DOI: 10.1161/atvbaha.126.325247 ISSN: 1079-5642

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

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
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BACKGROUND:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

Peripheral pressure waveform AIVA may be a novel, noninvasive indicator of subclinical vascular brain injury and neuropsychological function.

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