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@ARTICLE{Doering:1025051,
author = {Doering, E. and Antonopoulos, G. and Hönig, M. and van
Eimeren, T. and Daamen, M. and Boecker, H. and Jessen, F.
and Duezel, E. and Eickhoff, S. and Patil, K. and Drzezga,
A.},
title = {{MRI}- or 18{F}-{FDG} {PET}-derived brain age gaps:
{A}ssociations with markers of {A}lzheimer's disease},
journal = {Clinical neurophysiology},
volume = {159},
issn = {1388-2457},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2024-02639},
pages = {e15 -},
year = {2024},
abstract = {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).},
cin = {INM-7 / INM-2},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-2-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525) / 5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)16},
doi = {10.1016/j.clinph.2023.12.043},
url = {https://juser.fz-juelich.de/record/1025051},
}