Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment
Our multisource elastic net model demonstrated high performance at detecting MCI, suggesting that the combination of multimodal neuroimaging biomarkers contributes to MCI discrimination.
Authors
- Kiyotaka Nemoto (ORCID: https://orcid.org/0000-0001-8623-9829)
- Masafumi Ihara (ORCID: https://orcid.org/0000-0002-7102-4048)
- Eri Kiyoshige (ORCID: https://orcid.org/0000-0002-0558-9323)
- Kiyomasa Nakatsuka (ORCID: https://orcid.org/0000-0002-3741-6347)
- Kunihiro Nishimura (ORCID: https://orcid.org/0000-0002-0639-0949)
- Soshiro Ogata (ORCID: https://orcid.org/0000-0002-0100-376X)
- Yuriko Nakaoku (ORCID: https://orcid.org/0000-0002-3100-574X)
- Chikage Kakuta
- K. Teramoto (ORCID: https://orcid.org/0000-0002-4217-9497)
- Gantsetseg Ganbaatar
Institutions
- University of Tsukuba (JP)
- National Cerebral and Cardiovascular Center (JP)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-08-13
- DOI
- https://doi.org/10.3389/fnagi.2025.1650629
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science