Practice-Induced Changes in Manual Dexterity of Older Adults Depend on Initial Pegboard Time.
Journal
Medicine and science in sports and exercise
ISSN: 1530-0315
Titre abrégé: Med Sci Sports Exerc
Pays: United States
ID NLM: 8005433
Informations de publication
Date de publication:
01 11 2023
01 11 2023
Historique:
medline:
9
11
2023
pubmed:
28
6
2023
entrez:
28
6
2023
Statut:
ppublish
Résumé
The purpose of our study was to determine the influence of practice on the pegboard times and peg-manipulation phases of older adults who were classified as having either slow or fast initial pegboard times. Participants ( n = 26, 70 ± 6.6 yr) completed two evaluation sessions and six practice sessions in which they performed 25 trials (5 blocks of 5 trials) of the grooved pegboard test. All practice sessions were supervised, and the time to complete each trial was recorded. In each evaluation session, the pegboard was mounted on a force transducer so that the downward force applied to the board could be measured. Participants were stratified into two groups based on the initial time to complete the grooved pegboard test: a fast group (68.1 ± 6.0 s) and a slow group (89.6 ± 9.2 s). Both groups exhibited the classic two-phase profile (acquisition + consolidation) for learning a de novo motor skill. Despite the similar learning profile for the two groups, there were differences between groups in the phases of the peg-manipulation cycle that became faster with practice. The fast group seemed to reduce trajectory variability when transporting the peg, whereas the slow group seemed to exhibit both a decrease in trajectory variability and greater precision when inserting pegs into the holes. The changes underlying practice-induced decreases in grooved pegboard time differed for older adults who initially had either a fast or a slow pegboard time.
Identifiants
pubmed: 37379250
doi: 10.1249/MSS.0000000000003245
pii: 00005768-202311000-00012
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2045-2052Informations de copyright
Copyright © 2023 by the American College of Sports Medicine.
Références
Gershon RC, Wagster MV, Hendrie HC, Fox NA, Cook KF, Nowinski CJ. NIH toolbox for assessment of neurological and behavioral function. Neurology . 2013;80(11 Suppl 3):S2–6.
Reuben DB, Magasi S, McCreath HE, et al. Motor assessment using the NIH Toolbox. Neurology . 2013;80(11 Suppl 3):S65–75.
Wang YC, Magasi SR, Bohannon RW, et al. Assessing dexterity function: a comparison of two alternatives for the NIH Toolbox. J Hand Ther . 2011;24(4):313–20.
Seidel D, Crilly N, Matthews FE, Jagger C, Clarkson PJ, Brayne C. Patterns of functional loss among older people: a prospective analysis. Hum Factors . 2009;51(5):669–80.
Carey LM, Matyas TA, Oke LE. Evaluation of impaired fingertip texture discrimination and wrist position sense in patients affected by stroke: comparison of clinical and new quantitative measures. J Hand Ther . 2002;15(1):71–82.
Carey LM, Abbott DF, Egan GF, Donnan GA. Reproducible activation in BA2, 1 and 3b associated with texture discrimination in healthy volunteers over time. Neuroimage . 2008;39(1):40–51.
Ostwald SK, Snowdon DA, Rysavy DM, Keenan NL, Kane RL. Manual dexterity as a correlate of dependency in the elderly. J Am Geriatr Soc . 1989;37(10):963–9.
Almuklass AM, Feeney DF, Mani D, Hamilton LD, Enoka RM. Peg-manipulation capabilities of middle-aged adults have a greater influence on pegboard times than those of young and old adults. Exp Brain Res . 2018;236(8):2165–72.
Almuklass AM, Price RC, Gould JR, Enoka RM. Force steadiness as a predictor of time to complete a pegboard test of dexterity in young men and women. J Appl Physiol (1985) . 2016;120(12):1410–7.
Marmon AR, Pascoe MA, Schwartz RS, Enoka RM. Associations among strength, steadiness, and hand function across the adult life span. Med Sci Sports Exerc . 2011;43(4):560–7.
Bohannon RW, Bubela D, Magasi S, et al. Comparison of walking performance over the first 2 minutes and the full 6 minutes of the six-minute walk test. BMC Res Notes . 2014;7:269.
Davis LA, Alenazy MS, Almuklass AM, et al. Force control during submaximal isometric contractions is associated with walking performance in persons with multiple sclerosis. J Neurophysiol . 2020;123(6):2191–200.
Narici MV, Bordini M, Cerretelli P. Effect of aging on human adductor pollicis muscle function. J Appl Physiol (1985) . 1991;71(4):1277–81.
Suetta C, Haddock B, Alcazar J, et al. The Copenhagen Sarcopenia Study: lean mass, strength, power, and physical function in a Danish cohort aged 20–93 years. J Cachexia Sarcopenia Muscle . 2019;10(6):1316–29.
Hamilton LD, Mazzo MR, Petrigna L, Ahmed AA, Enoka RM. Poor estimates of motor variability are associated with longer grooved pegboard times for middle-aged and older adults. J Neurophysiol . 2019;121(2):588–601.
Marmon AR, Gould JR, Enoka RM. Practicing a functional task improves steadiness with hand muscles in older adults. Med Sci Sports Exerc . 2011;43(8):1531–7.
Kornatz KW, Christou EA, Enoka RM. Practice reduces motor unit discharge variability in a hand muscle and improves manual dexterity in old adults. J Appl Physiol (1985) . 2005;98(6):2072–80.
Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia . 1971;9(1):97–113.
Almuklass AM, Feeney DF, Mani D, Hamilton LD, Enoka RM. Peg-manipulation capabilities during a test of manual dexterity differ for persons with multiple sclerosis and healthy individuals. Exp Brain Res . 2017;235(11):3487–93.
Avrillon S, Hug F, Farina D. A graph-based approach to identify motor neuron synergies [internet]. bioRxiv . 2023. Available from: https://www.biorxiv.org/content/10.1101/2023.02.07.527433v1 .
doi: 10.1101/2023.02.07.527433v1
Bowden JL, McNulty PA. The magnitude and rate of reduction in strength, dexterity and sensation in the human hand vary with ageing. Exp Gerontol . 2013;48(8):756–65.
Hamilton LD, Thomas E, Almuklass AM, Enoka RM. A framework for identifying the adaptations responsible for differences in pegboard times between middle-aged and older adults. Exp Gerontol . 2017;97:9–16.
Ruff RM, Parker SB. Gender- and age-specific changes in motor speed and eye-hand coordination in adults: normative values for the finger tapping and grooved pegboard tests. Percept Mot Skills . 1993;76(3 Pt 2):1219–30.
Wang YC, Bohannon RW, Kapellusch J, Garg A, Gershon RC. Dexterity as measured with the 9-hole peg test (9-HPT) across the age span. J Hand Ther . 2015;28(1):53–60.
Enoka RM, Farina D. Force steadiness: from motor units to voluntary actions. Physiology (Bethesda) . 2021;36(2):114–30.
Dayan E, Cohen LG. Neuroplasticity subserving motor skill learning. Neuron . 2011;72(3):443–54.
Haith AM, Krakauer JW. The multiple effects of practice: skill, habit and reduced cognitive load. Curr Opin Behav Sci . 2018;20:196–201.
Spampinato D, Celnik P. Multiple motor learning processes in humans: defining their neurophysiological bases. Neuroscientist . 2021;27(3):246–67.
Krakauer JW, Hadjiosif AM, Xu J, Wong AL, Haith AM. Motor learning. Compr Physiol . 2019;9(2):613–63.
Wise SP, Murray EA. Arbitrary associations between antecedents and actions. Trends Neurosci . 2000;23(6):271–6.
Yamada C, Itaguchi Y, Fukuzawa K. Effects of the amount of practice and time interval between practice sessions on the retention of internal models. PLoS One . 2019;14(4):e0215331.
Keen DA, Yue GH, Enoka RM. Training-related enhancement in the control of motor output in elderly humans. J Appl Physiol (1985) . 1994;77(6):2648–58.
Poston B, Enoka JA, Enoka RM. Practice and endpoint accuracy with the left and right hands of old adults: the right-hemisphere aging model. Muscle Nerve . 2008;37(3):376–86.
Shmuelof L, Krakauer JW, Mazzoni P. How is a motor skill learned? Change and invariance at the levels of task success and trajectory control. J Neurophysiol . 2012;108(2):578–94.
Feeney DF, Mani D, Enoka RM. Variability in common synaptic input to motor neurons modulates both force steadiness and pegboard time in young and older adults. J Physiol . 2018;596(16):3793–806.
Lodha N, Christou EA. Low-frequency oscillations and control of the motor output. Front Physiol . 2017;8:78.