Abstract 4361963: 4D Flow MRI Evaluation of Cardiovascular Risk-Related Alterations in Heart-Brain Hemodynamics in Cognitively Healthy Aging Adults

A Anahita Najafi A Adam Richter (Northwestern University, Chicago, Illinois, United States) A Anna Lytchakov (Northwestern University, Chicago, Illinois, United States) T Theresa Benson (Northwestern University, Chicago, Illinois, United States) N Ning Jin R Rachel Davids (Siemens Medical Solutions USA, Inc., Chicago, Illinois, United States) S Susanne Schnell (University of Greifswald, Greifswald, Germany) A Ann Ragin (Northwestern University, Chicago, Illinois, United States) S Sandra Weintraub E Emily Rogalski (The University of Chicago, Chicago, Illinois, United States) K Kelly Jarvis (Northwestern University, Chicago, Illinois, United States)

Abstract

Background: Cardiovascular (CV) risk factors such as hypertension have been linked to accelerated cognitive decline with aging but underlying hemodynamic mechanisms are unclear. Aortic stiffening, quantified by pulse wave velocity (PWV), may contribute to microvascular injury by elevating transmitted pulsatility and triggering vascular adaptations that limit blood flow. Using a novel single-session 4D flow MRI protocol we assessed heart-brain hemodynamics in cognitively asymptomatic adults with and without hypertension. Hypotheses: Age, higher CV disease (CVD) risk, and aortic PWV are associated with amplified intracranial pulsatility and reduced flow/velocity. Methods: Data have been collected in 24 cognitively asymptomatic adults (62.3±7.4 years; 7 males; 8 hypertensive; Telephone-MoCA≥17). CVD risk was determined using the simplified Framingham model, and physical activity was assessed by self-report. CV and intracranial 4D flow research sequences were acquired at 3T (Prisma, Siemens). Preprocessing and segmentation of aorta and Circle of Willis (CoW) were applied. Mean and peak velocity (Vmean, Vmax; m/s), and time-to-peak (TTP; ms) were quantified voxel-wise. Flow (ml/s), pulsatility index (PI), and aortic PWV were quantified as detailed in Fig 1. PWV was inverse transformed (PWV.T; ms/m). Results: Hypertensive participants were older (69.1±7.4 vs 58.9±4.5 years, p<0.01), had higher CoW PI (1.16±0.28 vs 0.99±0.09, p=0.04), and lower CoW Vmax (0.71±0.06 vs 0.79±0.09 m/s, p=0.03) than controls. CVD risk score was associated with higher PI and lower velocities in the CoW (Fig 2). Higher physical activity was associated with higher CoW Vmean, Vmax, and flow (rho=0.47-0.48; p=0.02-0.03) and lower PI (rho=-0.43, p=0.04). Inverse relationships were found for: CoW Vmax with aortic PWV.T (r=-0.46, p=0.03), and CoW PI with TTP in both regions (r aorta =-0.43, p=0.04; r CoW =-0.45; p=0.03). CoW and aortic TTP showed moderate correlation (r=0.41, p=0.04; Fig 3). Conclusion: Preliminary results show correlations between heart and brain hemodynamic measures. Hypertension and CVD risk were related to adverse CoW hemodynamics, while physical activity showed favorable associations. Aortic PWV was related to lower intracranial peak velocity, suggesting a possible downstream effect. Expected association between aortic PWV and CoW PI was not observed. Findings highlight the complexity of heart-brain hemodynamics and support ongoing recruitment for stratified age-matched analysis.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (11)

A

Anahita Najafi

A

Adam Richter

Northwestern University, Chicago, Illinois, United States

A

Anna Lytchakov

Northwestern University, Chicago, Illinois, United States

T

Theresa Benson

Northwestern University, Chicago, Illinois, United States

N

Ning Jin

R

Rachel Davids

Siemens Medical Solutions USA, Inc., Chicago, Illinois, United States

S

Susanne Schnell

University of Greifswald, Greifswald, Germany

A

Ann Ragin

Northwestern University, Chicago, Illinois, United States

S

Sandra Weintraub

E

Emily Rogalski

The University of Chicago, Chicago, Illinois, United States

K

Kelly Jarvis

Northwestern University, Chicago, Illinois, United States