Mild impairments of motor imagery skills in children with DCD

Noten, M.M.P.G.; Wilson, Peter H.; Ruddock, Scott; Steenbergen, Bert

doi:10.1016/j.ridd.2014.01.026

Cited by 46 publications

(53 citation statements)

References 44 publications

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“…Smyth and Mason () and Noten et al . (), however, showed no difference in grip selection between a DCD and a control group. In earlier studies, the difference in performance on several tasks examining the ESC effect has been compared and contrasted (Jongbloed‐Pereboom, Spruijt, Nijhuis‐van der Sanden, & Steenbergen, ; Knudsen, Henning, Wunsch, Weigelt, & Aschersleben, ; Smyth & Mason, ).…”

Section: Introductionmentioning

confidence: 76%

Testing predictive control of movement in children with developmental coordination disorder using converging operations

Adams

Lust

Wilson

et al. 2016

British J of Psychology

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Recent systematic reviews (Wilson et al., 2013, Dev. Med. Child Neurol., 55, 217; Adams et al., 2014, Neurosci. Biobehav. Rev., 47C, 225) suggest that a common underlying problem in developmental coordination disorder (DCD) is the internal modelling deficit. The study presented here is the first to test this hypothesis using a within-subject design, assessing motor imagery, action planning, and rapid online control (ROC) in a sample of children screened rigorously for DCD. Participants were 66 children; 33 children (26 boys and seven girls) aged 6-11 years in the DCD group and 33 controls (gender and age matched). Motor imagery was assessed with the hand rotation task (HRT), action planning with an end-state comfort effect test, and ROC with the double-step pointing task. Results showed that children with DCD were slower and less accurate than controls in the HRT. Reduced forward planning for comfortable end-state was also shown in DCD. Finally, no group differences were found on the ROC task. Collectively, children with DCD manifest deficits in the internal modelling of movements, but this varies under different task constraints, particularly those related to movement complexity.

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Section: Introductionmentioning

confidence: 76%

Testing predictive control of movement in children with developmental coordination disorder using converging operations

Adams

Lust

Wilson

et al. 2016

British J of Psychology

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“…The longitudinal study presented here showed that over a two-year period, the motor planning abilities of a group of children with CP (N = 22, aged 5-9 years at Time 0) showed no evidence of improvement. Motor planning was tested using a bar transport task (Noten et al, 2014) on three measurement occasions separated by 1 year. Our growth curve modeling results were in broad agreement with our expectations.…”

Section: Discussionmentioning

confidence: 99%

“…The bar transport task (e.g., Noten, Wilson, Ruddock, & Steenbergen, 2014) consisted of a vertically placed rectangular panel (30 × 30 cm) on which a bar (width: 25 cm; diameter: 2.5 cm) was presented at different rotation angles. The bar itself was colored red at one end and yellow at the other and could rotate freely around its center axis.…”

Section: Apparatusmentioning

confidence: 99%

Motor planning in children with cerebral palsy: A longitudinal perspective

Lust

Spruijt

Wilson

et al. 2017

Journal of Clinical and Experimental Neuropsychology

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Introduction: Motor planning is important for daily functioning. Deficits in motor planning can result in slow, inefficient, and clumsy motor behavior and are linked to disruptions in performance of activities of daily living in children with cerebral palsy (CP). However, the evidence in CP is primarily based on cross-sectional data. Method: Data are presented on the development of motor planning in children with CP using a longitudinal design with three measurement occasions, each separated by 1 year. Twenty-two children with CP (9 boys, 13 girls; age in years;months, M = 7;1, SD = 1;2) and 22 age-matched controls (10 boys, 12 girls, M = 7;1, SD = 1;3) participated. Children performed a bar transport task in which some conditions ("critical angles") required participants to sacrifice initial posture comfort in order to achieve end-state comfort. Performance on critical trials was analyzed using linear growth curve modeling. Results: In general, children with CP showed poor end-state planning for critical angles. Importantly, unlike in controls, motor planning ability did not improve across the three measurement occasions in children with CP. Conclusion: These longitudinal results show that motor planning issues in CP do not resolve with development over childhood. Strategies to enhance motor planning are suggested for intervention.

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“…Group selection involved a two-step process: (a) parents completed a medical and developmental history questionnaire and (b) children's motor proficiency was tested using the McCarron Assessment of Neuromuscular Development (MAND; McCarron, 1997). On the MAND, children who scored less than 15 th percentile (Noten, Wilson, Ruddock, & Steenbergen, 2014;Piek, Baynam, & Barrett, 2006) (Criterion A), whose difficulty learning motor skills was deemed to interfere with daily activities (Criterion B), and whose movement difficulties were evident by school age (Criterion C), were included in the DCD group.…”

Section: Participantsmentioning

confidence: 99%

Coupling online control and inhibitory systems in children with Developmental Coordination Disorder: Goal-directed reaching

Ruddock

Piek

Sugden

et al. 2015

Research in Developmental Disabilities

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For children with Developmental Coordination Disorder (DCD), the real-time coupling between frontal executive function and online motor control has not been explored despite reported deficits in each domain. The aim of the present study was to investigate how children with DCD enlist online control under task constraints that compel the need for inhibitory control. A total of 129 school children were sampled from mainstream primary schools. Forty two children who met research criteria for DCD were compared with 87 typically developing controls on a modified double-jump reaching task. Children within each skill group were divided into three age bands: younger (6-7 years), mid-aged (8-9), and older (10-12). Online control was compared between groups as a function of trial type (non-jump, jump, anti-jump). Overall, results showed that while movement times were similar between skill groups under simple task constraints (non-jump), on perturbation (or jump) trials the DCD group were significantly slower than controls and corrected trajectories later. Critically, the DCD group was further disadvantaged by anti-jump trials where inhibitory control was required; however, this effect reduced with age. While coupling online control and executive systems is not well developed in younger and mid-aged children, there is evidence of ageappropriate coupling in older children. Longitudinal data is needed to clarify this intriguing finding. The theoretical and applied implications of these results are discussed.3

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Mild impairments of motor imagery skills in children with DCD

Cited by 46 publications

References 44 publications

Testing predictive control of movement in children with developmental coordination disorder using converging operations

Testing predictive control of movement in children with developmental coordination disorder using converging operations

Motor planning in children with cerebral palsy: A longitudinal perspective

Coupling online control and inhibitory systems in children with Developmental Coordination Disorder: Goal-directed reaching

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