Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis
These results offer tentative support to the view the factors associated with BAg among individuals with TBI differ from factors associated with BAg among HCs, and between men and women. Specifically, BAg among individuals with TBI is predicted by neuroanatomical factors, while among HCs it is predicted only by CA. This may reflect features of the algorithm, an underlying biological process, or both.
Authors
- Victoria Liou‐Johnson (ORCID: https://orcid.org/0000-0002-7377-6147)
- John P. Coetzee (ORCID: https://orcid.org/0000-0002-7935-3647)
- Emily L. Dennis (ORCID: https://orcid.org/0000-0001-7112-4009)
- Xiaojian Kang
- Ines Luttenbacher
- Elika Eshghi
- Frank Gerard Hillary (ORCID: https://orcid.org/0000-0002-1427-0218)
- Maheen M. Adamson (ORCID: https://orcid.org/0000-0002-1534-4063)
- Srija Seenivasan (ORCID: https://orcid.org/0000-0002-9620-8986)
- Siddhi Shah
- Daya Grewal
Institutions
- Pennsylvania State University (US)
- Uniformed Services University of the Health Sciences (US)
- Palo Alto University (US)
- VA Palo Alto Health Care System (US)
- University of Utah (US)
- Stanford Medicine (US)
- George E. Wahlen Department of VA Medical Center (US)
- University of Amsterdam (NL)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3389/fnagi.2025.1472207
- Citations
- 1
- Primary Topic
- Traumatic Brain Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 1.35