The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Diffusion tensor imaging in mild cognitive impairment and Alzheimerʼs disease: a review
Abstract
PURPOSE OF REVIEW: To provide a comprehensive review of diffusion tensor imaging in evaluating microstructural changes in the spectrum of cognitive decline from ageing to Alzheimer's disease, in particular focusing on mild cognitive impairment. RECENT FINDINGS: Mild cognitive impairment represents a transition phase between normal ageing and early Alzheimer's disease. Diffusion tensor imaging has emerged as a useful imaging modality that provides information about the structural integrity of tissue. In healthy ageing, diffusion tensor imaging abnormalities occur in the frontal regions, specifically the frontal white matter, anterior cingulum and the genu of the corpus callosum. Some studies report an anterior-posterior gradient change with greater abnormalities in the genu than the splenium of the corpus callosum and in the frontal than parietal white matter. In Alzheimer's disease, diffusion tensor imaging abnormalities are concentrated in the posterior regions: the parahippocampal gyrus, temporal white matter, splenium of corpus callosum and posterior cingulum. In mild cognitive impairment, changes seem to parallel those in Alzheimer's disease, with similar posterior regions showing abnormalities. SUMMARY: Due to the similarities in diffusion tensor imaging findings in both mild cognitive impairment and Alzheimer's disease, it is likely that diffusion tensor imaging has the potential to emerge as a useful clinical tool for early detection and monitoring of disease progression and treatment response in mild cognitive impairment/Alzheimer's disease patients.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Both preclinical and clinical studies have reported reduced fractional anisotropy (FA) and increased mean diffusivity (MD) in AD.”
From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [17]
In the citing paper
“However, as age-related changes were also observed in the number of reconstructed fibres in the parahippocampal cingulum they proposed that aging may affect both ends of the cingulum across the lifespan (see also Chua et al., 2008).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Chua et al., 2008
Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
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. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Gauthier, S. G., Reisberg, ., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094
Fiber tracking: principles and strategies – a technical review
Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03295.2003 · Cited by 1,425
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Research works printed but not linked: 5
- Taylor, 2004, Neurosci Perspect, 55, 201
- Bartzokis, 1994, AJNR Am J Neuroradiol, 15, 1129
- Blatter, 1995, AJNR Am J Neuroradiol, 16, 241
- Nusbaum, 2001, AJNR Am J Neuroradiol, 22, 136
- Hanyu, 2002, AJNR Am J Neuroradiol, 23, 27
Cited by
Sorted by citations
Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences
Fjell, A. M., & Walhovd, K. B. (2010) · Reviews in the Neurosciences · doi:10.1515/revneuro.2010.21.3.187 · Cited by 1,158
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740
“This pattern of white matter differences is consistent with the well-established grey matter loss in parahippocampal, hippocampal, and posterior cingulate regions in Alzheimer’s disease (Choo et al., 2010; Chua et al., 2008).”
Beddington, J., Cooper, C. L., Field, J., Goswami, U., Huppert, F. A., Jenkins, R., Jones, H. S., Kirkwood, T. B. L., Sahakian, B. J., & Thomas, S. M. (2008) · Nature · doi:10.1038/4551057a · Cited by 554
Training of Working Memory Impacts Structural Connectivity
Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N., Yamanouchi, T., Suzuki, S., & Kawashima, R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4611-09.2010 · Cited by 531
Douaud, G., Jbabdi, S., Behrens, T. E. J., Menke, R. A., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Kindlmann, G., Matthews, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.008 · Cited by 514
“As expected from the literature (reviews in Chua et al., 2008; Hess, 2009), all indices converged to demonstrate white matter microstructural changes in the cingulum bundle, uncinate fasciculus, corpus callosum, anterior commissure and SLF in patients with AD.”
BackgroundResultInfluential
Metadata
- Authors
- Chua, T. C., Wen, W., Slavin, M. J., & Sachdev, P. S.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Chua, Terence C
- Venue
- Current Opinion in Neurology
- Published
- 2008-02
- Volume
- 21
- Issue
- 1
- Pages
- 83-92
- ISSN
- 1350-7540 (ISSN-L)
- OpenAlex
- W2009036027
- Cited by
- 273
- References
- 84
- Citations by year
- 2026: 6 · 2025: 1 · 2024: 4 · 2023: 5 · 2022: 8 · 2021: 14 · 2020: 14 · 2019: 14 · 2018: 15 · 2017: 11 · 2016: 12 · 2015: 21 · 2014: 26 · 2013: 34 · 2012: 19
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Neurology (publishedVersion)
- PubMed (publishedVersion)
- 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
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- diffusion tensor imaging, mild cognitive impairment, Alzheimer's disease, white matter microstructure, healthy aging, corpus callosum, anterior cingulum, parahippocampal gyrus, cognitive decline, early detection of Alzheimer's disease, disease progression monitoring
- MeSH terms
- Aging, Alzheimer Disease, Brain Mapping, Cognition Disorders, Humans, Image Processing, Computer-Assisted, Neuropsychological Tests, 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
