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Statistical Parametric Mapping to Identify Differences between Consensus-Based Joint Patterns during Gait in Children

Angela Nieuwenhuys1,2, Eirini Papageorgiou1,2, Kaat Desloovere1,2

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Summary

This study quantitatively validated 49 joint motion patterns in children with cerebral palsy (CP). Findings support most consensus rules but suggest refining definitions for minor gait deviations and identifying additional kinematic differences.

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Area of Science:

  • Biomechanical analysis
  • Pediatric orthopedics
  • Cerebral palsy research

Background:

  • Expert consensus identified 49 joint motion patterns in children with cerebral palsy (CP).
  • These pattern definitions relied on subjective expert opinion.
  • Objective, quantitative data is needed to support these consensus-based patterns.

Purpose of the Study:

  • To provide objective, quantitative data supporting the identification of 49 consensus-based joint motion patterns in children with CP.
  • To compare kinematic waveforms of typically developing children with those of children with CP.
  • To validate the accuracy and completeness of existing consensus rules.

Main Methods:

  • Statistical parametric mapping (SPM) was used for quantitative analysis.
  • Compared kinematic waveforms of typically developing children (n=56) with children with CP (n=356).
  • Analyzed 154 trials from typically developing children and 1719 trials from children with CP, classified using Delphi study rules.

Main Results:

  • Ten of eleven 'no or minor gait deviation' patterns showed small differences (≤3°) from typically developing gait.
  • All 38 pathological joint motion patterns significantly differed from typically developing gait, aligning with consensus rules.
  • Most joint motion patterns differed significantly across gait cycle phases, except for two pelvic sagittal plane patterns.

Conclusions:

  • The study provides quantitative support for most consensus-based joint motion patterns in children with CP.
  • Minor deviations require refined definitions, and additional kinematic differences were identified.
  • Findings suggest improvements for future consensus-based pattern definitions in pediatric gait analysis.