Visual-motor integration in children with unilateral cerebral palsy: application of the computer-aided measure of visual-motor integration

• Published in: Journal of neuroengineering and rehabilitation Vol. 21; no. 1; p. 37
• Main Authors: Huang, Wen-Feng, Chen, Ren-Yu, Wang, Tien-Ni, Chuang, Po-Ya, Shieh, Jeng-Yi, Chen, Hao-Ling
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 19-03-2024; BioMed Central; BMC
• Subjects: Accuracy; Assessments; Beery-VMI; Cerebral palsied children; Cerebral Palsy; Child; Child Development; Children; Computer-aided medical diagnosis; Computers; Curriculum; Decision making; Developmental disabilities; Engines; Hand; Handwriting; Humans; Image registration; Integration; Investigations; Medical examination; Methods; Motor ability; Neuropsychological tests for children; Pediatric research; Performance prediction; Physiological aspects; Prediction models; Psychological aspects; Psychomotor Performance; Registration; Regression analysis; Sensorimotor integration; Unilateral cerebral palsy; Visual-motor integration; Writing readiness; Taiwan; Image registration; Handwriting; Unilateral cerebral palsy; Technology; Beery-VMI; Computer-aided; Visual-motor integration; Writing readiness; Children
• ISSN: 1743-0003; 1743-0003
• DOI: 10.1186/s12984-024-01335-8

Children with unilateral cerebral palsy (UCP) are encouraged to participate in the regular school curriculum. However, even when using the less-affected hand for handwriting, children with UCP still experience handwriting difficulties. Visual-motor integration (VMI) is a predictor of handwriting quality. Investigating VMI in children with UCP is important but still lacking. Conventional paper-based VMI assessments is subjective and use all-or-nothing scoring procedures, which may compromise the fidelity of VMI assessments. Moreover, identifying important shapes that are predictive of VMI performance might benefit clinical decision-making because different geometric shapes represent different developmental stepping stones of VMI. Therefore, a new computer-aided measure of VMI (the CAM-VMI) was developed to investigate VMI performance in children with UCP and to identify shapes important for predicting their VMI performance.
Twenty-eight children with UCP and 28 typically-developing (TD) children were recruited. All participants were instructed to complete the CAM-VMI and Beery-Buktenica Developmental Test of Visual-Motor Integration (Beery-VMI). The test items of the CAM-VMI consisted of nine simple geometric shapes related to writing readiness. Two scores of the CAM-VMI, namely, Error and Effort, were obtained by image registration technique. The performances on the Beery-VMI and the CAM-VMI of children with UCP and TD children were compared by independent t-test. A series of stepwise regression analyses were used to identify shapes important for predicting VMI performance in children with UCP.
Significant group differences were found in both the CAM-VMI and the Beery-VMI results. Furthermore, Error was identified as a significant aspect for predicting VMI performance in children with UCP. Specifically, the square item was the only significant predictor of VMI performance in children with UCP.
This study was a large-scale study that provided direct evidence of impaired VMI in school-aged children with UCP. Even when using the less-affected hand, children with UCP could not copy the geometric shapes as well as TD children did. The copied products of children with UCP demonstrated poor constructional accuracy and inappropriate alignment. Furthermore, the predictive model suggested that the constructional accuracy of a copied square is an important predictor of VMI performance in children with UCP.