Gait analysis in older adults with mild cognitive impairment: a bibliometric analysis of global trends, hotspots, and emerging frontiers
This study provides a comprehensive overview of the current landscape, hotspots, and trends in gait analysis for MCI management. By delineating its transformation from a descriptive tool to a predictive framework, we highlight persistent challenges such as methodological heterogeneity and small sample sizes. However, advances in machine learning and multicenter collaborations present opportunities to standardize protocols. Future high-quality studies are expected to establish gait-derived biomarkers as clinically actionable tools in MCI stratification and therapeutic monitoring.
Authors
- Yuchun Zhong
- Peifeng Shen
- Yuanchao Li (ORCID: https://orcid.org/0000-0002-8005-947X)
- M. Zou (ORCID: https://orcid.org/0009-0002-9674-3505)
- Siqi Huang (ORCID: https://orcid.org/0000-0002-4813-5073)
- Yanan He
- Yi‐Ming Chen (ORCID: https://orcid.org/0000-0003-2914-6751)
- Chunlong Liu (ORCID: https://orcid.org/0000-0002-0129-0535)
- Zhibiao Chen
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Zhongshan Hospital (CN)
Publication Details
- Journal
- Frontiers in Aging
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fragi.2025.1592464
- Citations
- 2
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 9.52
Funders
- Guangzhou University of Chinese Medicine
- Guangzhou University