Detection of axonal degeneration in a mouse model of Huntington’s disease: comparison between diffusion tensor imaging and anomalous diffusion metrics
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Objective The goal of this work is to study the changes in white matter integrity in R6/2, a well-established animal model of Huntington's disease (HD) that are captured by ex vivo diffusion imaging (DTI) using a high field MRI (17.6 T). Materials and methods DTI and continuous time random walk (CTRW) models were used to fit changes in the diffusion-weighted signal intensity in the corpus callosum of controls and in R6/2 mice. Results A significant 13% decrease in fractional anisotropy, a 7% increase in axial diffusion, and a 33% increase in radial diffusion were observed between R6/2 and control mice. No change was observed in the CTRW beta parameter, but a significant decrease in the alpha parameter (- 21%) was measured. Histological analysis of the corpus callosum showed a decrease in axonal organization, myelin alterations, and astrogliosis. Electron microscopy studies demonstrated ultrastructural changes in degenerating axons, such as an increase in tortuosity in the R6/2 mice. Conclusions DTI and CTRW diffusion models display quantitative changes associated with the microstructural alterations observed in the corpus callosum of the R6/2 mice. The observed increase in the diffusivity and decrease in the alpha CTRW parameter providing support for the use of these diffusion models for non-invasive detection of white matter alterations in HD.
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Previous studies on 3×Tg-AD mice have reported significant volumetric decreases and WM microstructural abnormalities in the corpus callosum and internal capsule compared with controls.
“Previous studies on 3×Tg-AD mice have reported significant volumetric decreases (Kong et al., 2018) and WM microstructural abnormalities (Praet et al., 2018; Gatto et al., 2019; Bergamino et al., 2023) in the CC and internal capsule compared with controls.”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Gatto et al., 2019
The Results and Discussion report white-matter microstructural abnormalities in the corpus callosum compared with controls. But the mice studied were R6/2 Huntington’s disease mice, not 3×Tg-AD mice, and these passages do not report abnormalities in the internal capsule. The volumetric-decrease portion of the citing sentence is attributed to Kong et al., not to this source. (LLM, conf=0.88)
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NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
Myelin breakdown and iron changes in Huntington's disease: pathogenesis and treatment implications
Bartzokis, G., Lu, P. H., Tishler, T. A., Fong, S. M., Oluwadara, B., Finn, J. P., Huang, D., Bordelon, Y., Mintz, J., & Perlman, S. (2007) · Neurochemical Research · doi:10.1007/s11064-007-9352-7 · Cited by 238 · see citing works
Zhang, J., Jones, M. V., McMahon, M. T., Mori, S., & Calabresi, P. A. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23032 · Cited by 88 · see citing works
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Research works printed but not linked: 58
- [1]Harper PS (1992) The epidemiology of Huntington’s disease. Hum Genet 89(4): 365– 376 1535611
- [2]Pringsheim T, Wiltshire K, Day L, Dykeman J, Steeves T, Jette N (2012) The incidence and prevalence of Huntington’s disease: a systematic review and meta-analysis. Mov Disord 27(9): 1083– 1091 22692795
- [3]Walker FO (2007) Huntington’s disease. Lancet 369(9557): 218– 228 17240289
- [4]Han I, You Y, Kordower JH, Brady ST, Morfini GA (2010) Differential vulnerability of neurons in Huntington’s disease: the role of cell type-specific features. J Neurochem 113(5): 1073– 1091 20236390 PMC2890032
- [5]Perez-Navarro E, Canals JM, Gines S, Alberch J (2006) Cellular and molecular mechanisms involved in the selective vulnerability of striatal projection neurons in Huntington’s disease. Histol Histopathol 21(11): 1217– 1232 16874665
- [6]Pouladi MA, Morton AJ, Hayden MR (2013) Choosing an animal model for the study of Huntington’s disease. Nat Rev Neurosci 14(10): 708– 721 24052178
- [7]Mangiarini L, Sathasivam K, Seller M, Cozens B, Harper A, Hetherington C, Lawton M, Trottier Y, Lehrach H, Davies SW, Bates GP (1996) Exon 1 of the HD gene with an expanded CAG repeat is sufficient to cause a progressive neurological phenotype in transgenic mice. Cell 87(3): 493– 506 8898202
- [8]Menalled L, El-Khodor BF, Patry M, Suarez-Farinas M, Orenstein SJ, Zahasky B, Leahy C, Wheeler V, Yang XW, MacDonald M, Morton AJ, Bates G, Leeds J, Park L, Howland D, Signer E, Tobin A, Brunner D (2009) Systematic behavioral evaluation of Huntington’s disease transgenic and knock-in mouse models. Neurobiol Dis 35(3): 319– 336 19464370 PMC2728344
- [9]Ramaswamy S, McBride JL, Kordower JH (2007) Animal models of Huntington’s disease. ILAR J 48(4): 356– 373 17712222
- [10]Gatto RG, Chu Y, Ye AQ, Price SD, Tavassoli E, Buenaventura A, Brady ST, Magin RL, Kordower JH, Morfini GA (2015) Analysis of YFP(J16)-R6/2 reporter mice and postmortem brains reveals early pathology and increased vulnerability of callosal axons in Huntington’s disease. Hum Mol Genet 24(18): 5285– 5298 26123489 PMC4550824
- [11]Rosas HD, Lee SY, Bender AC, Zaleta AK, Vangel M, Yu P, Fischl B, Pappu V, Onorato C, Cha JH, Salat DH, Hersch SM (2010) Altered white matter microstructure in the corpus callosum in Huntington’s disease: implications for cortical “disconnection”. NeuroImage 49(4): 2995– 3004 19850138 PMC3725957
- [12]Poudel GR, Stout JC, Dominguez DJ, Churchyard A, Chua P, Egan GF, Georgiou-Karistianis N (2015) Longitudinal change in white matter microstructure in Huntington’s disease: the IMAGE-HD study. Neurobiol Dis 74: 406– 412 25497085
- [13]Poudel GR, Stout JC, Dominguez DJ, Salmon L, Churchyard A, Chua P, Georgiou-Karistianis N, Egan GF (2014) White matter connectivity reflects clinical and cognitive status in Huntington’s disease. Neurobiol Dis 65: 180– 187 24480090
- [14]Rosas HD, Tuch DS, Hevelone ND, Zaleta AK, Vangel M, Hersch SM, Salat DH (2006) Diffusion tensor imaging in presymptomatic and early Huntington’s disease: selective white matter pathology and its relationship to clinical measures. Mov Disord 21(9): 1317– 1325 16755582
- [15]Le Bihan D (2013) Apparent diffusion coefficient and beyond: what diffusion MR imaging can tell us about tissue structure. Radiology 268(2): 318– 322 23882093
- [16]Tabesh A, Jensen JH, Ardekani BA, Helpern JA (2011) Estimation of tensors and tensor-derived measures in diffusional kurtosis imaging. Magn Reson Med 65(3): 823– 836 21337412 PMC3042509
- [18]Ingo C, Magin RL, Colon-Perez L, Triplett W, Mareci TH (2014) On random walks and entropy in diffusion-weighted magnetic resonance imaging studies of neural tissue. Magn Reson Med 71(2): 617– 627 23508765 PMC4930657
- [19]Yu Q, Reutens D, O’Brien K, Vegh V (2016) Tissue microstructure features derived from anomalous diffusion measurements in magnetic resonance imaging. Hum Brain Mapp 38(2): 1068– 1081 27753462 PMC6866752
- [20]Karaman MM, Sui Y, Wang H, Magin RL, Li Y, Zhou XJ (2016) Differentiating low- and high-grade pediatric brain tumors using a continuous-time random-walk diffusion model at high b-values. Magn Reson Med 76(4): 1149– 1157 26519663 PMC4852163
- [21]Xu B, Su L, Wang Z, Fan Y, Gong G, Zhu W, Gao P, Gao JH (2017) Anomalous diffusion in cerebral glioma assessed using a fractional motion model. Magn Reson Med 78(5): 1944– 1949 28054416
- [22]Karaman MM, Wang H, Sui Y, Engelhard HH, Li Y, Zhou XJ (2016) A fractional motion diffusion model for grading pediatric brain tumors. NeuroImage Clinical 12: 707– 714 27761401 PMC5065039
- [23]Gatto RG, Li W, Magin RL (2018) Diffusion tensor imaging identifies presymptomatic axonal degeneration in the spinal cord of ALS mice. Brain Res 1679: 7 29175489
- [24]Alexander AL, Lee JE, Lazar M, Field AS (2007) Diffusion tensor imaging of the brain. Neurotherapeutics 4(3): 316– 329 17599699 PMC2041910
- [25]Gatto RG (2018) Diffusion tensor imaging as a tool to detect presymptomatic axonal degeneration in a preclinical spinal cord model of amyotrophic lateral sclerosis. Neural Regen Res 13(3): 425– 426 29623925 PMC5900503
- [27]Magin RL, Ingo C, Colon-Perez L, Triplett W, Mareci TH (2013) Characterization of anomalous diffusion in porous biological tissues using fractional order derivatives and entropy. Microporous Mesoporous Mater 178: 39– 43 24072979 PMC3780456
- [28]Klages R, Radons G, Sokolov IM (eds) (2012) Anomalous transport: foundations and applications. Wiley, Weinheim
- [29]Magin RL, Abdullah O, Baleanu D, Zhou XJ (2008) Anomalous diffusion expressed through fractional order differential operators in the Bloch–Torrey equation. J Magnetic Resonance 190(2): 255– 270 18065249
- [30]Gorenflo RMF, Moretti D, Pagnini G, Paradisi P (2002) Fractional diffusion: probability distributions and random walk models. Phys A 305(1–2): 106– 112
- [31]Wen CSH, Zhanga X, Korosak D (2010) Anomalous diffusion modeling by fractal and fractional derivatives. Comput Math Appl 59(5): 1754– 1758
- [32]Lenzi EK, Ribeiro HV, Tateishi AA, Zola RS, Evangelista LR (2016) Anomalous diffusion and transport in heterogeneous systems separated by a membrane. Proc Math Phys Eng Sci 472(2195): 20160502 PMC5134308 27956877
- [33]Klafter J, Lim SC, Metzler R (eds) (2011) Fractional dynamics: recent advances. World Scientific, Sinapore
- [34]Mainardi F (2000) Fractional calculus and waves in linear viscoelasticity: an introduction to mathematical models. Imperial College Press, London
- [35]Ingo C, Magin RL, Parrish TB (2014) New insights into the fractional order diffusion equation using entropy and kurtosis. Entropy 16(11): 5838– 5852 28344436 PMC5365032
- [37]Mount SL, Schwarz JE, Taatjes DJ (1997) Prolonged storage of fixative for electron microscopy: effects on tissue preservation for diagnostic specimens. Ultrastruct Pathol 21(2): 195– 200 9090030
- [39]Vranceanu F, Perkins GA, Terada M, Chidavaenzi RL, Ellisman MH, Lysakowski A (2012) Striated organelle, a cytoskeletal structure positioned to modulate hair-cell transduction. Proc Natl Acad Sci USA 109(12): 4473– 4478 22396594 PMC3311375
- [40]Shaffer JJ, Ghayoor A, Long JD, Kim RE, Lourens S, O’Donnell LJ, Westin CF, Rathi Y, Magnotta V, Paulsen JS, Johnson HJ (2017) Longitudinal diffusion changes in prodromal and early HD: evidence of white-matter tract deterioration. Hum Brain Mapp 38(3): 1460– 1477 28045213 PMC5400101
- [41]Phillips O, Squitieri F, Sanchez-Castaneda C, Elifani F, Caltagirone C, Sabatini U, Di Paola M (2014) Deep white matter in Huntington’s disease. PLoS One 9(10): e109676 PMC4207674 25340651
- [42]Phillips OR, Joshi SH, Squitieri F, Sanchez-Castaneda C, Narr K, Shattuck DW, Caltagirone C, Sabatini U, DiPaola M (2016) Major superficial white matter abnormalities in Huntington’s disease. Front Neurosci 10: 197 27242403 PMC4876130
- [43]Symms M, Jager HR, Schmierer K, Yousry TA (2004) A review of structural magnetic resonance neuroimaging. J Neurol Neurosurg Psychiat 75(9): 1235– 1244 15314108 PMC1739217
- [44]Höfling F, Franosch T (2013) Anomalous transport in the crowded world of biological cells. Rep Prog Phys 76: 046602 23481518
- [46]Morton AJ, Glynn D, Leavens W, Zheng Z, Faull RL, Skepper JN, Wight JM (2009) Paradoxical delay in the onset of disease caused by super-long CAG repeat expansions in R6/2 mice. Neurobiol Dis 33(3): 331– 341 19130884
- [47]Li H, Li SH, Yu ZX, Shelbourne P, Li XJ (2001) Huntingtin aggregate-associated axonal degeneration is an early pathological event in Huntington’s disease mice. J Neurosci 21(21): 8473– 8481 11606636 PMC6762783
- [48]Liu W, Yang J, Burgunder J, Cheng B, Shang H (2016) Diffusion imaging studies of Huntington’s disease: a meta-analysis. Park Relat Disord 32: 94– 101 27624391
- [49]Matsui JT, Vaidya JG, Johnson HJ, Magnotta VA, Long JD, Mills JA, Lowe MJ, Sakaie KE, Rao SM, Smith MM, Paulsen JS (2014) Diffusion weighted imaging of prefrontal cortex in prodromal Huntington’s disease. Hum Brain Mapp 35(4): 1562– 1573 23568433 PMC3775984
- [50]Van Camp N, Blockx I, Camon L, de Vera N, Verhoye M, Veraart J, Van Hecke W, Martinez E, Soria G, Sijbers J, Planas AM, Van der Linden A (2012) A complementary diffusion tensor imaging (DTI)-histological study in a model of Huntington’s disease. Neurobiol Aging 33(5): 945– 959 20724035
- [51]Phillips O, Sanchez-Castaneda C, Elifani F, Maglione V, Di Pardo A, Caltagirone C, Squitieri F, Sabatini U, Di Paola M (2013) Tractography of the corpus callosum in Huntington’s disease. PLoS One 8(9): e73280 PMC3760905 24019913
- [52]Mori S, Crain BJ, Chacko VP, van Zijl PC (1999) Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 45(2): 265– 269 9989633
- [53]Weaver KE, Richards TL, Liang O, Laurino MY, Samii A, Aylward EH (2009) Longitudinal diffusion tensor imaging in Huntington’s Disease. Exp Neurol 216(2): 525– 529 19320010 PMC10353299
- [54]Porrero C, Rubio-Garrido P, Avendano C, Clasca F (2010) Mapping of fluorescent protein-expressing neurons and axon pathways in adult and developing Thy1-eYFP-H transgenic mice. Brain Res 1345: 59– 72 20510892
- [55]Chan CS, Surmeier DJ (2014) Astrocytes go awry in Huntington’s disease. Nat Neurosci 17(5): 641– 642 24883452
- [56]Huang B, Wei W, Wang G, Gaertig MA, Feng Y, Wang W, Li XJ, Li S (2015) Mutant huntingtin downregulates myelin regulatory factor-mediated myelin gene expression and affects mature oligodendrocytes. Neuron 85(6): 1212– 1226 25789755 PMC4366619
- [58]Crawford HE, Hobbs NZ, Keogh R, Langbehn DR, Frost C, Johnson H, Landwehrmeyer B, Reilmann R, Craufurd D, Stout JC, Durr A, Leavitt BR, Roos RA, Tabrizi SJ, Scahill RI (2013) Corpus callosal atrophy in premanifest and early Huntington’s disease. J Huntingt Dis 2(4): 517– 526 25062736
- [59]Gomez-Tortosa E, MacDonald ME, Friend JC, Taylor SA, Weiler LJ, Cupples LA, Srinidhi J, Gusella JF, Bird ED, Vonsattel JP, Myers RH (2001) Quantitative neuropathological changes in presymptomatic Huntington’s disease. Ann Neurol 49(1): 29– 34 11198293
- [60]Chilla GS, Tan CH, Xu C, Poh CL (2015) Diffusion weighted magnetic resonance imaging and its recent trend-a survey. Quant Imag Med Surg 5(3): 407– 422 PMC4426106 26029644
- [62]Ryutaro Y, Junichi H, Yoshifumi A, Fumiko S, Keitaro Y, Yuji K, Hideyuki O, Kenji FT (2018) Quantitative temporal changes in DTI values coupled with histological properties in cuprizone-induced demyelination and remyelination. Neurochem Intern 119: 151– 158 29030079
- [64]Ingo C, Sui Y, Chen Y, Parrish TB, Webb AG, Ronen I (2015) Parsimonious continuous time random walk models and kurtosis for diffusion in magnetic resonance of biological tissue. Front Phys 3: 11 28344972 PMC5365033
- [65]Hrabe J, Hrabetova S, Segeth K (2004) A model of effective diffusion and tortuosity in the extracellular space of the brain. Biophys J 87(3): 1606– 1617 15345540 PMC1304566
- [66]Sui Y, Wang H, Liu G, Damen FW, Wanamaker C, Li Y, Zhou XJ (2015) Differentiation of low- and high-grade pediatric brain tumors with high b-value diffusion-weighted MR imaging and a fractional order calculus model. Radiology 277(2): 489– 496 26035586 PMC4627432
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- Authors
- Gatto, R. G., Ye, A. Q., Colon-Perez, L., Mareci, T. H., Lysakowski, A., Price, S. D., Brady, S. T., Karaman, M., Morfini, G., & Magin, R. L.
- Affiliations
- University of Illinois Chicago (US)
- University of Florida (US)
- Corresponding author
- Magin, Richard L.
- ORCID
- Venue
- Magnetic Resonance Materials in Physics, Biology and Medicine
- Published
- 2019-02-15
- Volume
- 32
- Issue
- 4
- Pages
- 461-471
- ISSN
- 0968-5243 (ISSN-L)
- 1352-8661
- PMC
- PMC7837609
- OpenAlex
- W2912762199
- Cited by
- 42
- References
- 3
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 11 · 2020: 9 · 2019: 4 · 2018: 1
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Magnetic Resonance Materials in Physics Biology and Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Advancing Translational Science (NCATS TLTR000049)
- National Institutes of Health (NIH DC02058, NIH R21NS096642, CHDI #A-11872)
- Chicago Biomedical Consortium (Award #085740)
- National Science Foundation (DMR-1157490)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Genetic Neurodegenerative Diseases
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- Huntington's disease, R6/2 mice, axonal degeneration, white matter integrity, diffusion tensor imaging, anomalous diffusion, continuous time random walk, fractional anisotropy, corpus callosum, astrocyte activation, axon ultrastructure, high-field MRI
- MeSH terms
- Animals, Axons, Corpus Callosum, Female, Huntington Disease, Magnetic Resonance Imaging, Male, Microscopy, Fluorescence, Myelin Sheath, Anisotropy, Mice, Diffusion Tensor Imaging, White Matter
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