Background: The relationship between gait features and coordination in children with Cerebral Palsy is not sufficiently analyzed yet. Principal Component Analysis can help in understanding motion patterns decomposing movement into its fundamental components (Principal Movements). This study aims at quantitatively characterizing the functional connections between multi-joint gait patterns in Cerebral Palsy. Methods: 65 children with spastic diplegia aged 10.6 (SD 3.7) years participated in standardized gait analysis trials; 31 typically developing adolescents aged 13.6 (4.4) years were also tested. To determine if posture affects gait patterns, patients were split into Crouch and knee Hyperextension group according to knee flexion angle at standing. 3D coordinates of hips, knees, ankles, metatarsal joints, pelvis and shoulders were submitted to Principal Component Analysis. Findings: Four Principal Movements accounted for 99% of global variance; components 1-3 explained major sagittal patterns, components 4-5 referred to movements on frontal plane and component 6 to additional movement refinements. Dimensionality was higher in patients than in controls (p < 0.01), and the Crouch group significantly differed from controls in the application of components 1 and 4-6 (p < 0.05), while the knee Hyperextension group in components 1-2 and 5 (p < 0.05). Interpretation: Compensatory strategies of children with Cerebral Palsy (interactions between main and secondary movement patterns), were objectively determined. Principal Movements can reduce the effort in interpreting gait reports, providing an immediate and quantitative picture of the connections between movement components.

How multi segmental patterns deviate in spastic diplegia from typical developed / M. Zago, C. Sforza, A. Bona, V. Cimolin, P..F. Costici, C. Condoluci, M. Galli. - In: CLINICAL BIOMECHANICS. - ISSN 0268-0033. - 48(2017 Oct), pp. 103-109. [10.1016/j.clinbiomech.2017.07.016]

How multi segmental patterns deviate in spastic diplegia from typical developed

M. Zago
Primo
;
C. Sforza
Secondo
;
2017

Abstract

Background: The relationship between gait features and coordination in children with Cerebral Palsy is not sufficiently analyzed yet. Principal Component Analysis can help in understanding motion patterns decomposing movement into its fundamental components (Principal Movements). This study aims at quantitatively characterizing the functional connections between multi-joint gait patterns in Cerebral Palsy. Methods: 65 children with spastic diplegia aged 10.6 (SD 3.7) years participated in standardized gait analysis trials; 31 typically developing adolescents aged 13.6 (4.4) years were also tested. To determine if posture affects gait patterns, patients were split into Crouch and knee Hyperextension group according to knee flexion angle at standing. 3D coordinates of hips, knees, ankles, metatarsal joints, pelvis and shoulders were submitted to Principal Component Analysis. Findings: Four Principal Movements accounted for 99% of global variance; components 1-3 explained major sagittal patterns, components 4-5 referred to movements on frontal plane and component 6 to additional movement refinements. Dimensionality was higher in patients than in controls (p < 0.01), and the Crouch group significantly differed from controls in the application of components 1 and 4-6 (p < 0.05), while the knee Hyperextension group in components 1-2 and 5 (p < 0.05). Interpretation: Compensatory strategies of children with Cerebral Palsy (interactions between main and secondary movement patterns), were objectively determined. Principal Movements can reduce the effort in interpreting gait reports, providing an immediate and quantitative picture of the connections between movement components.
cerebral palsy; principal component analysis; Gait analysis; principal movements
Settore BIO/16 - Anatomia Umana
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
ott-2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/520857
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