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DOI 10.1161/atvbaha.126.325247

Медицинская библиотека · Arteriosclerosis, thrombosis, and vascular biology · 2026

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

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

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Аннотация

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.

Для цитирования: Cooper Leroy L, Banerjee Ayantika, Beiser Alexa S, Charisis Sokratis, Hamel-Sellman David J, Korzinski Timothy J, Benjamin Emelia J, Hamburg Naomi M, Vasan Ramachandran S, Seshadri Sudha, Mitchell Gary F. Associations of Brain Structure and Neuropsychological Function With Artificial Intelligence Estimates of Biological Vascular Age.. Arteriosclerosis, thrombosis, and vascular biology. 2026. DOI: 10.1161/atvbaha.126.325247.
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