Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study.

ABSTRACT: Brain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific brain age in the Whitehall II (WHII) MRI cohort using machine learning and imaging-derived measures of gray matter (GM) morphology, white matter microstructure (WM), and resting state functional connectivity (FC). The results showed that the prediction accuracy improved when multiple imaging modalities were included in the model (R² = 0.30, 95% CI [0.24, 0.36]). The modality-specific GM and WM models showed similar performance (R² = 0.22 [0.16, 0.27] and R² = 0.24 [0.18, 0.30], respectively), while the FC model showed the lowest prediction accuracy (R² = 0.002 [-0.005, 0.0

SUBMITTER: de Lange AG 

PROVIDER: S-EPMC8121758 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature