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Validation of neuroimaging-based brain age gap as a mediator between modifiable risk factors and cognition.

Authors :
Chen, Chang-Le
Kuo, Ming-Che
Chen, Pin-Yu
Tung, Yu-Hung
Hsu, Yung-Chin
Huang, Chi-Wen Christina
Chan, Wing P.
Tseng, Wen-Yih Isaac
Source :
Neurobiology of Aging. Jun2022, Vol. 114, p61-72. 12p.
Publication Year :
2022

Abstract

• Modifiable risk factor is associated with imaging-based brain age gap (BAG). • BAG measures can reflect cognitive changes in normal cognitive aging. • Multimodal BAG mediates between modifiable risk factor and cognition. • Multimodal BAG is related to greater cognitive changes under higher risk exposure. Neuroimaging-based brain age gap (BAG) is presumably a mediator linking modifiable risk factors to cognitive changes, but this has not been verified yet. To address this hypothesis, modality-specific brain age models were constructed and applied to a population-based cohort (N = 326) to estimate their BAG. Structural equation modeling was employed to investigate the mediation effect of BAG between modifiable risk factors (assessed by 2 cardiovascular risk scores) and cognitive functioning (examined by 4 cognitive assessments). The association between higher burden of modifiable risk factors and poorer cognitive functioning can be significantly mediated by a larger BAG (multimodal: p = 0.014, 40.8% mediation proportion; white matter-based: p = 0.023, 15.7% mediation proportion), which indicated an older brain. Subgroup analysis further revealed a steeper slope (p = 0.019) of association between cognitive functioning and multimodal BAG in the group of higher modifiable risks. The results confirm that BAG can serve as a mediating indicator linking risk loadings to cognitive functioning, implicating its potential in the management of cognitive aging and dementia. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01974580
Volume :
114
Database :
Academic Search Index
Journal :
Neurobiology of Aging
Publication Type :
Academic Journal
Accession number :
156552564
Full Text :
https://doi.org/10.1016/j.neurobiolaging.2022.03.006