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.
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Both preclinical and clinical studies have reported reduced fractional anisotropy (FA) and increased mean diffusivity (MD) in AD.
“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]
Aging may affect both ends of the cingulum across the lifespan.
“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
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Sydnor, V. J., Rivas-Grajales, A. M., Lyall, A. E., Zhang, F., Bouix, S., Karmacharya, S., Shenton, M. E., Westin, C.-F., Makris, N., Wassermann, D., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.044 · Cited by 43 · see citing works
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- 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
- Health Sciences › Medicine › Physiology › 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
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