ArticleMolecular psychiatry2022
Independent replication of advanced brain age in mild cognitive impairment and dementia: detection of future cognitive dysfunction.
Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024Pooled it
- Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled clinical trial.Dialogues in clinical neuroscience · 2024Trial
- Comparison of Brain Age With Standard MRI Assessment for Dementia Risk Stratification in Subjective and Mild Cognitive Impairment.Neurology · 2026Article
- Resting-state brain age is associated with cognitive and sensorimotor abnormalities in schizophrenia spectrum disorders: a validation & longitudinal study.Translational psychiatry · 2026Article
- Altered T1w/T2w-FLAIR Ratio in White Matter Hyperintensities as an Indicator of Structural Integrity Loss: Association with Alzheimer's Disease and Vascular Dementia.medRxiv : the preprint server for health sciences · 2026Article
- Elevated BrainAGE precedes cognitive impairment and improves prediction of future cognitive decline.medRxiv : the preprint server for health sciences · 2026Article
- Resting-State Brain Age Predicts Cognitive and Sensorimotor Deficits in Schizophrenia Spectrum Disorders: A Validation & Longitudinal Study.Research square · 2026Article
- Multilevel white matter degeneration associated cognitive dysfunction in mild cognitive impairment.Molecular psychiatry · 2026Article
- Brain Age as a Biomarker in Alzheimer's Disease: Narrative Perspectives on Imaging, Biomarkers, Machine Learning, and Intervention Potential.Brain sciences · 2025Review
- Fitness and exercise effects on brain age: A randomized clinical trial.Journal of sport and health science · 2025Article
- Distinct gut microbiota profiles and network properties in older Korean individuals with subjective cognitive decline, mild cognitive impairment, and Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers.Molecular psychiatry · 2025Article
- Utility of plasma GFAP as a secondary endpoint for clinical trials in Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025Article
- Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Observational
- Brain age mediates gut microbiome dysbiosis-related cognition in older adults.Alzheimer's research & therapy · 2025Article
- Impact of diabetes on the progression of Alzheimer's disease via trajectories of amyloid-tau-neurodegeneration (ATN) biomarkers.The journal of nutrition, health & aging · 2025Article
- Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Gut microbiome predicts cognitive function and depressive symptoms in late life.Molecular psychiatry · 2024Article
- Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures.Biomedicines · 2024Article
- Brain age as a biomarker for pathological versus healthy ageing - a REMEMBER study.Alzheimer's research & therapy · 2024Article
Corrections and comments
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Authors and funding
22 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 < 0.001 for dementia]. Baseline brain age residual was predictive of future cognitive worsening even after adjusting for apolipoprotein E e4 and amyloid status [Hazard Ratio, (95% CI): 1.94 (1.33-2.81), p = 0.001 for total 336 follow-up sample; 2.31 (1.44-3.71), p = 0.001 for 284 subsample with baseline Clinical Dementia Rating ≤ 0.5; 2.40 (1.43-4.03), p = 0.001 for 240 subsample with baseline SCD or MCI]. In independent data set, these results replicate our previous findings using this model, which was able to delineate significant differences in brain age according to the diagnostic stages of dementia as well as amyloid deposition status. Brain age models may offer benefits in discriminating and tracking cognitive impairment in older adults.
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