In vivo characterization of white matter pathology in premanifest huntington's disease
Open accessAbstract
Objective: Huntington's disease (HD) is a monogenic, fully penetrant neurodegenerative disorder, providing an ideal model for understanding brain changes occurring in the years prior to disease onset. Diffusion tensor imaging (DTI) studies show widespread white matter disorganization in the early premanifest stages (pre‐HD). However, although DTI has proved informative, it provides only limited information about underlying changes in tissue properties. Neurite orientation dispersion and density imaging (NODDI) is a novel magnetic resonance imaging (MRI) technique for characterizing axonal pathology more specifically, providing metrics that separately quantify axonal density and axonal organization. Here, we provide the first in vivo characterization of white matter pathology in pre‐HD using NODDI. Methods: Diffusion‐weighted MRI data that support DTI and NODDI were acquired from 38 pre‐HD and 45 control participants. Using whole‐brain and region‐of‐interest analyses, NODDI metrics were compared between groups and correlated with clinical scores of disease progression. Whole‐brain changes in DTI metrics were also examined. Results: The pre‐HD group displayed widespread reductions in axonal density compared with control participants; this correlated with measures of clinical disease progression in the body and genu of the corpus callosum. There was also evidence in the pre‐HD group of increased coherence of axonal packing in the white matter surrounding the basal ganglia. Interpretation: Our findings suggest that reduced axonal density is one of the major factors underlying white matter pathology in pre‐HD, coupled with altered local organization in areas surrounding the basal ganglia. NODDI metrics show promise in providing more specific information about the biological processes underlying HD and neurodegeneration per se. Ann Neurol 2018;84:497–504
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C., Watkins, K., Ciccarelli, O., Cader, M., Matthews, P., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,035 · see citing works
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
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
Self-citationAdams, J., Dinesh, K., Xiong, M., Tarolli, C. G., Sharma, S., Sheth, N., Aranyosi, A. J., Zhu, W. Y., Goldenthal, S. B., Biglan, K., et al. (2017) · Digital Biomarkers · doi:10.1159/000479018 · Cited by 3,190 · see citing works
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R. P., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,832 · see citing works
Self-citationHuntington's disease: from molecular pathogenesis to clinical treatment
Ross, C. A., & Tabrizi, S. J. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70245-3 · Cited by 1,751 · see citing works
Self-citationGauthier, L. R., Charrin, B. C., Borrell-Pagès, M., Dompierre, J. P., Rangone, H., Cordelières, F. P., De Mey, J., MacDonald, M. E., Leßmann, V., Humbert, S., et al. (2004) · Cell · doi:10.1016/j.cell.2004.06.018 · Cited by 1,178 · see citing works
Langbehn, D. R., Brinkman, R. R., Falush, D., Paulsen, J. S., Hayden, M. R., & on behalf of an International Huntington's Disease Collaborative Group (2004) · Clinical Genetics · doi:10.1111/j.1399-0004.2004.00241.x · Cited by 820 · see citing works
CAG repeat number governs the development rate of pathology in Huntington's disease
Penney, J. B., Vonsattel, J., MacDonald, M. E., Gusella, J. F., & Myers, R. H. (1997) · Annals of Neurology · doi:10.1002/ana.410410521 · Cited by 670 · see citing works
Tabrizi, S. J., Reilmann, R., Roos, R. A. C., Dürr, A., Leavitt, B. R., Owen, G. N., Jones, R., Johnson, H. J., Craufurd, D., Hicks, S. L., et al. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70263-0 · Cited by 540 · see citing works
Self-citationMutant huntingtin impairs axonal trafficking in mammalian neurons in vivo and in vitro
Trushina, E., Dyer, R. B., Badger, J. D., Ure, D., Eide, L., Tran, D. D., Vrieze, B. T., Legendre-Guillemin, V., McPherson, P. S., Mandavilli, B. S., et al. (2004) · Molecular and Cellular Biology · doi:10.1128/mcb.24.18.8195-8209.2004 · Cited by 520 · see citing works
Deformable registration of diffusion tensor MR images with explicit orientation optimization
ZHANG, H., Yushkevich, P. A., Alexander, D. C., & Gee, J. C. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.06.004 · Cited by 461 · see citing works
Self-citationDeformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization
Zhang, H. G., Yushkevich, P. A., & Gee, J. C. (2005) · Lecture notes in computer science · doi:10.1007/11566465_22 · Cited by 389 · see citing works
Self-citationNeurite dispersion: a new marker of multiple sclerosis spinal cord pathology?
Grussu, F., Schneider, T., Tur, C., Yates, R. L., Tachrount, M., Ianuş, A., Yiannakas, M. C., Newcombe, J., Zhang, H., Alexander, D. C., et al. (2017) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.445 · Cited by 291 · cited 2× · see citing works
“A recent histological investigation in patients with multiple sclerosis (MS) using NODDI shows that ODI is also reduced in MS; a finding that was confirmed by histology.(29) This study showed that in areas of intense spinal cord demyelination, orientation variability was reduced, consistent with the existing literatur…”
BackgroundResultSelf-citationKlöppel, S., Draganski, B., Golding, C. V. P., Chu, C., Nagy, Z., Cook, P. A., Hicks, S. L., Christopher Kennard, C., Alexander, D. C., Parker, G. J. M., et al. (2007) · Brain · doi:10.1093/brain/awm275 · Cited by 171 · see citing works
Self-citationBingham–NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI
Tariq, M., Schneider, T., Alexander, D. C., Gandini Wheeler-Kingshott, C. A., & Zhang, H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.046 · Cited by 169 · see citing works
Self-citationBurzynska, A. Z., Jiao, Y., Knecht, A. M., Fanning, J., Awick, E. A., Chen, T., Gothe, N., Voss, M. W., McAuley, E., & Kramer, A. F. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00059 · Cited by 150 · see citing works
Compensation in Preclinical Huntington's Disease: Evidence From the Track-On HD Study
Klöppel, S., Gregory, S., Scheller, E., Minkova, L., Razi, A., Dürr, A., Roos, R. A. C., Leavitt, B. R., Papoutsi, M., Landwehrmeyer, G. B., et al. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.08.002 · Cited by 140 · see citing works
Self-citationShiva Keihaninejad, A., Zhang, H. G., Ryan, N. S., Malone, I. B., Marc Modat, A., Cardoso, M. J., Cash, D. M., Fox, N. C., & Sebastien Ourselin, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.044 · Cited by 112 · see citing works
Self-citationLongitudinal change in white matter microstructure in Huntington's disease: The IMAGE-HD study
Poudel, G. R., Stout, J. C., D, J. F. D., Churchyard, A., Chua, P. M.-L., Egan, G. F., & Georgiou‐Karistianis, N. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.12.009 · Cited by 112 · see citing works
Longitudinal diffusion tensor imaging in frontotemporal dementia
Mahoney, C. J., Simpson, I. J. A., Nicholas, J. M., Fletcher, P. D., Downey, L. E., Golden, H. L., Clark, C. N., Schmitz, N., Rohrer, J. D., Schott, J. M., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24296 · Cited by 101 · see citing works
Self-citationBohanna, I., Georgiou‐Karistianis, N., Sritharan, A., Asadi, H., Johnston, L. A., Churchyard, A., & Egan, G. F. (2011) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9121-8 · Cited by 94 · see citing works
Structural MRI in Huntington's disease and recommendations for its potential use in clinical trials
Georgiou‐Karistianis, N., Scahill, R. I., Tabrizi, S. J., et al. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.022 · Cited by 92 · see citing works
Self-citationOperationalizing compensation over time in neurodegenerative disease
Gregory, S., Long, J. D., Klöppel, S., Razi, A., Scheller, E., Minkova, L., Papoutsi, M., Mills, J. A., Dürr, A., Leavitt, B. R., et al. (2017) · Brain · doi:10.1093/brain/awx022 · Cited by 87 · see citing works
Self-citationCSF contamination contributes to apparent microstructural alterations in mild cognitive impairment
Berlot, R., Metzler-Baddeley, C., Jones, D. K., & O'Sullivan, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.031 · Cited by 72 · see citing works
McColgan, P., Seunarine, K. K., Gregory, S., Razi, A., Papoutsi, M., Long, J. D., Mills, J. A., Johnson, E. B., Dürr, A., Roos, R. A. C., et al. (2017) · JCI Insight · doi:10.1172/jci.insight.92641 · Cited by 46 · see citing works
Self-citationCorpus Callosal Atrophy in Premanifest and Early Huntington's Disease
Crawford, H. E., the TRACK-HD Investigators, Hobbs, N. Z., et al. (2013) · Journal of Huntington s Disease · doi:10.3233/jhd-130077 · Cited by 36 · see citing works
Self-citationGregory, S., Cole, J. H., Farmer, R. E., Rees, E. M., Roos, R. A. C., Sprengelmeyer, R., Dürr, A., Landwehrmeyer, G. B., Zhang, H. G., Scahill, R. I., et al. (2015) · Journal of Huntington s Disease · doi:10.3233/jhd-150173 · Cited by 35 · see citing works
Self-citationDas präsymptomatische Stadium neurodegenerativer Erkrankungen
Klein, C., Hagenah, J., Landwehrmeyer, G. B., et al. (2011) · Der Nervenarzt · doi:10.1007/s00115-011-3258-y · Cited by 15 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [20]Caiafa CF, Sporns O, Saykin A, Pestilli F. Unified representation of tractography and diffusion‐weighted MRI data using sparse multidimensional arrays In: Guyon I, Luxburg UV, Bengio S, et al, eds. Advances in neural information processing systems. Vol 30. Red Hook, NY: Curran Associates, 2017: 4340– 4351.
Cited by
Sorted by citations
Kamiya, K., Hori, M., & Aoki, S. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108908 · Cited by 283 · see citing works
“NODDI has been used to examine many other diseases, including Huntington’s disease (Zhang et al., 2018), galactosemia (Timmers et al.”
MethodWhite Matter Changes after Neurobehavioral Therapy for Functional Seizures
Mueller, C., Goodman, A. M., Allendorfer, J. B., Nenert, R., Gaston, T. E., Grayson, L. E., Correia, S., Philip, N. S., LaFrance, W. C., & Szaflarski, J. P. (2023) · Annals of Neurology · doi:10.1002/ana.26665 · Cited by 19 · see citing works
Yasuno, F., Ando, D., Yamamoto, A., Koshino, K., & Yokota, C. (2019) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2019.01.015 · Cited by 6 · see citing works
- Authors
- Zhang, J., Gregory, S., Scahill, R. I., Durr, A., Thomas, D. L., Lehericy, S., Rees, G., Tabrizi, S. J., Zhang, H., & the TrackOn‐HD investigators
- Affiliations
- University College London (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- UCL Queen Square Institute of Neurology (GB)
- ICM – Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR7225, Sorbonne Universités – UPMC Université Paris VI UMR_S1127 and APHP, Genetic department Pitié–Salpêtrière University Hospital Paris France
- Neuroimaging Research Center, Brain and Spinal Cord Institute Pierre and Marie Curie University, Inserm UMR1127, CNRS 7225 Paris France
- Corresponding author
- Zhang, Jiaying
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2018-09-15
- Volume
- 84
- Issue
- 4
- Pages
- 497-504
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC6221120
- OpenAlex
- W2887241590
- Cited by
- 80
- References
- 32
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 9 · 2023: 6 · 2022: 12 · 2021: 14 · 2020: 8 · 2019: 11 · 2018: 4
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Annals of Neurology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- CHDI Foundation
- China Scholarship Council
- Engineering and Physical Sciences Research Council (EP/L022680/1)
- Wellcome Trust (200181/Z/15/Z)
- 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
- premanifest Huntington's disease, white matter pathology, NODDI, axon density, corpus callosum, basal ganglia, neurodegeneration, disease progression, diffusion MRI
- MeSH terms
- Adult, Aged, Brain, Female, Humans, Huntington Disease, Male, Middle Aged, Diffusion Tensor Imaging, Prodromal Symptoms, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review