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Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes
Journal article   Open access   Peer reviewed

Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes

Kseniia Konopkina, Irina Buianova, Farzane Lal Khakpoor, Sunthud Pornprasertmanit, Micaela Chan and Narun Pat
GeroScience
04/08/2026
Handle:
https://hdl.handle.net/10523/52085

Abstract

Neuroimaging Aging Longitudinal Cognitive functioning Machine learning
Brain MRI shows promise for predicting cognitive functioning, but its utility depends on its capacity to capture stable between-person differences (e.g., patient stratification), longitudinal within-person changes (e.g., prognosis, treatment monitoring), or both. Using longitudinal data from 450 adults (aged 21–90; up to three waves, five years apart) in the Dallas Lifespan Brain Study, we benchmarked five modalities, task fMRI, functional connectivity (FC), structural MRI (sMRI), diffusion-weighted imaging (DWI), and arterial spin labeling (ASL), across 37 phenotypes and their combination. Stacking all MRI modalities into one marker predicted cognitive functioning with the highest accuracy (R2 = .51), followed by DWI and FC. Variance decomposition showed MRI markers explained substantial between-person variance (up to 60.3%) but modest within-person changes (up to 17.2%) in cognitive functioning. Commonality analysis revealed most markers, except ASL, overlapped with age-related variance in cognitive functioning. These findings clarify the strengths and limitations of MRI markers for stratifying and monitoring cognitive aging.
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s11357-026-02441-214.57 MBDownloadView
Published (Version of record) Open Access CC BY V4.0
url
https://doi.org/10.1007/s11357-026-02441-2View
Published (Version of record) Open CC BY V4.0

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