Mona ElSheikh1, Arvin Arani1, Avital Perry2, Nealey Cray2, Fredric Meyer2, David Lake1, Armando Manduca3, Kevin Glaser1, Richard L Ehman1, and John Huston1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Neurosurgery, Mayo Clinic, Rochester, MN, United States, 3Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
Synopsis
The development of advanced MRI techniques has enabled noninvasive evaluation of subtle changes of brain architecture in dementia. We report a specific pattern of regional brain stiffness changes using Magnetic Resonance Elastography (MRE) in three different dementia groups: Alzheimer’s disease, frontotemporal dementia, and normal pressure hydrocephalus. MRE offers a potential biomarker to characterize the viscoelastic properties of the brain in dementia patients, and may have a role in the diagnosis and differentiation between common subtypes of dementia.
Purpose
Dementia is caused by a multitude of neurological
disorders. Among the most common are Alzheimer’s disease (AD), frontotemporal
dementia (FTD) and normal pressure hydrocephalus (NPH). Multiple overlapping
signs and symptoms between the different types of cognitive impairment create
diagnostic challenges, and thus, it can be difficult to correctly diagnose the
cause of dementia. Therefore, there is a pressing need to identify biomarkers
that can accurately differentiate between dementia subtypes. This is important
for appropriate patient therapy and clinical trial inclusion
(1). Magnetic Resonance Elastography (MRE) is a
noninvasive technique capable of
quantitatively measuring tissue stiffness in
vivo. Previous studies have investigated the role of brain MRE in AD
(2, 3), FTD
(4) and NPH
(5, 6). The purpose of this study was to report on age
and sex bias -corrected brain MRE findings across three dementia cohorts (AD,
FTD, and NPH) and to investigate the potential diagnostic role of MRE to help
differentiate between dementia subgroups.
Methods
MRE was performed on 20 NPH patients (age range: 60-86 years), 8 AD patients (78-87 years), 5 FTD patients (54-65 years), and 46 cognitively normal volunteers as controls (56-89 years). Image acquisition was conducted on a 3 Tesla MRI scanner (GE Healthcare, Waukesha, WI). Shear waves with 60 Hz vibration frequency were transmitted into the brain by a pillow-like passive driver. A post-processing technique
(7) was implemented to determine the median magnitude of the complex shear modulus (|G*|) across different brain regions. Eight regions of interest (ROIs) were examined: cerebrum (entire brain excluding cerebellum), frontal, occipital, parietal, and temporal lobes, deep grey matter/white matter (GM/WM), sensorimotor cortex and cerebellum. All stiffness measurements were age and sex -corrected using a general linear model with the parameters reported in Table 1 as previously described
(8), with stiffness being defined as |G*| rather than the square of the shear wave speed. The |G*| of each region was compared between dementia subgroups and normal controls using a two-population unpaired t-test for statistical analysis and p<0.05 was considered significant.
Results
The
cerebrum of AD and FTD patients
showed significant decreases in |G*| compared to cognitively normal controls
(p<0.001), while NPH patients showed increased cerebral stiffness that did
not reach statistical significance. The NPH group showed significant stiffening
of the parietal (p=0.001), occipital and sensorimotor regions (p<0.001), in contrast to softening or no
significant stiffness changes in the AD and FTD groups. The temporal lobe in FTD patients showed
exclusive significant softening (p=0.003). The frontal lobe and deep grey
matter/white matter stiffness values of all three groups (AD, FTD
and NPH) were significantly decreased compared to normal controls, and no
significant stiffness changes were observed in the cerebellum in any of the groups. A summary of the results is shown
in Table 2.
Discussion
This study demonstrated that AD stiffness
changes occurred mostly in the frontal, parietal and temporal lobes in
accordance with the known topography of AD pathology. FTD regional differences
also occurred most prominently in areas of expected anatomic involvement (the
frontal and temporal lobes). NPH, on the other hand, showed increased stiffness
of the occipital and parietal lobes, as well as the sensorimotor cortex,
possibly due to the low compliance and parenchymal compression of these regions
by the enlarged ventricles against the calvarium. (Figures 1, 2)
Conclusion
Distinct
patterns of regional brain stiffness changes are observed in each of the
different dementia groups. MRE offers a potential biomarker to characterize the
viscoelastic properties of the brain in dementia patients, and may have a role
in the diagnosis and differentiation between common subtypes of dementia.
Acknowledgements
This research was supported by Theodore W. Batterman Family Foundation and R01 grants EB001981.References
1. Suri S, Topiwala A, Mackay CE, Ebmeier KP, Filippini N. Using structural and diffusion magnetic resonance imaging to differentiate the dementias. Curr Neurol Neurosci Rep. 2014 Sep;14(9):475.
2. Murphy MC, Huston J, 3rd, Jack CR, Jr., Glaser KJ, Manduca A, Felmlee JP, et al. Decreased brain stiffness in Alzheimer's disease determined by magnetic resonance elastography. J Magn Reson Imaging. 2011 Sep;34(3):494-8.
3. Murphy MC, Huston J, 3rd, Jack CR, Jr., Glaser KJ, Jones DT, Senjem ML, et al. Regional brain stiffness changes across the Alzheimer's disease spectrum. Proc Intl Soc Mag Reson Med 21 2013.
4. Huston J, 3rd, Murphy MC, Boeve BF, Fattahi N, Arani A, Glaser KJ, et al. Magnetic resonance elastography of frontotemporal dementia. J Magn Reson Imaging. 2015 Jun 30.
5. Streitberger KJ, Wiener E, Hoffmann J, Freimann FB, Klatt D, Braun J, et al. In vivo viscoelastic properties of the brain in normal pressure hydrocephalus. NMR Biomed. 2011 May;24(4):385-92.
6. Fattahi N, Arani A, Glaser KJ, Manduca A, Wetjen NM, Perry A, et al. Magnetic Resonance Elastography of Normal Pressure Hydrocephalus. Proc Intl Soc Mag Reson Med 23 2015.
7. Murphy MC, Huston J, 3rd, Jack CR, Jr., Glaser KJ, Senjem ML, Chen J, et al. Measuring the characteristic topography of brain stiffness with magnetic resonance elastography. PLoS One. 2013;8(12):e81668.
8. Arani A, Murphy MC, Glaser KJ, Manduca A, Lake DS, Kruse SA, et al. Measuring the effects of aging and sex on regional brain stiffness with MR elastography in healthy older adults. Neuroimage. 2015 May 1;111:59-64.