Meher R Juttukonda1,2, Kimberly A Stephens1, Yi-Fen Yen1,2, Casey M Howard1, Jonathan R Polimeni1,2, Bruce R Rosen1,2, and David H Salat1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States
Synopsis
Hypoperfusion
is frequently considered a cause of age-related white matter lesions (WML). However,
reductions in oxygen availability to brain tissue may also be caused by
impaired oxygen extraction fraction (OEF). Here, we tested the hypothesis that
venous hyperintense signal (VHS) in arterial spin labeling (ASL) MRI is
indicative of impaired OEF in typically aging older adults. In participants
aged 60–80 years (n=40), we measured VHS with ASL and maximum OEF (OEFmax)
with dynamic susceptibility contrast MRI. Lower OEFmax was uniquely associated
with higher WML volume in participants with VHS, indicating a potentially
distinct cerebrovascular aging pattern in these individuals.
Introduction
The presence of cerebral white matter lesions (WML)
has been linked to declining cognitive function in typical aging as well as in
patients with Alzheimer’s disease.1-7 While
the etiology of these lesions is presumed to be vascular in nature,8,9
microvascular hemodynamic mechanisms underlying these lesions remain
incompletely understood. Tissue hypoperfusion is frequently considered a cause
of WML, but reductions in oxygen availability to the brain could also be caused
by impairment in oxygen exchange efficiency. Recently, venous hyperintense
signal (VHS) in arterial spin labeling (ASL) MRI has been characterized as a
marker of capillary shunting and reduced OEF in young adults.10,11 VHS
in perfusion-weighted ASL is thought to arise from reduced capillary transit
times that allow labeled arterial blood to traverse the microvasculature
without properly exchanging with tissue. Here, we tested the hypothesis that
VHS in ASL MRI may also represent a general marker of impaired oxygen
extraction in typically aging older adults.Methods
Participants. Older adult
volunteers (60–80 years of age) were recruited as part of an IRB-approved
study. Exclusion criteria included major neurological or psychiatric disorders,
including vascular dementia or clinical stroke, as well other substantial
systemic illnesses likely to confound the study.
Data acquisition. Participants underwent two imaging sessions: non-contrast MRI at 3T (Siemens
Biograph mMR) and contrast-enhanced MRI at 7T (Siemens Magnetom). T1-weighted
MRI was acquired at 3T using a multi-echo MPRAGE sequence (TR=2530 ms; TI=1100
ms; TE=1.69 ms, 3.55 ms, 5.41 ms, and 7.27 ms; flip angle=7°; and spatial
resolution=1.0×1.0×1.0 mm3). ASL MRI was acquired at 3T with
pseudo-continuous labeling (total labeling duration=1500 ms and post-labeling
delay=1200 ms) and without background or vascular suppression using a 2D EPI
readout (slice thickness=5.0 mm; TR=4000 ms; TE=12 ms; matrix size=64×64;
slices=22; field of view = 220×220 mm2; control/label pairs=40). Dynamic
susceptibility contrast (DSC) MRI was acquired at 7T with gadolinium contrast
and a 2D single-shot EPI readout (TR=1500 ms, TE=22 ms, flip angle=75°,
slices=58, spatial resolution=1.5×1.5×1.5 mm3, nominal echo
spacing=0.69 ms, GRAPPA=3, multiband=2, frames=100).
Data processing. T1-weighted
images were processed to reconstruct cortical surfaces and to segment volume regions-of-interest,
including gray matter and WML volume, using the Freesurfer ‘recon-all’
procedure. ASL images from each participant were pre-processed and quantified
into CBF using a two-compartment kinetic model.12 CBF images from each participant were also qualitatively assessed for the
presence (VHS+) or absence (VHS−) of labeled blood inside of large draining
veins, including the superior sagittal sinus, inferior sagittal sinus, and
straight sinus, according to a previously established procedure (Figure 1).10 DSC-MRI data were processed using the Penguin/pgui
software to convert the T2* signal time curves of each voxel to
contrast concentration time curves13 and used in a vascular model developed by
Ostergaard et al13-15 to derive images of maximum oxygen extraction fraction (OEFmax).
Average CBF and OEFmax values in global gray matter were extracted for
each participant using FreeSurfer segmentations.Results
Demographics. Overall, VHS was present in 42.5% of participants
(17/40). Participants with VHS (median age=70 years) were older than those
without VHS (median age=64 years; p<0.01), and there were no sex differences
in the groups with VHS (47% male) and without VHS (57% male; p=0.55).
Cerebrovascular physiology. Older age was
correlated with decreasing gray matter CBF (ρ=−0.32; p=0.05), and there was no interaction between age and VHS
presence when examining the association with CBF (Figure 2A; p=0.81).
There was no relationship between OEFmax and age in all participants
(ρ=0.25; p=0.18), but there was a significant interaction between
age and VHS presence (p<0.01). More specifically, older age is associated
with higher OEFmax in participants without VHS, while older age is
associated with lower OEFmax in participants with VHS (Figure 2B).
White matter lesions. WML volume was inversely correlated with CBF (ρ=−0.39; p=0.01), but there was no interaction between CBF and VHS presence
for the association with WML volume (p=0.15; Figure 3A). There
was no relationship between OEFmax and WML volume (ρ=−0.001; p=0.99) overall, but there was a significant interaction
between OEFmax and VHS status (p=0.02). More specifically,
lower OEFmax was associated with higher WML volume in participants
with VHS, while higher OEFmax was associated with higher WML volume
in participants without VHS (Figure 3B).Discussion
We characterized a
novel imaging marker of oxygen extraction inefficiency and its relationship
with age, cerebral hemodynamic physiology, and white matter lesion burden in a
cohort of older adults between 60–80 years of age. We observed that venous ASL
signal indicative of capillary shunting was prevalent in 42% of older adults,
and participants with VHS were older (median age=70 years) compared to
participants without VHS (median age=64 years). While associated with lower CBF
in both groups, the relationship between age and OEFmax was
dependent on VHS presence, with lower OEFmax corresponding to older
age when VHS was present. Finally, individuals with VHS exhibited greater WML
burden, and higher WML volumes were correlated with both lower CBF and lower
OEFmax in participants with VHS but not in those without VHS. These
results indicate that the presence of VHS on perfusion-weighted ASL data could
serve as a marker of a distinct cerebrovascular aging pattern that involves
physiological mechanisms including oxygen extraction inefficiency in addition
to hypoperfusion.Acknowledgements
This work was supported by the National
Institutes of Health (R01NR010827) and the American Heart Association (19CDA34790002).References
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