Daniele Mascali1, Antonio Maria Chiarelli1, Ilona Lipp2,3, Anna Digiovanni4, Valentina Tomassini1,3,4, and Richard Geoffrey Wise1,3
1Institute for Advanced Biomedical Technologies,Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio University" of Chieti-Pescara, Chieti, Italy, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology, Cardiff University, Cardiff, United Kingdom, 4MS Centre, Neurology Unit, SS. Annunziata University Hospital, Chieti, Italy
Synopsis
We investigated the relationship between grey matter
perfusion and clinical and conventional MRI measures in patients with relapsing
multiple sclerosis (MS) to test the hypothesis that an impaired energy supply
is associated with the development of brain damage and clinical disability. Using
multi-inversion time pulsed ASL we demonstrated that MS patients have significantly
lower cerebral grey matter perfusion when compared to healthy controls. In the
patients, lower perfusion correlates with greater tendency to develop
irreversible tissue damage and with worse clinical scores, suggesting that altered
energy supply may directly contribute to damage and disability in MS.
Introduction
Multiple sclerosis (MS) is associated with diffuse hypo-perfusion,
i.e., reduced energy supply, in the cerebral grey matter (GM)1,2,3,
yet the contribution of this alteration to damage and disability remains
elusive. Here, we test the relationship between cerebral perfusion and clinical
and conventional MRI metrics in a single-centre, large cohort study of MS patients.
Firstly, we investigate the relationship between GM perfusion and lesional
volumes, under the hypothesis that impaired energy supply would be associated
with the development of lesions and with the brain’s tendency towards
irreversible tissue loss. Secondly, we relate GM perfusion to physical and
cognitive measures to identify clinical correlates of dysfunction in energy
supply. Methods
Right-handed
relapsing-remitting MS patients and healthy controls (HC) participated in this
study. Patients were included if clinically stable whether or not they were on
disease modifying treatment. We tested upper limb dexterity (9-hole peg test,
9HPT), walking (timed 25-foot walk, T25FW) and cognition [paced auditory serial
addition test (PASAT3s) and the symbol digit modalities test (SDMT)]. We also combined
the 9HPT, T25FW and PASAT3s into the multiple sclerosis functional composite
(MSFC) score.
The
conventional imaging protocol at 3T included T1-weighted images (FSPGR: TE/TR=3.0/7.8ms,
TI=450ms, FA=20°, resolution=1mm3) and T2-weighted images (FLAIR:
TE/TR=122.3/9502ms, TI=2250ms, FA=90°, resolution=0.86x0.86x4.5mm3) to
identify MS lesions and to co-register ASL with anatomy. T1-hypointense and T2 lesions were
semi-automatically segmented using Jim (v.6, Xinapse) on T1-weighted and
T2-weighted images4. We calculated the proportion of the volume of T2-hyperintense
lesions that appears hypointense on T1-weighted images5 (termed T1/T2
ratio).
Perfusion-weighted
data were collected with multi-inversion time pulsed ASL (PICORE QUIPSS II6,
resolution=3x3x8mm3) with 8 inversion times distributed in two
separate scans (16 tag-control pairs for TI =400/500/600/700ms, and 8
tag-control pairs for TI=1.1/1.4/1.7/2.0s). The ASL protocol included also a
proton density image (M0) for cerebral blood flow (CBF) calibration and a
minimum contrast image to correct for the coil sensitivity profile. The two
sets of ASL tag-control images were motion corrected to the M0 image (mcflirt7),
control-tag subtracted, averaged across pairs and combined into a single multi-TI
series that was fed to oxford_asl (BASIL8) for CBF quantification. Oxford_asl
was run with partial volume correction9, coil sensitivity correction
(bias field calculated via SPM12 segmentation10 on the minimum
contrast image) and calibrated with the M0 signal from subject-specific
ventricle masks. The median CBF value within GM voxels (defined via the tissue
probability map at 80% on the T1-weighted image) was considered as our aggregate
measure of global GM perfusion.
Associations
between CBF and lesion volumes, physical and cognitive measures were assessed
via Pearson’s correlation after outlier correction. Results
We
recruited 94 MS patients (67 women, 43.8±9.7y.o.) and 26 HC (15 women,
39.8±10.5y.o.). Patients showed significantly lower scores than HC for PASAT3s
(p=5.4*10-5), 9HPT (p=2.2*10-4), T25FW (p=0.009) and SDMT
(p=1.4*10-4).
There
was a significant between group difference in the levels of global GM CBF: MS
patients had lower CBF than HC (MS: 55.4±13.3ml/100g/min; HC: 67.5±10.7ml/100g/min;
p=3.8*10-5) (Figure 1).
CBF
was negatively associated with T1 hypointense lesion volume (r=-0.28, p=0.01) and
with T1/T2 ratio (r=-0.39, p=0.00017) (Figure
2), i.e., lower global GM perfusion was associated with MRI measures of
irreversible tissue damage.
There
was a significant correlation between the right 9-HPT test and global GM CBF (r=-027,
p=0.012), as well as between CBF and SDMT (r=0.29, p=0.0056) (Figure 3), i.e., lower global GM
perfusion was associated with worse hand dexterity and speed of processing. No
significant correlation was found between perfusion values and T25FW or MSFC
(p>0.05).Discussion
While
confirming the relationship between hypoperfusion and the amount of brain
lesional damage11, our results of a positive correlation between CBF
and T1/T2 ratio also suggest that altered energy supply is associated with a
greater tendency towards the development of irreversible tissue loss. The
relationship between perfusion changes in GM and tissue damage in the white
matter may reflect the functional impact of white matter lesions on tissue
dysfunction with a reduced metabolic demand at the cortical level or,
alternatively, a disease phenotype, in which an alteration of the
cerebrovascular system directly contributes to the development of damage in
both tissue compartments. A strong association was also found between global GM
perfusion and clinical measures of processing speed (SDMT) and hand dexterity. This
result supports the notion that hypo-perfusion accompanies disability in MS12
and suggests that resting CBF may be a clinically meaningful marker. Despite
the large sample size and the marked difference in CBF between patients and HC,
no strong association between perfusion and T25FW, PASAT3s and MSFC was
reported. It is possible that local changes in perfusion, as well as the
characteristics of the clinical measures and the scales used to quantify them
may have limited our ability to find significant association with global GM resting
perfusion.
The
observed hypo-perfusion in MS patients is unlikely to be an artifact of
atrophy-induced partial volume bias in estimation of the global perfusion
because of the high probabilistic threshold chosen for the inclusion of GM
voxels. Conclusion
GM hypo-perfusion in MS is strongly associated with irreversible
tissue damage and with disability, suggesting that global GM CBF may be a reliable
marker of dysfunction and an early indicator of a more severe disease course. Acknowledgements
No acknowledgement found.References
1. Brooks
DJ, Leenders KL, Head G, Marshall J, Legg NJ, Jones T. Studies on regional
cerebral oxygen utilisation and cognitive function in multiple sclerosis.
Journal of Neurology, Neurosurgery & Psychiatry. 1984 Nov 1;47(11):1182-91.
2. Debernard
L, Melzer TR, Van Stockum S, Graham C, Wheeler-Kingshott CA, Dalrymple-Alford
JC, Miller DH, Mason DF. Reduced grey matter perfusion without volume loss in
early relapsing-remitting multiple sclerosis. Journal of Neurology,
Neurosurgery & Psychiatry. 2014 May 1;85(5):544-51.
3. Lipp
I, Foster C, Stickland R, Davidson A, Wise RG, Tomassini V. Using
multi-inversion time ASL to explore gray matter perfusion in patients with
multiple sclerosis: repeatability and relationship to disease characteristics. Proc. Intl. Soc. Mag. Reson. Med. 25 (2017), 4066 (This work
used a subset of the dataset presented here).
4. Lipp
I, Jones DK, Bells S, Sgarlata E, Foster C, Stickland R, Davidson AE,
Tallantyre EC, Robertson NP, Wise RG, Tomassini V. Comparing MRI metrics to
quantify white matter microstructural damage in multiple sclerosis. Human brain
mapping. 2019 Jul;40(10):2917-32.
5. Pozzilli,
Carlo, et al. ‘Gender gap’ in multiple sclerosis: magnetic resonance imaging
evidence. European journal of neurology, 2003, 10.1: 95-97.
6. Wong
EC, Buxton RB, Frank LR. Quantitative imaging of perfusion using a single
subtraction (QUIPSS and QUIPSS II). Magn Reson Med. 1998;39(5):702–8.
7. Jenkinson
M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage. 2012 Aug
15;62(2):782-90.
8. Chappell
MA, Groves AR, Whitcher B, Woolrich MW. Variational Bayesian inference for a
non-linear forward model. IEEE Transactions on Signal Processing 57(1):223-236,
2009.
9. Chappell
MA, MacIntosh BJ,
Donahue MJ,Jezzard P, Woolrich MW. Partial volume correction of multiple
inversion time arterial spin labeling MRI data, Magn Reson Med,
65(4):1173-1183, 2011.
10. Ashburner
J, Friston KJ. Unified segmentation. Neuroimage. 2005 Jul 1;26(3):839-51.
11. Amann
M, Achtnichts L, Hirsch JG, Naegelin Y, Gregori J, Weier K, Thöni A,
Mueller-Lenke N, Radue EW, Günther M, Kappos L. 3D GRASE arterial spin labelling
reveals an inverse correlation of cortical perfusion with the white matter
lesion volume in MS. Multiple Sclerosis Journal. 2012 Nov;18(11):1570-6.
12. Hojjat
SP, Cantrell CG, Carroll TJ, Vitorino R, Feinstein A, Zhang L, Symons SP,
Morrow SA, Lee L, O’Connor P, Aviv RI. Perfusion reduction in the absence of
structural differences in cognitively impaired versus unimpaired RRMS patients.
Multiple Sclerosis Journal. 2016 Nov;22(13):1685-94.