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Peer-reviewedCC BY 4.0PLOS One

Infant limb kinematics and muscle force variation during kicking is associated with clinical cerebral palsy risk measures

8 affiliations
  1. 1School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom
  2. 2School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland
  3. 3Department of Computing, Imperial College London, London, United Kingdom
  4. 4Department of Bioengineering, Imperial College London, London, United Kingdom
  5. 5Dept. AIBE, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  6. 6Neonatal Unit, Evelina London Children’s Hospital, Guy’s and St Thomas’ NHS Trust, London, United Kingdom
  7. 7Early Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
  8. 8MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom

Abstract

Early limb motor development progresses from spontaneous to increasingly complex movements. Restricted movement variety in infancy can indicate neuromotor impairment associated with cerebral palsy (CP) risk. The General Movement Optimality Score (GMOS) used in clinic detects abnormal movement patterns, but requires highly trained physiotherapists, limiting accessibility. Objective biomechanical measures may provide quantitative predictors of CP risk, reducing clinical burden while offering novel physiotherapeutic targets. This study investigated whether variation in lower limb kinematics and muscle forces during spontaneous kicking is reduced in infants with lower GMOS scores, indicating higher CP risk. We also examined whether variation correlates with gestational and corrected age, reflecting the transition to more complex movements. Twenty-six Infants aged 0–3 months underwent wired electromagnetic motion capture (Polhemus Liberty System) with musculoskeletal modelling to estimate kinematics and muscle force waveforms, alongside GMOS scoring. Waveform variation was quantified using functional principal component analysis and correlated with GMOS scores and age, while partial least squares discriminant analysis (PLS-DA) identified biomechanical predictors of GMOS indications of ‘normal’ versus ‘poor repertoire’ (PR) movements. Variation in knee flexion, hip flexion and abduction kinematics, and rectus femoris, pectineus, biceps femoris and gemelli forces significantly correlated with GMOS scores. Gestational age correlated with hip abduction, ankle dorsiflexion, and gemelli and medial gastrocnemius forces. PLS-DA achieved 85% accuracy distinguishing normal from poor repertoire movements, with knee and hip kinematics and biceps femoris force as key discriminators. These findings demonstrate that lower limb kinematic and neuromuscular variation aligns with clinical motor assessments, supporting their potential as objective biomechanical markers of CP risk.

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BibTeX
@article{khatib2026infant,
  title = {{Infant limb kinematics and muscle force variation during kicking is associated with clinical cerebral palsy risk measures}},
  author = {Nidal S. Khatib and Luca J. Schmidtke and Anna Lukens and Tomoki Arichi and Silvia Muceli and Etienne Burdet and Bernhard Kainz and Niamh C. Nowlan},
  journal = {PLOS One},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pone.0357214},
  url = {https://doi.org/10.1371/journal.pone.0357214},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Infant limb kinematics and muscle force variation during kicking is associated with clinical cerebral palsy risk measures
AU  - Nidal S. Khatib
AU  - Luca J. Schmidtke
AU  - Anna Lukens
AU  - Tomoki Arichi
AU  - Silvia Muceli
AU  - Etienne Burdet
AU  - Bernhard Kainz
AU  - Niamh C. Nowlan
PY  - 2026
DA  - 2026/09/08
JO  - PLOS One
DO  - 10.1371/journal.pone.0357214
UR  - https://doi.org/10.1371/journal.pone.0357214
AB  - Early limb motor development progresses from spontaneous to increasingly complex movements. Restricted movement variety in infancy can indicate neuromotor impairment associated with cerebral palsy (CP) risk. The General Movement Optimality Score (GMOS) used in clinic detects abnormal movement patterns, but requires highly trained physiotherapists, limiting accessibility. Objective biomechanical measures may provide quantitative predictors of CP risk, reducing clinical burden while offering novel physiotherapeutic targets. This study investigated whether variation in lower limb kinematics and muscle forces during spontaneous kicking is reduced in infants with lower GMOS scores, indicating higher CP risk. We also examined whether variation correlates with gestational and corrected age, reflecting the transition to more complex movements. Twenty-six Infants aged 0–3 months underwent wired electromagnetic motion capture (Polhemus Liberty System) with musculoskeletal modelling to estimate kinematics and muscle force waveforms, alongside GMOS scoring. Waveform variation was quantified using functional principal component analysis and correlated with GMOS scores and age, while partial least squares discriminant analysis (PLS-DA) identified biomechanical predictors of GMOS indications of ‘normal’ versus ‘poor repertoire’ (PR) movements. Variation in knee flexion, hip flexion and abduction kinematics, and rectus femoris, pectineus, biceps femoris and gemelli forces significantly correlated with GMOS scores. Gestational age correlated with hip abduction, ankle dorsiflexion, and gemelli and medial gastrocnemius forces. PLS-DA achieved 85% accuracy distinguishing normal from poor repertoire movements, with knee and hip kinematics and biceps femoris force as key discriminators. These findings demonstrate that lower limb kinematic and neuromuscular variation aligns with clinical motor assessments, supporting their potential as objective biomechanical markers of CP risk.
SN  - 1932-6203
ER  -