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| 001 | 1025051 | ||
| 005 | 20250204113834.0 | ||
| 024 | 7 | _ | |a 10.1016/j.clinph.2023.12.043 |2 doi |
| 024 | 7 | _ | |a 1388-2457 |2 ISSN |
| 024 | 7 | _ | |a 0921-884X |2 ISSN |
| 024 | 7 | _ | |a 1872-8952 |2 ISSN |
| 037 | _ | _ | |a FZJ-2024-02639 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Doering, E. |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a MRI- or 18F-FDG PET-derived brain age gaps: Associations with markers of Alzheimer's disease |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2024 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a When the age of an individual's brain appears older than their chronological age, i.e., when the brain age gap (BAG) is positive, it may indicate the presence of a neurodegenerative condition, such as Alzheimer’s disease (AD). In this study, we evaluated whether BAG, determined by MRI (reflecting atrophy) or 18F-FDG PET (reflecting brain metabolism), correlate differentially with cognitive function, neuropathological indicators, and disease progression in individuals with normal cognitive function (CN), as well as those with subjective cognitive decline (SCD) or mild cognitive impairment (MCI). |
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| 700 | 1 | _ | |a Daamen, M. |0 P:(DE-HGF)0 |b 4 |
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| 773 | _ | _ | |a 10.1016/j.clinph.2023.12.043 |g Vol. 159, p. e15 - |0 PERI:(DE-600)1499934-1 |p e15 - |t Clinical neurophysiology |v 159 |y 2024 |x 1388-2457 |
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