Kelly Jarvis1, Jackson E Moore1, Maria Aristova1, Ning Jin2, Valerie Torres1, Susanne Schnell1,3, Eric Russell1, Michael Markl1, Emily Rogalski4, and Ann Ragin1
1Radiology, Northwestern University, Chicago, IL, United States, 2Siemens Medical Solutions Inc., Cleveland, OH, United States, 3Medical Physics, University of Greifswald, Greifswald, Germany, 4Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
Synopsis
Mechanisms underlying heart-brain hemodynamic
coupling and effects on the brain remain unclear due to challenges of measuring
both heart and brain in a single MRI exam. We have developed a comprehensive
MRI protocol that incorporates 1) 4D flow MRI of chest, 2) 4D flow MRI of head
and 3) structural neuroimaging into one MRI exam to assess cardiovascular and
cerebrovascular flow as well as white matter lesions and brain atrophy. This study
demonstrates the utility of heart-brain MRI as viable new tool for in vivo evaluation
of hemodynamic coupling along the entire heart-brain pathway.
INTRODUCTION
Increased
aortic pulse wave velocity (PWV) has been linked with white matter hyperintensities,
brain atrophy and dementia risk in aging adults (1-3). However,
mechanisms underlying heart-brain hemodynamic coupling and effects on the brain
remain unclear due to challenges of measuring both heart and brain in a single
MRI exam. 4D flow MRI is uniquely poised to systematically
interrogate complex blood flow patterns along the heart-brain pathway. This
technique is state-of-the-art for measuring hemodynamics in chest and head (4) and has detected increased aortic PWV with age (5-7). However,
images of heart and brain are not typically acquired in the same MRI exam. Owing
to advancements in imaging acceleration, 4D flow MRI can be acquired in approximately
7 minutes (heart) and 10 minutes (brain) supporting feasibility of concurrent heart-brain
evaluation in a single exam. We have developed a
comprehensive MRI protocol that incorporates 1) 4D flow MRI of chest, 2) 4D
flow MRI of head and 3) structural neuroimaging into one MRI exam to evaluate cardiovascular
and cerebrovascular flow as well as white matter lesions and brain atrophy. This
study assessed the utility of this approach for evaluating age-related changes
in heart-brain flow measures and relation to brain status in a small sample of healthy
adults.METHODS
Heart-brain
MRI was acquired in 8 healthy participants (5 females, age=50+/20 [24-72] years
[3 young adults <45 years, 2 midlife 45-65 years, 3 later life >65 years])
at 3T (MAGNETOM Prisma, Siemens Healthcare, Erlangen, Germany). Exam included the
prototype free-breathing whole heart 4D flow MRI (venc=120 cm/s, compressed
sensing R=10.2), intracranial dual-venc 4D flow MRI (venc=50 cm/s and 100 cm/s,
k-t GRAPPA R=5) and structural neuroimaging (T1-MPRAGE, T2W, high resolution
hippocampal T2W, T2-FLAIR, TOF MRA) (Figure
1, Table 1). Participants
were screened for history of cardio- and cerebrovascular problems that may
influence blood flow. Exclusion criteria: BMI>40, blood pressure>160/90
mmHg, heart or brain surgery, stroke, brain injury, seizures, coma, diabetes,
cancer, liver or kidney disease, arrhythmia, regular smoking, or drug abuse.
Blood pressure was recorded 3 times before and 3 times after scan and averaged.
Imaging workflow is shown in Figure 2. Whole
heart 4D flow MRI was analyzed using a previously established workflow (5). Briefly,
4D flow MRI data was preprocessed including calculation of time-averaged 3D
phase contrast angiogram (PC-MRA). Aorta was segmented from PC-MRA and PWV was evaluated
using cross-correlation algorithm with repeated approach. Intracranial 4D flow MRI
was analyzed using a previously established workflow (8,9). Briefly,
PC-MRA was used to segment vessels of interest including the basilar artery
(BA), left and right intracranial arteries (LICA, RICA) and left and right
middle cerebral arteries (LMCA, RMCA). Analysis planes were automatically
placed every 1 mm. For each vessel, pulsatility index (PI) and resistive index
(RI) were determined for each analysis plane and median gave final value. Results
for bilateral vessels were averaged. Structural neuroimaging data was reviewed
by an expert neuroradiologist (ER) for brain atrophy (T1-MPRAGE, T2W),
hippocampal atrophy (high resolution hippocampal T2W), white matter lesions
(T2-FLAIR) and narrowed arteries (TOF).RESULTS
Increasing
aortic PWV was significantly correlated with age (r=0.71, p=0.048) (n=8) (Figure 3). Increasing ICA PI (r=0.91, p=0.032)
and ICA RI (r=0.91, p= 0.034) were highly correlated with
age in midlife and later life participants (n=5). White matter hyperintensities
were rated clinically mild in 4 of the 8 participants (1 young, 1 midlife and 2
later life participants) (Figure
4, Table 2); all were subclinical mild
punctate foci (<2 mm diameter) with no confluence. There were no neuroradiological
findings of brain atrophy in gray matter or white matter overall or in hippocampus;
ventricular dilation, where present, was considered acceptable for participant
age. There were no neuroradiological findings for narrowed arteries. Increased
systolic blood pressure (SBP) and pulse pressure (PP) correlated with higher
number of white matter lesions (SBP: r=0.75, p=0.034, PP: r=0.80, p=0.018).DISCUSSION
This study supports the feasibility of acquiring heart-brain
MRI data in a single exam for the comprehensive analysis of heart-brain coupling.
This approach enabled systematic evaluation of aging along the heart-brain
pathway. Aortic PWV increased across the adult lifespan confirming previous
results (5-7).
Cerebrovascular pulsatility in internal carotids was highly correlated with
aging in midlife to later life adults. Also, increased blood pressure was related
to number of white matter hyperintenstities as shown in other studies, e.g. (10).
White matter lesions, considered a marker of small vessel disease, are common findings
on T2-FLAIR and often found in healthy individuals. Taken together, this
supports the utility of this approach for investigating heart-brain hemodynamic
coupling in clinically silent periods of the adult lifespan to inform an
understanding of factors influencing neurological outcome in older age.CONCLUSION
This study demonstrates heart-brain MRI as a promising
new tool for evaluation of hemodynamic coupling along the entire heart-brain
pathway. This approach provides new capabilities for studying age-related
changes by capturing in vivo measures of 4D flow MRI-derived aortic PWV,
4D-flow MRI-derived cerebrovascular pulsatility and T2-FLAIR assessment of white
matter lesions in one MRI exam. Future study in larger cohorts, including
individuals with cardiovascular risk factors is warranted.Acknowledgements
Grant support by Funding Sources: NIH NIA
T32AG020506, P30AG072977; NINDS R21NS122511References
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