
Scientists may have uncovered a surprising new method for diagnosing autism—by analysing the way a person walks. A recent study suggests that subtle differences in gait could serve as an early indicator of autism spectrum disorder (ASD), offering a non-invasive and potentially more accessible diagnostic tool.
The Science Behind the Discovery
Researchers found that individuals with autism often exhibit distinct walking patterns, such as variations in stride length, balance, or coordination. These differences, though subtle, could be detected through advanced motion analysis technology.
Why This Matters
Early diagnosis of autism is crucial for effective intervention, yet many children—particularly girls—are diagnosed late due to the subjective nature of current assessments. A gait-based approach could provide a more objective and scalable screening method.
How the Study Was Conducted
The research involved motion-capture technology to analyse the walking styles of both neurotypical individuals and those with ASD. Key findings included:
- Differences in arm swing symmetry
- Variations in step timing
- Subtle postural adjustments
Potential Implications
If validated through larger studies, gait analysis could:
- Complement existing diagnostic tools
- Help identify autism in younger children
- Reduce disparities in diagnosis rates
Experts caution that walking analysis shouldn't replace comprehensive assessments but could serve as an additional screening tool, particularly in areas with limited access to specialist care.