The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Decreased brain stiffness in Alzheimer's disease determined by magnetic resonance elastography
Open accessAbstract
Purpose: To test patient acceptance and reproducibility of the 3D magnetic resonance elastography (MRE) brain exam using a soft vibration source, and to determine if MRE could noninvasively measure a change in the elastic properties of the brain parenchyma due to Alzheimer's disease (AD). Materials and Methods: MRE exams were performed using an accelerated spin‐echo echo planar imaging (EPI) pulse sequence and stiffness was calculated with a 3D direct inversion algorithm. Reproducibility of the technique was assessed in 10 male volunteers, who each underwent four MRE exams separated into two imaging sessions. The effect of AD on brain stiffness was assessed in 28 volunteers, 7 with probable AD, 14 age‐ and gender‐matched PIB‐negative (Pittsburgh Compound B, a PET amyloid imaging ligand) cognitively normal controls (CN−), and 7 age‐ and gender‐matched PIB‐positive cognitively normal controls (CN+). Results: The median stiffness of the 10 volunteers was 3.07 kPa with a range of 0.40 kPa. The median and maximum coefficients of variation for these volunteers were 1.71% and 3.07%. The median stiffness of the 14 CN− subjects was 2.37 kPa (0.44 kPa range) compared to 2.32 kPa (0.49 kPa range) within the CN+ group and 2.20 kPa (0.33 kPa range) within the AD group. A significant difference was found between the three groups (P = 0.0055, Kruskal–Wallis one‐way analysis of variance). Both the CN+ and CN− groups were significantly different from the AD group. Conclusion: 3D MRE of the brain can be performed reproducibly and demonstrates significantly reduced brain tissue stiffness in patients with AD. J. Magn. Reson. Imaging 2011;. © 2011 Wiley‐Liss, Inc.
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The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Self-citationAlzheimer Disease in the US Population: Prevalence Estimates Using the 2000 Census
Hebert, L. E., Scherr, P. A., Bienias, J. L., Bennett, D. A., & Evans, D. A. (2003) · Archives of Neurology · doi:10.1001/archneur.60.8.1119 · Cited by 2,168
The impact of aging and gender on brain viscoelasticity
Sack, I., Beierbach, B., Wuerfel, J., Klatt, D., Hamhaber, U., Papazoglou, S., Martus, P., & Braun, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.040 · Cited by 423
Mild cognitive impairment and Alzheimer disease: regional diffusivity of water
Kantarci, K., Jack, C. R., Xu, Y. C., Campeau, N. G., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Kokmen, E., Tangalos, E. G., et al. (2001) · Radiology · doi:10.1148/radiology.219.1.r01ap14101 · Cited by 300
Self-citationWhite matter pathology isolates the hippocampal formation in Alzheimer's disease
Salat, D. H., Tuch, D. S., van der Kouwe, A. J. W., Greve, D. N., Pappu, V., Lee, S. Y., Hevelone, N. D., Zaleta, A. K., Growdon, J. H., Corkin, S., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.03.013 · Cited by 279
Cited by
Arani, A., Murphy, M. C., Glaser, K. J., Manduca, A., Lake, D. S., Kruse, S. A., Jack, C. R., Ehman, R. L., & Huston, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.016 · Cited by 236
Self-citationFeasibility of using 3D MR elastography to determine pancreatic stiffness in healthy volunteers
Shi, Y., Glaser, K. J., Venkatesh, S. K., Ben‐Abraham, E. I., & Ehman, R. L. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24572 · Cited by 128
Self-citationGeneral review of magnetic resonance elastography
Low, G. (2016) · World Journal of Radiology · doi:10.4329/wjr.v8.i1.59 · Cited by 123
Hiscox, L. V., Johnson, C. L., McGarry, M. D. J., Perrins, M., Littlejohn, A., van Beek, E. J. R., Roberts, N., & Starr, J. M. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.01.010 · Cited by 118
Brain mechanical property measurement using MRE with intrinsic activation
Weaver, J. B., Pattison, A. J., McGarry, M. D., Perreard, I. M., Swienckowski, J. G., Eskey, C. J., Lollis, S. S., & Paulsen, K. D. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/22/7275 · Cited by 102
Metadata
- Authors
- Murphy, M. C., Huston, J., Jack, C. R., Glaser, K. J., Manduca, A., Felmlee, J. P., & Ehman, R. L.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2011-07-12
- Volume
- 34
- Issue
- 3
- Pages
- 494-498
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W2009565629
- Cited by
- 348
- References
- 7
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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