This project contains code and data to perform predictive simulations of gait for a child with cerebral palsy (CP) and explore the differential effects of motor control and musculoskeletal deficits on gait dysfunction.

Physics-based simulations of walking have the theoretical potential to support clinical decision-making by predicting the functional outcome of treatments in terms of walking performance. Yet before using such simulations in clinical practice, their ability to identify the main treatment targets in specific patients needs to be demonstrated.

In this study, we generated predictive simulations of walking with a medical imaging based neuro-musculoskeletal model of a child with cerebral palsy presenting crouch gait. We explored the influence of altered muscle-tendon properties, reduced neuromuscular control complexity, and spasticity on gait dysfunction in terms of joint kinematics, kinetics, muscle activity, and metabolic cost of transport. We modeled altered muscle-tendon properties by personalizing Hill-type muscle-tendon parameters based on data collected during functional movements, simpler neuromuscular control by reducing the number of independent muscle synergies, and spasticity through delayed muscle activity feedback from muscle force and force rate.

Our simulations revealed that, in the presence of aberrant musculoskeletal geometries, altered muscle-tendon properties rather than reduced neuromuscular control complexity and spasticity were the primary cause of the crouch gait pattern observed for this child, which is in agreement with the clinical
examination. These results suggest that muscle-tendon properties should be the primary target of interventions aiming to restore an upright gait pattern for this child. This suggestion is in line with the gait analysis following muscle-tendon property and bone deformity corrections.

Find more information about this work in the associated publication: https://www.frontiersin.org/articles/10.3389/fnhum.2020.00040/full.

The released folder contains readme files with details of the folder structure. Please contact me for any questions (antoine.falisse@kuleuven.be) or post an issue on GitHub: https://github.com/antoinefalisse/predictcpgait. Please note that the GitHub repository is actively maintained, so bugs are likely to be solved on Github than on SimTK.