A diffusion tensor MRI study of patients with MCI and AD with a 2-year clinical follow-up
Open accessAbstract
Objective The authors assessed whether brain changes detected by diffusion tensor (DT) MRI can improve the understanding of structural damage in Alzheimer's disease (AD) and are associated with different risks of conversion to AD in amnestic mild cognitive impairment (aMCI). Methods Twenty-one aMCI patients, 21 AD patients and 20 healthy subjects underwent conventional and DT MRI at baseline. All subjects were clinically followed up over 2 years; at the end of follow-up, aMCI were grouped into converters to AD (aMCI-C) and non-converters (aMCI-NC). The mean diffusivity (MD) and fractional anisotropy (FA) were obtained from total grey matter (GM) and white matter (WM), and from several GM and WM regions of interest (ROIs). On T1-weighted images, normalised volumes of the whole brain (NBV), GM (NGMV) and WM were measured. Results A significant 'trend' of worsening with a trajectory 'normal/aMCI/AD' was found for NBV and NGMV, total GM and WM MD, total WM FA, as well as for diffusivity abnormalities in several GM and WM ROIs, mainly located in posterior brain regions. aMCI-C had GM and WM changes similar to those seen in AD, whereas aMCI-NC showed a DT MRI pattern similar to that of healthy subjects. DT MRI metrics that better distinguished aMCI-C from aMCI-NC were MD of total GM and WM, hippocampi, anterior insulae, frontal and parietal WM, occipital GM and WM, and FA of temporal WM. Volumetric variables were not able to distinguish the two aMCI subgroups (aMCI-C and aMCI-NC).…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Previous studies reported increases of mean diffusivity in mild cognitive impairment patients that converted to Alzheimer's disease compared to mild cognitive impairment subjects that remained stable over several years.
“as well as in MCI patients that converted to AD compared to MCI subjects that remained stable over a period of several years (Douaud et al., 2013, Fellgiebel et al., 2006, Scola et al., 2010, van Uden et al., 2016).”
From Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction (2018) · cites this paper as Scola et al., 2010
Cites
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664 · see citing works
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 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Jacobs, H. I. L., Van Boxtel, M. P. J., Jolles, J., Verhey, F. R. J., & Uylings, H. B. M. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.06.009 · Cited by 293 · see citing works
Cortical microstructural changes along the Alzheimer’s disease continuum
Montal, V., Vilaplana, E., Alcolea, D., Pegueroles, J., Pasternak, O., González‐Ortiz, S., Clarimón, J., Carmona‐Iragui, M., Illán‐Gala, I., Morenas‐Rodríguez, E., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.09.013 · Cited by 204 · see citing works
<scp>EFNS</scp> task force: the use of neuroimaging in the diagnosis of dementia
Filippi, M., Agosta, F., Barkhof, F., Dubois, B., Fox, N. C., Frisoni, G. B., Jack, C. R., Johannsen, P., Miller, B. L., Nestor, P. J., et al. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2012.03859.x · Cited by 141 · see citing works
Self-citationClerx, L., Visser, P. J., Verhey, F., & Aalten, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110797 · Cited by 132 · see citing works
Parker, T. D., Slattery, C. F., Zhang, J., Nicholas, J. M., Paterson, R. W., Foulkes, A. J. M., Malone, I. B., Thomas, D. L., Modat, M., Cash, D. M., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24056 · Cited by 122 · see citing works
Myelin changes at the early stage of 5XFAD mice
Gu, L., Wu, D., Tang, X., Qi, X., Li, X., Bai, F., Chen, X., Ren, Q., & Zhang, Z. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.12.013 · Cited by 87 · see citing works
Selected Findings from the Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Wilson, R. S., Arvanitakis, Z., Boyle, P. A., de Toledo-Morrell, L., & Schneider, J. A. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2012-129007 · Cited by 69 · see citing works
Henf, J., Grothe, M. J., Brueggen, K., Teipel, S., & Dyrba, M. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.10.005 · Cited by 64 · see citing works
Hong, Y. J., Yoon, B., Lim, S.-C., Shim, Y. S., Kim, J.-Y., Ahn, K. J., Han, I.-W., & Yang, D. W. (2013) · Neurological Sciences · doi:10.1007/s10072-012-1225-4 · Cited by 48 · see citing works
Snow, W. M., Dale, R., O’Brien-Moran, Z., Buist, R., Peirson, D., Martin, M., & Albensi, B. C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170136 · Cited by 29 · see citing works
Callow, D. D., Won, J., Pena, G. S., Jordan, L. S., Arnold-Nedimala, N. A., Kommula, Y., Nielson, K. A., & Smith, J. C. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.645258 · Cited by 27 · see citing works
In vivo diffusion tensor imaging of amyloid‐β‐induced white matter damage in mice
Sun, S.-W., Liang, H.-F., Mei, J., Xu, D., & Shi, W.-X. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130236 · Cited by 27 · see citing works
Scrascia, F., Curcio, G., Ursini, F., Trotta, L., Quintiliani, L., Migliore, S., Altamura, C., Pitocco, F., Altavilla, R., Melgari, J.-M., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130788 · Cited by 22 · see citing works
- Authors
- Scola, E., Bozzali, M., Agosta, F., Magnani, G., Franceschi, M., Sormani, M. P., Cercignani, M., Pagani, E., Falautano, M., Filippi, M., & Falini, A.
- Affiliations
- IRCCS Ospedale San Raffaele (IT)
- Fondazione Santa Lucia (IT)
- MultiMedica (IT)
- UCL Queen Square Institute of Neurology (GB)
- ORCID
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 2010-04-14
- Volume
- 81
- Issue
- 7
- Pages
- 798-805
- ISSN
- 0022-3050 (ISSN-L)
- OpenAlex
- W1995269864
- Cited by
- 98
- References
- 2
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 10 · 2021: 6 · 2020: 6 · 2019: 3 · 2018: 2 · 2017: 8 · 2016: 5 · 2015: 9 · 2014: 8 · 2013: 8 · 2012: 9
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- Locations
- Journal of Neurology Neurosurgery & Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (publishedVersion)
- HAL (submittedVersion, other-oa)
- Figshare (submittedVersion, cc-by)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- amnestic mild cognitive impairment, Alzheimer's disease, conversion to Alzheimer's disease, diffusion tensor imaging, mean diffusivity, fractional anisotropy, white matter microstructural damage, brain atrophy, hippocampus, posterior brain regions, prodromal Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Amnesia, Brain, Female, Follow-Up Studies, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Male, Middle Aged, Neuropsychological Tests, Software, Infarction, Middle Cerebral Artery, Diffusion Magnetic Resonance Imaging
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