Brain age gap as a predictive biomarker that links aging, lifestyle, and neuropsychiatric health
BAG predicts accelerated brain aging, neuropsychiatric disorders, and mortality. Its ability to detect nonlinear cognitive thresholds and modifiability through lifestyle changes makes it useful for risk stratification and prevention.
Authors
- Ruixia Zhang (ORCID: https://orcid.org/0000-0002-6171-7828)
- Zhengxing Huang (ORCID: https://orcid.org/0000-0002-2644-8642)
- Junhang Zhang (ORCID: https://orcid.org/0000-0002-7847-3102)
- Kai Wang (ORCID: https://orcid.org/0000-0002-6197-914X)
- Hongjing Mao
- Yi Fan
Institutions
- Zhejiang A & F University (CN)
- Xinjiang Medical University (CN)
- Hangzhou Seventh Peoples Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1038/s43856-025-01100-5
- Citations
- 6
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 7.20
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province