Associations of Brain Structure and Neuropsychological Function With Artificial Intelligence Estimates of Biological Vascular Age.

Authors

Leroy L Cooper, Ayantika Banerjee, Alexa S Beiser, Sokratis Charisis, David J Hamel-Sellman, Timothy J Korzinski, Emelia J Benjamin, Naomi M Hamburg, Ramachandran S Vasan, Sudha Seshadri, Gary F Mitchell

Published in

Arteriosclerosis, thrombosis, and vascular biology. Sep 24, 2026. Epub Sep 24, 2026.

Abstract

Accelerated vascular aging, assessed as artificial intelligence-based vascular age (AIVA), is associated with small vessel disease that may impact brain structure and neuropsychological function.
In a cross-section of Framingham Heart Study participants, AIVA was estimated using a validated convolutional neural network trained to predict carotid-femoral pulse wave velocity from a normalized pressure waveform. Brain structure was assessed using magnetic resonance imaging with diffusion tensor imaging, and neuropsychological function was assessed using a standardized test battery. Analyses included magnetic resonance imaging (N=2313) and neuropsychological (N=3001) samples. We used multivariable linear and logistic regression to relate AIVA to brain structural and neuropsychological functional measures.
The mean±SD age across participants was 62±11 years; 56% were women. In multivariable models, higher AIVA was associated with worse markers of cerebral small vessel disease (mean white matter free water: β [per SD], 0.09 [95% CI, 0.04-0.14]; P<0.001; peak width of skeletonized mean diffusivity: β, 0.05 [95% CI, 0.00-0.10]; P=0.045; white matter hyperintensity volume: β, 0.08 [95% CI, 0.03-0.12]; P<0.001) and higher odds of cerebrovascular injury (presence of extensive white matter hyperintensities: odds ratio [per SD], 1.22 [95% CI, 1.02-1.47]; P=0.03; presence of brain infarcts: odds ratio, 1.44 [95% CI, 1.02-2.04]; P=0.04). In addition, higher AIVA was associated with worse performance on Trails B-A (β, -0.05 [95% CI, -0.10 to -0.01]; P=0.03), similarities (β, -0.06 [95% CI, -0.11 to -0.01]; P=0.02), and global cognition (β, -0.07 [95% CI, -0.12 to -0.03]; P=0.002) and higher odds of prevalent depressive symptoms (odds ratio, 1.24 [95% CI, 1.08-1.41]; P=0.002) and high Center for Epidemiologic Studies Depression Scale score (odds ratio, 1.20 [95% CI, 1.00-1.44]; P=0.047). Vascular brain injury markers partially mediated the associations of AIVA with global cognition score and presence of depressive symptoms.
Peripheral pressure waveform AIVA may be a novel, noninvasive indicator of subclinical vascular brain injury and neuropsychological function.

PMID:
42779540
Bibliographic data and abstract were imported from PubMed on 24 Sep 2026.

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