https://scholars.lib.ntu.edu.tw/handle/123456789/632653
標題: | Validation of neuroimaging-based brain age gap as a mediator between modifiable risk factors and cognition | 作者: | Chen, Chang-Le MING-CHE KUO Chen, Pin-Yu Tung, Yu-Hung Hsu, Yung-Chin Huang, Chi-Wen Christina Chan, Wing P Tseng, Wen-Yih Isaac |
關鍵字: | Brain age gap; Cognitive aging; Machine learning; Mediation; Modifiable risk factor; Neuroimaging | 公開日期: | 六月-2022 | 出版社: | ELSEVIER SCIENCE INC | 卷: | 114 | 起(迄)頁: | 61 | 來源出版物: | Neurobiology of aging | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/632653 | ISSN: | 0197-4580 | DOI: | 10.1016/j.neurobiolaging.2022.03.006 |
顯示於: | 醫學系 |
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