Longitudinal, region-specific course of diffusion tensor imaging measures in mild cognitive impairment and Alzheimer’s disease
Open accessAbstract
BACKGROUND: Diffusion tensor imaging (DTI) is a promising method for identifying significant cross-sectional differences of white-matter tracts in normal controls (NC) and those with mild cognitive impairment (MCI) or Alzheimer's disease (AD). There have not been many studies establishing its longitudinal utility. METHODS: Seventy-five participants (25 NC, 25 amnestic MCI, and 25 AD) had 3-Tesla MRI scans and clinical evaluations at baseline and 3, 6, and 12 months. Fractional anisotropy (FA) and mean diffusivity (MD) were analyzed at each time-point and longitudinally in eight a priori-selected areas taken from four regions of interest (ROIs). RESULTS: Cross-sectionally, MD values were higher, and FA values lower in the fornix and splenium of the AD group compared with either MCI or NC (P < .01). Within-group change was more evident in MD than in FA over 12 months: MD increased in the inferior, anterior cingulum, and fornix in both the MCI and AD groups (P < .01). CONCLUSIONS: There were stable, cross-sectional, region-specific differences between the NC and AD groups in both FA and MD at each time-point over 12 months. Longitudinally, MD was a better indicator of change than FA. Significant increases of fornix MD in the MCI group suggest this is an early indicator of progression.
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For all analyses, mean diffusivity was used as the primary DTI measure in autosomal-dominant Alzheimer's disease because previous studies found mean diffusivity to be the most sensitive DTI marker to detect fibre tract alterations.
“For all analyses, we used mean diffusivity as our primary DTI measure in autosomal-dominant Alzheimer’s disease, since previous studies found mean diffusivity to be the most sensitive DTI marker to detect fibre tract alterations (Clerx et al., 2012; Nowrangi et al., 2013).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Nowrangi et al., 2013
The Discussion (page not provided) says MD may be more sensitive to change over 12 months than FA, supporting the rationale for choosing MD. But the study examined normal controls, MCI, and AD—not autosomal-dominant AD—and its tentative longitudinal finding does not establish MD as the most sensitive DTI marker for detecting fibre-tract alterations generally. The citing authors’ choice to use MD for all analyses is their own method, not a finding attributed to this source. (LLM, conf=0.86)
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- Authors
- Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M.
- Affiliations
- Johns Hopkins University (US)
- Mayo Clinic (US)
- Corresponding author
- Nowrangi, Milap A.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2012-12-14
- Volume
- 9
- Issue
- 5
- Pages
- 519-528
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC3639296
- OpenAlex
- W2030309279
- Cited by
- 120
- References
- 64
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 5 · 2023: 11 · 2022: 3 · 2021: 7 · 2020: 13 · 2019: 11 · 2018: 12 · 2017: 6 · 2016: 7 · 2015: 16 · 2014: 7 · 2013: 5
- FWCI
- 6.36
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- GlaxoSmithKline
- National Institute on Aging (P50-AG005146, P50-AG021334, R21 AG033774)
- National Institutes of Health (R21AG033774, P50AG005146)
- 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
- mild cognitive impairment, Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Male, Nerve Fibers, Myelinated, Anisotropy, Diffusion Magnetic Resonance Imaging, Cognitive Dysfunction
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