James Michael Gee1, Xiuyuan Wang2, Siddhant Dogra1, Jelle Veraart1, Koto Ishida3, Deqiang Qiu4, and Seena Dehkharghani1,3
1Radiology, New York University, New York, NY, United States, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Neurology, New York University, New York, NY, United States, 4Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States
Synopsis
Keywords: White Matter, fMRI (resting state), Cerebrovascular reactivity
We explored cerebrovascular reactivity (CVR) of white matter in
patients with evidence for micro- and macrovascular disease using our
previously described Blood Oxygen Level Dependent – acetazolamide
paradigm. Subjects consistently demonstrated lower CVR in voxels with
microangiopathic white matter when present in hemispheres with coexistent
proximal, large-vessel steno-occlusive disease (SOD). The
relationship of CVR values in normal appearing white matter and
contralateral white matter lesions in patients with unilateral SOD is
more complex and warrants further investigation.
INTRODUCTION
Cerebrovascular reactivity (CVR) describes the adaptive capacity of
the cerebral circulation to respond to declining perfusion pressures
and neurovascular demand following hemodynamic provocation. CVR is
heterogeneous and varies across tissues and pathological states1,2.
White matter CVR is not well-understood and only sparsely studied3–5.
Blood Oxygen Level Dependent (BOLD) signal following hemodynamic
stimulus with acetazolamide (ACZ) may be used to measure CVR6,7.
Herein, we studied CVR differences between microangiopathic white
matter lesions and normal-appearing white matter (NAWM) in patients
with chronic steno-occlusive disease (SOD) to quantify the interplay
of angiographically-evident macrovascular stenoses and parenchymal
indicators of systemic microvascular disease, hypothesizing additive
effects at the intersection of the two as studied by fully dynamic
maximal CVR (CVRmax) as recently reported8–11.METHODS
17 patients (11 unilateral, 3 bilateral with unilateral-predominant,
and 3 bilateral) with angiographically-proven SOD were studied using
our previously described dynamic BOLD-ACZ paradigm6.
Briefly, 3-5 minutes of resting-state BOLD were followed, without
interruption, by slow IV infusion (1g/3-4 minutes) of ACZ. BOLDpre
and BOLDpost were defined as the average of
the first and last minutes of the BOLD time-signal course (TSC),
respectively. Conventional measures of terminal CVR at the exam
conclusion (CVRend, i.e.
%CVR=100*(BOLDpost–BOLDpre)/BOLDpre)
and maximal CVR (CVRmax, i.e. maximal CVR
per-voxel, per-TR, across the TSC) were computed from denoised BOLD
data as previously reported8-11.
White matter masks
were generated from T1-weighted MPRAGE images with Freesurfer (version 7.1.1, Massachusetts General
Hospital, MA)12. White matter lesion masks were generated manually in 3D Slicer13
via selection of discrete hyperintense lesions on FLAIR images, and
NAWM masks were generated by subtraction of the two (Figure 1). Masks
were applied to CVRmax and CVRend
images with custom MATLAB scripts (version R2022b, The MathWorks,
Natick, MA). Voxel-wise CVRmax and CVRend
were calculated for NAWM and white matter lesions (Figure 2). In
patients with unilateral disease or unilateral-predominant disease,
four white matter subgroups were analyzed including: i. diseased
hemisphere NAWM; ii. non-diseased hemisphere NAWM; iii. diseased
hemisphere white matter lesions; and iv. non-diseased hemisphere
white matter lesions. In patients with unilateral or
unilateral-predominant disease, the diseased or most-diseased
hemisphere is referred to as ipsilateral hemispheres and the opposite
as contralateral. Statistical relationships between the four white
matter groups within each subject were evaluated with a
Kruskal-Wallis test with Bonferroni-corrected multiple comparisons in
MATLAB. Statistical significance was set at 0.01.RESULTS
In patients with unilateral or unilateral-predominant hemispheric
disease, 11/14 demonstrated the lowest CVRmax
and CVRend values within the ipsilateral
hemisphere white matter lesions, suggesting additive effects of
microvascular and macrovascular disease. Two, among the discordant
cases, exhibited only sporadic and small lesions affecting fidelity
of lesion segmentation.
In 7/14 subjects,
the highest CVR values were observed within NAWM of the contralateral
hemisphere, where neither evidence for macrovascular or microvascular
injury was apparent. In 8/14 subjects, CVRmax
and CVRend within the NAWM of the
contralateral hemisphere was higher than the NAWM in the diseased
hemisphere. In 11/14 subjects, the contralateral hemispheric white
matter lesions demonstrated higher CVR than ipsilateral white matter
lesions. Ipsilateral NAWM CVRmax and CVRend
was lower than contralateral white matter lesions in 7/14 subjects.
Among the three
patients with bilateral disease, two exhibited the lowest CVR
values in white matter lesions of a given hemisphere; however, the
lesional extent did not correlate with hemispheric CVR.DISCUSSION
In this study, we describe the relationship between white matter CVR
and the presence of macro- or microvascular indicators of disease.
Subjects in this dataset consistently demonstrated lower CVR in
voxels with microangiopathic disease when present in hemispheres with
coexistent proximal, large-vessel SOD. Microangiopathic white matter
in hemispheres with SOD consistently harbored the most abnormal
voxels as defined by low-rank ordering of CVR values, corresponding to
the microvascular disease in the ipsilateral (i.e. SOD) hemisphere,
as expected. The relationship of CVR values in NAWM and contralateral
white matter lesions is more complex and warrants further investigation.
Further work will attempt to delineate the contributions of
microvascular and macrovascular disease to CVR and whether
segmentation of microangiopathic disease is required during CVR
analysis.Acknowledgements
No acknowledgement found.References
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