Quantitative coordination evaluation for screening children with Duchenne muscular dystrophy.

Area of Science:

• Biomedical Engineering
• Neurology
• Pediatrics

Background:

• Early diagnosis of Duchenne muscular dystrophy (DMD) is vital for timely treatment.
• Children with DMD often exhibit early motor deficits, particularly in balance and coordination.
• Quantifying these coordination differences is key for developing effective screening tools.

Purpose of the Study:

• To develop and validate a novel method for quantifying coordination differences between children with DMD and typically developing (TD) children.
• To introduce a new index, the relative coupling coefficient (RCC), derived from gait patterns.
• To assess the feasibility and reliability of RCC for early DMD screening.

Main Methods:

• Utilized a Local Manifold Structure Mapping approach in phase space to analyze gait data.
• Extracted the relative coupling coefficient (RCC) from gait signals acquired via wearable accelerometers.
• Compared RCC values between 100 children with DMD and 100 TD children across four age groups.

Main Results:

• Significant differences in RCC were observed between DMD and TD children in all age groups (p < 0.001).
• RCC demonstrated a gradual decrease in coordination ability with age in DMD patients, aligning with clinical observations.
• The study verified the feasibility and reliability of RCC in distinguishing DMD from TD children.

Conclusions:

• The relative coupling coefficient (RCC) serves as a sensitive functional biomarker for differentiating DMD from TD children.
• RCC extracted from gait data offers a valuable tool for the early screening and potential diagnosis of DMD.
• This approach provides novel insights into the motor coordination impairments associated with DMD.