MR Elastography Demonstrates Unique Regional Brain Stiffness Patterns in Dementias
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.

Figures

Table 1

Parameter estimates of multiple linear regression models for all 46 cognitively normal volunteers. Stiffness = (intercept) + (sex bias)(sex) + (age slope)(age), where sex = +1 for males and -1 for females. The reported uncertainties are standard deviations (±).


Table 2

Summary of the mean stiffness results of dementia subjects (NPH, AD and FTD subgroups) across different brain regions. Asterisks (*) indicate statistically significant values compared to normal controls.


Figure 1

Summary boxplots of parietal lobe stiffness in NPH, AD and FTD compared to normal controls.


Figure 2

Sagittal T1, wave and elastogram images of three 86-year-old males: normal volunteer (top row), NPH (middle row), and AD (bottom row). Findings show increased parietal and occipital stiffness in the NPH subject, decreased frontal stiffness in NPH and AD subjects, and decreased parietal stiffness in the AD subject.




Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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