valle-Mena, P. L. Gribble, and D. J. Ostry, “Movements following force-field adaptation are aligned with altered sense of limb position,” Exp. Brain Res., 237, No. 5, 1303–1313 (2019), https://doi.org/10.1007/s00221-019-05509-y.

    Article  PubMed  PubMed Central  Google Scholar 

  14. K. M. Wisdom, S. L. Delp, and E. Kuhl, “Use it or lose it: multiscale skeletal muscle adaptation to mechanical stimuli,” Biomech. Model. Mechanobiol., 14, No. 2, 195–215 (2015), https://doi.org/10.1007/s10237-014-0607-3.

    Article  PubMed  Google Scholar 

  15. I. N. Mantrova, Methodological Guidelines for Psychophysiological and Psychological Diagnostics, Neirosoft, Ivanovo (2007).

    Google Scholar 

  16. D. H. Baker, G. Vilidaite, F. A. Lygo, et al., “Power contours: optimising sample size and precision in experimental psychology and human neuroscience,” arXiv, 1902.06122v5 [q-bio.NC] (2020).

  17. S. S. Grokhovskii and O. V. Kubryak, “A method of integral assessment of the effectiveness of regulation of human posture,” Med. Tekhnika, 2, 49–52 (2018).

    Google Scholar 

  18. F. Crevecoeur, J. Mathew, M. Bastin, and P. Lefevre, “Feedback adaptation to unpredictable force fields in 250 ms,” eNeuro, 29.7(2), pii: ENEURO.0400-19.2020, https://doi.org/10.1523/ENEURO.0400-19.2020.

  19. M. G. Perich, J. A. Gallego, and L. E. Miller, “A neural population mechanism for rapid learning,” Neuron, 100, No. 4, 964–976 (2018), https://doi.org/10.1016/j.neuron.2018.09.030.

  20. J. A. Kleim, T. M. Hogg, P. M. VandenBerg, et al., “Cortical synaptogenesis and motor map reorganization occur during late, but not early, phase of motor skill learning,” J. Neurosci., 24, No. 3, 628–633 (2004), https://doi.org/10.1523/JNEUROSCI.3440-03.2004.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. R. Schween, J. A. Taylor, and M. Hegele, “Plan-based generalization shapes local implicit adaptation to opposing visuomotor transformations,” J. Neurophysiol, 120, No. 6, 2775–2787 (2018), https://doi.org/10.1152/jn.00451.2018.

    Article  PubMed  PubMed Central  Google Scholar 

  22. M. H. Monfils, E. J. Plautz, and J. A. Kleim, “In search of the motor engram: motor map plasticity as a mechanism for encoding motor experience,” Neuroscientist, 11, No. 5, 471–483 (2005), https://doi.org/10.1177/1073858405278015.

  23. O. V. Kubryak, A. K. Gorbacheva, A. V. Kovaleva, et al., “A putative marker of functional state shift in volunteers after performing a motor task with biofeedback,” Human Physiol., 42, No. 2, 223–227 (2016).

    Article  Google Scholar 

  24. S. N. Braines, Neurocybernetics, Medgiz, Moscow (1962).

    Google Scholar 

  25. A. M. Haith, D. M. Huberdeau, and J. W. Krakauer, “The influence of movement preparation time on the expression of visuomotor learning and savings,” J. Neurosci., 35, No. 13, 5109–5117 (2015), https://doi.org/10.1523/JNEUROSCI.3869-14.2015.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. A. L. Wong, A. M. Haith, and J. W. Krakauer, “Motor planning,” Neuroscientist, 21, No. 4, 385–398 (2015), https://doi.org/10.1177/1073858414541484.

  27. J. A. Kleim, T. M. Hogg, P. M. VandenBerg, et al., “Cortical synaptogenesis and motor map reorganization occur during late, but not early, phase of motor skill learning,” J. Neurosci., 24, No. 3, 628–633 (2004), https://doi.org/10.1523/JNEUROSCI.3440-03.2004.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Anokhin Research Institute of Normal Physiology, Moscow, Russia

    N. D. Babanov & O. V. Kubryak

  2. Vernadskii Crimean Federal University, Simferopol, Russia

    E. A. Biryukova, E. R. Dzheldubaeva, S. A. Makhin & E. N. Chuyan

Authors
  1. N. D. Babanov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. E. A. Biryukova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. E. R. Dzheldubaeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S. A. Makhin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. E. N. Chuyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. O. V. Kubryak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. D. Babanov.

Additional information

Translated from Rossiiskii Fiziologicheskii Zhurnal imeni I. M. Sechenova, Vol. 106, No. 11, pp. 1370–1384, November, 2020.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Babanov, N.D., Biryukova, E.A., Dzheldubaeva, E.R. et al. Dynamics of Parameters of Low-Amplitude Hand Movements in a Repetitive Motor-Cognitive Task. Neurosci Behav Physi 51, 774–783 (2021). https://doi.org/10.1007/s11055-021-01134-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11055-021-01134-x

Keywords

Search

Navigation