Multidimensional modeling of biological aging: integrating gait, eye movement, rest-state functional connectivity, and plasma biomarkers in non-dementia older adults
= 0.814; MAE = 1.902). These findings demonstrate that integrating physiological, neurological, and biomarker data substantially improves biological age modeling, supporting the development of comprehensive frameworks to assess aging better and guide timely, targeted preventive strategies.
Authors
- Meidan Wan
- Ziyu Ouyang
- Xiangmin Fan (ORCID: https://orcid.org/0000-0003-4223-2320)
- Tianyan Xu
- Yiliang Liu (ORCID: https://orcid.org/0000-0002-6301-6347)
- Jingyi Lin (ORCID: https://orcid.org/0009-0002-8690-6470)
- Xuewen Xiao
- Beisha Tang
- Sizhe Zhang
- Xuan Yang
- Qijie Yang
- Lu Shen
- Yuan Zhu
- Bin Jiao (ORCID: https://orcid.org/0000-0002-3393-8578)
- Shilin Luo (ORCID: https://orcid.org/0000-0002-6773-7790)
Institutions
- Central South University (CN)
- Institute of Software (CN)
- Xiangya Hospital Central South University (CN)
- South University (US)
Publication Details
- Journal
- The Journal of Prevention of Alzheimer s Disease
- Published
- 2026-04-11
- DOI
- https://doi.org/10.1016/j.tjpad.2026.100566
- Primary Topic
- Vestibular and auditory disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province
- Science and Technology Program of Hunan Province
- Xiangya Hospital, Central South University
- National Key Research and Development Program of China