How multi segmental patterns deviate in spastic diplegia from typical developed

Matteo Zago1, Chiarella Sforza2, Alessia Bona3

  • 1Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; Department of Biomedical Sciences for Health, Università degli Studi di Milano, via Mangiagalli 31, 20133 Milano, Italy.

Insights

Principal Component Analysis revealed distinct gait patterns in children with Cerebral Palsy (CP), highlighting compensatory strategies. This method offers a quantitative approach to understanding multi-joint movement connections in CP gait.

Area of Science:

  • Biomechanical analysis
  • Pediatric orthopedics
  • Movement science

Background:

  • The relationship between gait characteristics and coordination in children with Cerebral Palsy (CP) requires further investigation.
  • Principal Component Analysis (PCA) is a valuable tool for deconstructing complex movements into fundamental components, termed Principal Movements.
  • Understanding these components is crucial for characterizing multi-joint gait patterns in CP.

Purpose of the Study:

  • To quantitatively characterize the functional connections between multi-joint gait patterns in children with spastic diplegia.
  • To apply Principal Component Analysis to identify and analyze the principal movements during gait in children with CP.
  • To compare gait patterns between children with CP and typically developing peers.

Main Methods:

  • Standardized gait analysis was performed on 65 children with spastic diplegia (mean age 10.6 years) and 31 typically developing adolescents (mean age 13.6 years).
  • Participants were categorized into Crouch or knee Hyperextension groups based on standing knee flexion angle to assess postural effects on gait.
  • Three-dimensional coordinates of key joints (hips, knees, ankles, metatarsals, pelvis, shoulders) were analyzed using Principal Component Analysis.

Main Results:

  • Four Principal Movements explained 99% of the global variance in gait, with components 1-3 representing sagittal plane movements and components 4-6 addressing frontal plane movements and refinements.
  • Gait dimensionality was significantly higher in children with CP compared to controls (p<0.01).
  • The Crouch group showed significant differences from controls in components 1 and 4-6 (p<0.05), while the knee Hyperextension group differed in components 1-2 and 5 (p<0.05).

Conclusions:

  • Compensatory strategies in children with CP were objectively identified through the interactions between main and secondary movement patterns.
  • Principal Movements provide an efficient and quantitative method for interpreting gait reports, offering immediate insights into movement component connections.
  • This approach aids in a clearer understanding of gait deviations and compensatory mechanisms in Cerebral Palsy.
Abstract

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