Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits
Network analysis has shown promising potential to capture significant longitudinal changes in health conditions, spanning from the MCI diagnosis to dementia progression. It can serve as a valuable analytic approach for monitoring the health status of individuals in cognitive impairment assessment. Furthermore, our findings indicate a notable sex difference in the impact of specific health conditions on the progression of dementia.
Authors
- Maria Vassilaki (ORCID: https://orcid.org/0000-0001-8328-136X)
- Muskan Garg
- Sunyang Fu (ORCID: https://orcid.org/0000-0003-1691-5179)
- Ronald Carl Petersen (ORCID: https://orcid.org/0000-0002-8178-6601)
- Sara Hejazi (ORCID: https://orcid.org/0000-0002-6910-2895)
- Sunghwan Sohn (ORCID: https://orcid.org/0000-0001-8256-2602)
- Jennifer L. St. Sauver (ORCID: https://orcid.org/0000-0002-9789-8544)
Institutions
- University of Central Florida (US)
- Mayo Clinic (US)
- WinnMed (US)
- University of Florida (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1186/s12911-024-02711-z
- Citations
- 5
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.93
Funders
- Mayo Clinic
- Mayo Foundation for Medical Education and Research
- GHR Foundation
- National Institutes of Health
- National Institute on Aging