Independent replication of advanced brain age in mild cognitive impairment and dementia: detection of future cognitive dysfunction

We previously developed a novel machine-learning-based brain age model that was sensitive to amyloid. We aimed to independently validate it and to demonstrate its utility using independent clinical data. We recruited 650 participants from South Korean memory clinics to undergo magnetic resonance ima...

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Bibliographic Details
Published in:Molecular psychiatry 2022-12, Vol.27 (12), p.5235-5243
Main Authors: Karim, Helmet T., Aizenstein, Howard J., Mizuno, Akiko, Ly, Maria, Andreescu, Carmen, Wu, Minjie, Hong, Chang Hyung, Roh, Hyun Woong, Park, Bumhee, Lee, Heirim, Kim, Na-Rae, Choi, Jin Wook, Seo, Sang Won, Choi, Seong Hye, Kim, Eun-Joo, Kim, Byeong C., Cheong, Jae Youn, Lee, Eunyoung, Lee, Dong-gi, Cho, Yong Hyuk, Moon, So Young, Son, Sang Joon
Format: Article
Language:English
Subjects:
59/57
692/53/2421
692/53/2422
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Age
Aged
Aged, 80 and over
Alzheimer Disease
Amyloid beta-Peptides - metabolism
Apolipoprotein E4
Behavioral Sciences
Biological Psychology
Brain - metabolism
Child, Preschool
Cognition
Cognitive ability
Cognitive Dysfunction
Dementia
Dementia disorders
Humans
Magnetic Resonance Imaging
Medicine
Medicine & Public Health
Middle Aged
Neuroimaging
Neurosciences
Pharmacotherapy
Positron emission tomography
Positron-Emission Tomography - methods
Psychiatry
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Summary:We previously developed a novel machine-learning-based brain age model that was sensitive to amyloid. We aimed to independently validate it and to demonstrate its utility using independent clinical data. We recruited 650 participants from South Korean memory clinics to undergo magnetic resonance imaging and clinical assessments. We employed a pretrained brain age model that used data from an independent set of largely Caucasian individuals ( n  = 757) who had no or relatively low levels of amyloid as confirmed by positron emission tomography (PET). We investigated the association between brain age residual and cognitive decline. We found that our pretrained brain age model was able to reliably estimate brain age (mean absolute error = 5.68 years, r (650) = 0.47, age range = 49–89 year) in the sample with 71 participants with subjective cognitive decline (SCD), 375 with mild cognitive impairment (MCI), and 204 with dementia. Greater brain age was associated with greater amyloid and worse cognitive function [Odds Ratio, (95% Confidence Interval {CI}): 1.28 (1.06–1.55), p  = 0.030 for amyloid PET positivity; 2.52 (1.76–3.61), p  
ISSN:1359-4184
1476-5578
DOI:10.1038/s41380-022-01728-y