Motion analysis of the upper extremity in children with unilateral cerebral palsy--an assessment of six daily tasks.
A quick 3-D motion check shows trunk cheat and forearm limits that MACS alone can’t see.
01Research in Context
What this study did
The team watched kids with cerebral palsy do six everyday arm tasks.
They used 3-D motion cameras to catch tiny trunk shifts and forearm twists.
Each child’s MACS level was noted so results could be lined up with this simple five-step scale.
What they found
Higher MACS levels moved slower and used more trunk sway to finish the job.
The clearest problem was limited forearm pronation and supination.
These motion losses were invisible to the naked eye during normal clinical tests.
How this fits with other research
Compagnone et al. (2014) found MACS links tightly with GMFCS and CFCS, proving the five-level system is solid.
Asano et al. (2025) extended this idea by showing MACS also predicts when fluid intelligence starts to lag, so the same quick rating now maps to both motor and cognitive paths.
Greenlee et al. (2024) used automated video on kids with autism and saw the same payoff: cheap tech can spot small movement signs that clinicians miss.
Why it matters
You already write MACS in your report. Add a two-minute phone-video clip and slow-motion replay. Look for trunk shift and forearm roll. If you see both, you have hard numbers for goals and can show parents why therapy needs to keep going.
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02At a glance
03Original abstract
Restrictions in range of motion of the upper extremity are common in patients with unilateral cerebral palsy (CP). The purpose of this study was to investigate movement deviations of the upper extremity in children with unilateral CP by means of 3D motion capture as well as by the use of easy to use scores and questionnaires (MACS, MRC, MAS, ABILHAND-Kids). 16 children with a spastic, unilateral CP were included and compared to a group of 17 typically developing adolescents (TD). The movement time and range of motion (ROM) of six uni- and bimanual daily tasks were compared and correlated with the scores and questionnaires. Movement times increased significantly with involvement according to MACS in all tasks. The restrictions in ROM were pronounced in the forearm. As a compensatory mechanism the children of the MACS 2 and 3 groups showed increased trunk movement. Furthermore, there was a positive correlation between the MACS and the ABILHAND-Kids Questionnaire. In contrast to previous studies, which reported a correlation between the restrictions in ROM and the MACS, this study showed no consistent correlation between the restrictions in ROM neither with the MACS nor with the ABILHAND-Kids. While the MACS and the ABILHAND-Kids function as a simple rating tool for clinical use, the detailed analysis of different daily tasks using 3-D-motion capture provides more detailed information about the movement deviations and spatiotemporal parameters.
Research in developmental disabilities, 2014 · doi:10.1016/j.ridd.2014.07.021