Learning a novel rhythmic stepping task in children with probable developmental coordination disorder.

Developmental coordination disorder Intervention Motor learning Rhythmic cueing Stepping

Journal

Clinical biomechanics (Bristol, Avon)
ISSN: 1879-1271
Titre abrégé: Clin Biomech (Bristol, Avon)
Pays: England
ID NLM: 8611877

Informations de publication

Date de publication:
02 2023
Historique:
received: 30 09 2022
revised: 25 01 2023
accepted: 31 01 2023
pubmed: 11 2 2023
medline: 3 3 2023
entrez: 10 2 2023
Statut: ppublish

Résumé

Developmental coordination disorder affects approximately 6% of children, interfering with participation in physical activity and can persist through adulthood. However, no studies have investigated the neuromotor mechanisms of learning of a novel task with rhythmic cueing. Movement Assessment Battery for Children-2nd edition was used to identify 48 children with probable developmental coordination disorder (13.9 ± 0.05 yrs., 27% male) and 37 typically developed (13.9 ± 0.10 yrs., 54% male). While instrumented with an inertial measurement unit, both groups performed a novel rhythmic stepping task and with a concurrent auditory stroop test (dual-task), underwent seven weeks of intervention with step training with rhythmic cuing and were tested for retention five weeks post-intervention. Initially, the group with probable developmental coordination disorder had a higher variability of step timing (coefficient of variation: 0.08 ± 0.003-typically developed - 0.09 ± 0.004-probable developmental coordination disorder, p < 0.05) and a frequency of peak power spectral density further from the target 0.5 Hz (0.50 ± 0.002 Hz-typically developed - 0.51 ± 0.003 Hz-probable developmental coordination disorder, p < 0.05), and were more affected by the dual-task: power spectral density at 0.5 Hz (-7.2 ± 3.3%-typically developed - -13.4 ± 4.6%- prob_DCD, p < 0.05) and stroop test errors (6.4 ± 1.1%-typically developed - -11.1 ± 2.4%- probable developmental coordination disorder, p < 0.05). The intervention led to similar improvements in both groups in coefficient of variation of step timing (0.12 ± 0.01-Pre - 0.07 ± 0.002-Post, p < 0.05), frequency of the peak power spectral density (0.51 ± 0.005 Hz-Pre - 0.50 ± 0.001 Hz-Post, p < 0.05) and relative power spectral density bandpower (3.2 ± 0.2%-Pre - 5.9 ± 0.3%-Post, p < 0.05). All improvements were retained after five weeks post-training. Rhythmic cueing shows strong promise for enhancing motor learning in children with probable developmental coordination disorder. Retrospectively registered on ClinicalTrials.gov with reference: NCT03150784.

Sections du résumé

BACKGROUND
Developmental coordination disorder affects approximately 6% of children, interfering with participation in physical activity and can persist through adulthood. However, no studies have investigated the neuromotor mechanisms of learning of a novel task with rhythmic cueing.
METHODS
Movement Assessment Battery for Children-2nd edition was used to identify 48 children with probable developmental coordination disorder (13.9 ± 0.05 yrs., 27% male) and 37 typically developed (13.9 ± 0.10 yrs., 54% male). While instrumented with an inertial measurement unit, both groups performed a novel rhythmic stepping task and with a concurrent auditory stroop test (dual-task), underwent seven weeks of intervention with step training with rhythmic cuing and were tested for retention five weeks post-intervention.
FINDINGS
Initially, the group with probable developmental coordination disorder had a higher variability of step timing (coefficient of variation: 0.08 ± 0.003-typically developed - 0.09 ± 0.004-probable developmental coordination disorder, p < 0.05) and a frequency of peak power spectral density further from the target 0.5 Hz (0.50 ± 0.002 Hz-typically developed - 0.51 ± 0.003 Hz-probable developmental coordination disorder, p < 0.05), and were more affected by the dual-task: power spectral density at 0.5 Hz (-7.2 ± 3.3%-typically developed - -13.4 ± 4.6%- prob_DCD, p < 0.05) and stroop test errors (6.4 ± 1.1%-typically developed - -11.1 ± 2.4%- probable developmental coordination disorder, p < 0.05). The intervention led to similar improvements in both groups in coefficient of variation of step timing (0.12 ± 0.01-Pre - 0.07 ± 0.002-Post, p < 0.05), frequency of the peak power spectral density (0.51 ± 0.005 Hz-Pre - 0.50 ± 0.001 Hz-Post, p < 0.05) and relative power spectral density bandpower (3.2 ± 0.2%-Pre - 5.9 ± 0.3%-Post, p < 0.05). All improvements were retained after five weeks post-training.
INTERPRETATION
Rhythmic cueing shows strong promise for enhancing motor learning in children with probable developmental coordination disorder.
TRIAL REGISTRATION
Retrospectively registered on ClinicalTrials.gov with reference: NCT03150784.

Identifiants

pubmed: 36764101
pii: S0268-0033(23)00035-9
doi: 10.1016/j.clinbiomech.2023.105904
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT03150784']

Types de publication

Clinical Trial Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105904

Subventions

Organisme : Wellcome Trust
ID : 203139/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 110027/Z/15/Z
Pays : United Kingdom
Organisme : NICHD NIH HHS
ID : F30 HD103527
Pays : United States
Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mario Inacio (M)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK; University of Maia, Maia, Portugal; Research Center in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal. Electronic address: minacio@umaia.pt.

Patrick Esser (P)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK.

Benjamin David Weedon (BD)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK.

Shawn Joshi (S)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.

Andy Meaney (A)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK.

Anne Delextrat (A)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK.

Daniella Springett (D)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK.

Steve Kemp (S)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK.

Tomas Ward (T)

Insight Centre for Data Analytics, School of Computing, Dublin City University, Ireland.

Hooshang Izadi (H)

School of Engineering, Computing and Mathematics, Faculty of Technology, Design and Environment, Oxford Brookes University, Oxford, UK.

Heidi Johansen-Berg (H)

Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Helen Dawes (H)

Centre for Movement, Occupation and Rehabilitation Sciences, Oxford Brookes University, Oxford, UK; NIHR Exeter Biomedical Research Centre, University of Exeter, Exeter, UK; Department of Clinical Neurology, University of Oxford, Oxford, UK; Oxford Health Biomedical Research Centre, UK.

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