Neuroplasticity in Motor Learning Under Variable and Constant Practice Conditions-Protocol of Randomized Controlled Trial

Overview

Journal Front Hum Neurosci

Specialty Neurology

Date 2022 Apr 4

PMID 35370573

Authors

Stanislaw H Czyz

Jaroslaw Marusiak

Patricia Klobusiakova

Zuzana Sajdlova

Irena Rektorova

Affiliations

Soon will be listed here.

Abstract

Background: There is numerous literature on mechanisms underlying variability of practice advantages. Literature includes both behavioral and neuroimaging studies. Unfortunately, no studies are focusing on practice in constant conditions to the best of our knowledge. Hence it is essential to assess possible differences in mechanisms of neuroplasticity between constant vs. variable practice conditions. The primary objectives of the study described in this protocol will be: (1) to determine the brain's structural and functional changes following constant and variable practice conditions in motor learning (structural and functional magnetic resonance imaging, MRI); (2) to determine the EEG activation and connectivity between cognitive, sensory, and motor cerebral cortex areas (central, temporal, parietal, occipital) in constant and variable practice conditions and as a function of practice time.

Methods: The study will follow the interventional (experimental) design with two arms (parallel groups). Fifty participants will be randomly assigned to two groups practicing in constant (CG) and variable conditions (VG). CG will be practicing only one pattern of step isometric contractions during unimanual index finger abduction, i.e., 90 trials in all training sessions, whereas VG will practice three different patterns. Each will be practiced 30 times per session in variable conditions. Resting-state fMRI, EEG (cortical networking), and motor task proficiency will be examined before (pre-) and after practice (post- and retentions tests).

Discussion: Findings will enhance our understanding of structural and functional neural changes following practice in constant and variable conditions. Therefore, the study can be considered pure (basic) research (clinical research in healthy individuals).

Clinical Trial Registration: Study registered at clinicaltrials.gov (ID# NCT04921072) on 9 June 2021. Last version update: 21 December 2021.The protocol has been prepared according to the complete SPIRIT checklist (http://www.spirit-statement.org/), although the item order has been modified in order to comply with the manuscript structure.

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References

Draganski B, Gaser C, Busch V, Schuierer G, Bogdahn U, May A . Neuroplasticity: changes in grey matter induced by training. Nature. 2004; 427(6972):311-2. DOI: 10.1038/427311a. View

Debowska W, Wolak T, Nowicka A, Kozak A, Szwed M, Kossut M . Functional and Structural Neuroplasticity Induced by Short-Term Tactile Training Based on Braille Reading. Front Neurosci. 2016; 10:460. PMC: 5061995. DOI: 10.3389/fnins.2016.00460. View

Lin C, Yang H, Knowlton B, Wu A, Iacoboni M, Ye Y . Contextual interference enhances motor learning through increased resting brain connectivity during memory consolidation. Neuroimage. 2018; 181:1-15. DOI: 10.1016/j.neuroimage.2018.06.081. View

Loffing F, Solter F, Hagemann N . Left preference for sport tasks does not necessarily indicate left-handedness: sport-specific lateral preferences, relationship with handedness and implications for laterality research in behavioural sciences. PLoS One. 2014; 9(8):e105800. PMC: 4139391. DOI: 10.1371/journal.pone.0105800. View

Lohse K, Wadden K, Boyd L, Hodges N . Motor skill acquisition across short and long time scales: a meta-analysis of neuroimaging data. Neuropsychologia. 2014; 59:130-41. DOI: 10.1016/j.neuropsychologia.2014.05.001. View

Smith S, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols T, Mackay C . Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006; 31(4):1487-505. DOI: 10.1016/j.neuroimage.2006.02.024. View

Cheng M, Hung C, Huang C, Chang Y, Lo L, Shen C . Expert-novice differences in SMR activity during dart throwing. Biol Psychol. 2015; 110:212-8. DOI: 10.1016/j.biopsycho.2015.08.003. View

Busk J, Galbraith G . EEG correlates of visual-motor practice in man. Electroencephalogr Clin Neurophysiol. 1975; 38(4):415-22. DOI: 10.1016/0013-4694(75)90265-5. View

Nunez P, Srinivasan R, Westdorp A, Wijesinghe R, Tucker D, Silberstein R . EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr Clin Neurophysiol. 1997; 103(5):499-515. DOI: 10.1016/s0013-4694(97)00066-7. View

10.

Fischl B, Salat D, Busa E, Albert M, Dieterich M, Haselgrove C . Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002; 33(3):341-55. DOI: 10.1016/s0896-6273(02)00569-x. View

11.

Draganski B, Kherif F, Lutti A . Computational anatomy for studying use-dependant brain plasticity. Front Hum Neurosci. 2014; 8:380. PMC: 4072968. DOI: 10.3389/fnhum.2014.00380. View

12.

Boyke J, Driemeyer J, Gaser C, Buchel C, May A . Training-induced brain structure changes in the elderly. J Neurosci. 2008; 28(28):7031-5. PMC: 6670504. DOI: 10.1523/JNEUROSCI.0742-08.2008. View

13.

Kim T, Wright D, Feng W . Commentary: Variability of Practice, Information Processing, and Decision Making-How Much Do We Know?. Front Psychol. 2021; 12:685749. PMC: 8371322. DOI: 10.3389/fpsyg.2021.685749. View

14.

Czyz S, Moss S . Specificity vs. Generalizability: Emergence of Especial Skills in Classical Archery. Front Psychol. 2016; 7:1178. PMC: 4974245. DOI: 10.3389/fpsyg.2016.01178. View

15.

Ashburner J, Friston K . Voxel-based morphometry--the methods. Neuroimage. 2000; 11(6 Pt 1):805-21. DOI: 10.1006/nimg.2000.0582. View

16.

Margolis J, Christina R . A test of Schmidt's schema theory of discrete motor skill learning. Res Q Exerc Sport. 1981; 52(4):474-83. DOI: 10.1080/02701367.1981.10607893. View

17.

Nunez P, Silberstein R, Shi Z, Carpenter M, Srinivasan R, Tucker D . EEG coherency II: experimental comparisons of multiple measures. Clin Neurophysiol. 1999; 110(3):469-86. DOI: 10.1016/s1388-2457(98)00043-1. View

18.

Borson S, Scanlan J, Chen P, Ganguli M . The Mini-Cog as a screen for dementia: validation in a population-based sample. J Am Geriatr Soc. 2003; 51(10):1451-4. DOI: 10.1046/j.1532-5415.2003.51465.x. View

19.

Floyer-Lea A, Matthews P . Distinguishable brain activation networks for short- and long-term motor skill learning. J Neurophysiol. 2005; 94(1):512-8. DOI: 10.1152/jn.00717.2004. View

20.

Behrens T, Berg H, Jbabdi S, Rushworth M, Woolrich M . Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?. Neuroimage. 2006; 34(1):144-55. PMC: 7116582. DOI: 10.1016/j.neuroimage.2006.09.018. View