The Magical Connection Between Age and Walking Adaptation

Published on August 18, 2022

Just like performance in a magical act, walking adaptation is affected by age. As we grow older, the strength of the signals from our brain to our leg muscles decreases during walking, resulting in reduced adaptation compared to younger adults. Scientists conducted a study to explore how the contribution of these signals, known as corticospinal drive, changes with age. They measured muscle activity in the legs of healthy young and older adults while they walked on a split-belt treadmill. By analyzing the patterns of this muscle activity, they found that young adults had stronger connections between their muscles in both high-frequency and mid-frequency ranges compared to older adults. The study also revealed that the strength of the connections in specific frequency ranges predicted how well individuals adapted certain aspects of their walking. However, age alone played a role in one aspect of walking adaptation. These findings emphasize the importance of corticospinal signals in adapting interlimb timing while walking, regardless of age! To dive deeper into the research and learn more about this magical connection, click on the link above!

Healthy aging is associated with reduced corticospinal drive to leg muscles during walking. Older adults also exhibit slower or reduced gait adaptation compared to young adults. The objective of this study was to determine age-related changes in the contribution of corticospinal drive to ankle muscles during walking adaptation. Electromyography (EMG) from the tibialis anterior (TA), soleus (SOL), medial, and lateral gastrocnemius (MGAS, LGAS) were recorded from 20 healthy young adults and 19 healthy older adults while they adapted walking on a split-belt treadmill. We quantified EMG-EMG coherence in the beta-gamma (15–45 Hz) and alpha-band (8–15 Hz) frequencies. Young adults demonstrated higher coherence in both the beta-gamma band coherence and alpha band coherence, although effect sizes were greater in the beta-gamma frequency. The results showed that slow leg TA-TA coherence in the beta-gamma band was the strongest predictor of early adaptation in double support time. In contrast, early adaptation in step length symmetry was predicted by age group alone. These findings suggest an important role of corticospinal drive in adapting interlimb timing during walking in both young and older adults.

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