Age and Task-Dependent Modulations in EMG-EMG Coherence during Gait: A Scoping Review
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Based on electromyography (EMG) recordings, EMG-EMG coherence method provides a practical approach to investigate neural mechanisms involved in locomotion. Although some studies indicated an influence of age and walking conditions on EMG-EMG coherence, no clear consensus emerged from the existing literature. The aim of this scoping review was to map the current literature on EMG-EMG coherence in healthy adults across ages and walking tasks. Six databases (CINAHL, Cochrane Central, CDSR, MEDLINE, Embase, and Web of Science) were searched, resulting in 31 studies included (575 healthy individuals). These studies analyzed EMG-EMG coherence of muscles involved during different locomotor tasks. The results revealed a consensus regarding the decrease in EMG-EMG coherence during walking with aging, particularly in the Beta and Gamma bands, which could be attributed to natural alterations in the corticospinal tract with age. Furthermore, Beta and Gamma EMG-EMG coherence showed an increased tendency during challenging proprioceptive and proactive locomotor tasks, which is interpreted as an enhancement of cortical involvement in gait control. This review also highlights the necessity for future research to examine EMG-EMG coherence in additional frequency bands, such as Alpha, utilizing standardized signal processing techniques and frequency classifications, and to investigate coherence in children across various locomotor tasks.
NEW & NOTEWORTHY
The EMG-EMG coherence method, based on electromyography recordings, is a practical tool to study neural mechanisms in locomotion. This scoping review explores the effect of age and walking conditions on EMG-EMG coherence during gait in healthy individuals. The results revealed a strong tendency of EMG-EMG coherence to decrease during aging and to increase during challenging proprioceptive and proactive locomotor tasks. This review also highlights gaps knowledge in children, and methodological concerns for coherence assessment.