ArticleFrontiers in aging neuroscience2023
Novel attentional gait index reveals a cognitive ability-related decline in gait automaticity during dual-task walking.
Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Locomotor savings relies on attentional control of walking in older, but not younger adults.bioRxiv : the preprint server for biology · 2026Article
- Advancing standardisation of motor-cognitive dual task walking assessments: a scoping review of methodological practices in healthy older adults.BMC geriatrics · 2026Article
- Integrated approaches for investigating the neural bases of movement-highlights from the 34th Annual Meeting of the Society for the Neural Control of Movement.Journal of neurophysiology · 2026Article
- Nigrostriatal dopaminergic integrity in relation to prefrontal cortex activity and gait performance during dual-task walking in older adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Effects of external ankle support and dual-tasking on gait in patients with chronic lateral ankle instability.BMC sports science, medicine & rehabilitation · 2025Article
- Personalized versus fixed tactile cueing in Parkinson's disease: Protocol for a randomized controlled trial on gait automaticity.PloS one · 2025Article
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6 authors at 2 institutions in 1 country.
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Abstract
Introduction: Gait automaticity refers to the ability to walk with minimal recruitment of attentional networks typically mediated through the prefrontal cortex (PFC). Reduced gait automaticity (i.e., greater use of attentional resources during walking) is common with aging, contributing to an increased risk of falls and reduced quality of life. A common assessment of gait automaticity involves examining PFC activation using near-infrared spectroscopy (fNIRS) during dual-task (DT) paradigms, such as walking while performing a cognitive task. However, neither PFC activity nor task performance in isolation measures automaticity accurately. For example, greater PFC activation could be interpreted as worse gait automaticity when accompanied by poorer DT performance, but when accompanied by better DT performance, it could be seen as successful compensation. Thus, there is a need to incorporate behavioral performance and PFC measurements for a more comprehensive evaluation of gait automaticity. To address this need, we propose a novel attentional gait index as an analytical approach that combines changes in PFC activity with changes in DT performance to quantify automaticity, where a reduction in automaticity will be reflected as an increased need for attentional gait control (i.e., larger index). Methods: The index was validated in 173 participants (≥65 y/o) who completed DTs with two levels of difficulty while PFC activation was recorded with fNIRS. The two DTs consisted of reciting every other letter of the alphabet while walking over either an even or uneven surface. Results: As DT difficulty increases, more participants showed the anticipated increase in the attentional control of gait (i.e., less automaticity) as measured by the novel index compared to PFC activation. Furthermore, when comparing across individuals, lower cognitive function was related to higher attentional gait index, but not PFC activation or DT performance. Conclusion: The proposed index better quantified the differences in attentional control of gait between tasks and individuals by providing a unified measure that includes both brain activation and performance. This new approach opens exciting possibilities to assess participant-specific deficits and compare rehabilitation outcomes from gait automaticity interventions.
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