Peter H Wilson1,2, Bouwien Smits-Engelsman3, Karen Caeyenberghs1,2, Bert Steenbergen2,4, David Sugden5, Jane Clark6, Nick Mumford2, Rainer Blank7,8. 1. School of Psychology, Australian Catholic University, Melbourne, Victoria, Australia. 2. Centre for Disability and Development Research, Australian Catholic University, Melbourne, Victoria, Australia. 3. Department of Health and Rehabilitation Services, University of Cape Town, Cape Town, South Africa. 4. Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands. 5. School of Special Needs Education, University of Leeds, Leeds, UK. 6. School of Public Health, University of Maryland, College Park, MD, USA. 7. Institute of Public Health, University of Heidelberg, Heidelberg, Germany. 8. Child Centre, Maulbronn, Germany.
Abstract
AIM: To better understand the neural and performance factors that may underlie developmental coordination disorder (DCD), and implications for a multi-component account. METHOD: A systematic review of the experimental literature published between June 2011 and September 2016 was conducted using a modified PICOS (population, intervention, comparison, outcomes, and study type) framework. A total of 106 studies were included. RESULTS: Behavioural data from 91 studies showed a broad cluster of deficits in the anticipatory control of movement, basic processes of motor learning, and cognitive control. Importantly, however, performance issues in DCD were often shown to be moderated by task type and difficulty. As well, we saw new evidence of compensatory processes and strategies in several studies. Neuroimaging data (15 studies, including electroencephalography) showed reduced cortical thickness in the right medial orbitofrontal cortex and altered brain activation patterns across functional networks involving prefrontal, parietal, and cerebellar regions in children with DCD than those in comparison groups. Data from diffusion-weighted magnetic resonance imaging suggested reduced white matter organization involving sensorimotor structures and altered structural connectivity across the whole brain network. INTERPRETATION: Taken together, results support the hypothesis that children with DCD show differences in brain structure and function compared with typically developing children. Behaviourally, these differences may affect anticipatory planning and reduce automatization of movement skill, prompting greater reliance on slower feedback-based control and compensatory strategies. Implications for future research, theory development, and clinical practice are discussed.
AIM: To better understand the neural and performance factors that may underlie developmental coordination disorder (DCD), and implications for a multi-component account. METHOD: A systematic review of the experimental literature published between June 2011 and September 2016 was conducted using a modified PICOS (population, intervention, comparison, outcomes, and study type) framework. A total of 106 studies were included. RESULTS: Behavioural data from 91 studies showed a broad cluster of deficits in the anticipatory control of movement, basic processes of motor learning, and cognitive control. Importantly, however, performance issues in DCD were often shown to be moderated by task type and difficulty. As well, we saw new evidence of compensatory processes and strategies in several studies. Neuroimaging data (15 studies, including electroencephalography) showed reduced cortical thickness in the right medial orbitofrontal cortex and altered brain activation patterns across functional networks involving prefrontal, parietal, and cerebellar regions in children with DCD than those in comparison groups. Data from diffusion-weighted magnetic resonance imaging suggested reduced white matter organization involving sensorimotor structures and altered structural connectivity across the whole brain network. INTERPRETATION: Taken together, results support the hypothesis that children with DCD show differences in brain structure and function compared with typically developing children. Behaviourally, these differences may affect anticipatory planning and reduce automatization of movement skill, prompting greater reliance on slower feedback-based control and compensatory strategies. Implications for future research, theory development, and clinical practice are discussed.
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